This is a guest post by Justin Wedes. A graduate of the University of Michigan with degrees in Physics and Linguistics with High Honors, Justin has taught formerly truant and low-income youth in subjects ranging from science to media literacy and social justice activism. A founding member of the New York City General Assembly (NYCGA), the group that brought you Occupy Wall Street, Justin continues his education activism with the Grassroots Education Movement, Class Size Matters, and now serves as the Co-Principal of the Paul Robeson Freedom School.
Yesterday was tax day, when millions of Americans fulfilled that annual patriotic ritual that funds roads, schools, libraries, hospitals, and all those pesky social services that regular people rely upon each day to make our country liveable.
Millions of Americans, yes, but not ALL Americans.
Some choose to help fund roads, schools, libraries, hospitals in other places instead. Like the Cayman Islands.
Don’t get me wrong – I love Caymanians. Beautifully hospitable people they are, and they enjoy arguably the most progressive taxes in the world: zero income tax and only the rich pay when they come to work – read “cook the books” – on their island for a few days a year. School is free, health care guaranteed to all who work. It’s a beautiful place to live, wholly subsidized by the 99% in developed countries like yours and mine.
When they stash their money abroad and don’t pay taxes while doing business on our land, using our workforce and electrical grids and roads and getting our tax incentives to (not) create jobs, WE pay.
We small businesses.
I went down to the Caymans myself to figure out just how easy it is to open an offshore tax haven and start helping Caymanians – and myself – rather than Americans.
Here’s what happened:
This is a guest post by Julia Evans. Julia is a data scientist & programmer who lives in Montréal. She spends her free time these days playing with data and running events for women who program or want to — she just started a Montréal chapter of pyladies to teach programming, and co-organize a monthly meetup called Montréal All-Girl Hack Night for women who are developers.
I asked mathbabe a question a few weeks ago saying that I’d recently started a data science job without having too much experience with statistics, and she asked me to write something about how I got the job. Needless to say I’m pretty honoured to be a guest blogger here :) Hopefully this will help someone!
Last March I decided that I wanted a job playing with data, since I’d been playing with datasets in my spare time for a while and I really liked it. I had a BSc in pure math, a MSc in theoretical computer science and about 6 months of work experience as a programmer developing websites. I’d taken one machine learning class and zero statistics classes.
In October, I left my web development job with some savings and no immediate plans to find a new job. I was thinking about doing freelance web development. Two weeks later, someone posted a job posting to my department mailing list looking for a “Junior Data Scientist”. I wrote back and said basically “I have a really strong math background and am a pretty good programmer”. This email included, embarrassingly, the sentence “I am amazing at math”. They said they’d like to interview me.
The interview was a lunch meeting. I found out that the company (Via Science) was opening a new office in my city, and was looking for people to be the first employees at the new office. They work with clients to make predictions based on their data.
My interviewer (now my manager) asked me about my role at my previous job (a little bit of everything — programming, system administration, etc.), my math background (lots of pure math, but no stats), and my experience with machine learning (one class, and drawing some graphs for fun). I was asked how I’d approach a digit recognition problem and I said “well, I’d see what people do to solve problems like that, and I’d try that”.
I also talked about some data visualizations I’d worked on for fun. They were looking for someone who could take on new datasets and be independent and proactive about creating model, figuring out what is the most useful thing to model, and getting more information from clients.
I got a call back about a week after the lunch interview saying that they’d like to hire me. We talked a bit more about the work culture, starting dates, and salary, and then I accepted the offer.
So far I’ve been working here for about four months. I work with a machine learning system developed inside the company (there’s a paper about it here). I’ve spent most of my time working on code to interface with this system and make it easier for us to get results out of it quickly. I alternate between working on this system (using Java) and using Python (with the fabulous IPython Notebook) to quickly draw graphs and make models with scikit-learn to compare our results.
I like that I have real-world data (sometimes, lots of it!) where there’s not always a clear question or direction to go in. I get to spend time figuring out the relevant features of the data or what kinds of things we should be trying to model. I’m beginning to understand what people say about data-wrangling taking up most of their time. I’m learning some statistics, and we have a weekly Friday seminar series where we take turns talking about something we’ve learned in the last few weeks or introducing a piece of math that we want to use.
Overall I’m really happy to have a job where I get data and have to figure out what direction to take it in, and I’m learning a lot.
This is a guest post by Akhil Mathew, a junior studying mathematics at Harvard. He is also a blogger at Climbing Mount Bourbaki.
Climate change is one of those issues that I heard about as a kid, and I assumed naturally that scientists, political leaders, and the rest of the world would work together to solve it. Then I grew up and realized that never happened.
Carbon dioxide emissions are continuing to rise and extreme weather is becoming normal. Meanwhile, nobody in politics seems to want to act, even when major scientific organizations — and now the World Bank — have warned us in the strongest possible terms that the current path towards or more warming is an absolutely terrible idea (the World Bank called it “devastating”).
A little frustrated, I decided to show up last fall at my school’s umbrella environmental group to hear about the various programs. Intrigued by a curious-sounding divestment campaign, I went to the first meeting. I had zero knowledge of or experience with the climate movement, and did not realize what it was going to become.
Divestment from fossil fuel companies is a simple and brilliant idea, popularized by Bill McKibben’s article “Global Warming’s Terrifying New Math.” As McKibben observes, there are numerous reasons to divest, both ethical and economic. The fossil fuel reserves of these companies — a determinant of their market value — are five(!) times what scientists estimate can be burned to stay within 2 degree warming.
Investing in fossil fuels is therefore a way of betting on climate change. It’s especially absurd for universities to invest in them, when much of the research on climate change took place there. The other side of divestment is symbolic. It’s not likely that Congress will be able to pass a cap-and-trade or carbon tax system anytime soon, especially when fossil fuel companies are among the biggest contributors to political campaigns.
A series of university divestments would draw attention to the problem. It would send a message to the world: that fossil fuel companies should be shunned, for basing their business model on climate change and then for lying about its dangers. This reason echoes the apartheid divestment campaigns of the 1980s. With support from McKibben’s organization 350.org, divestment took off last fall to become a real student movement, and today, over 300 American universities have active divestment campaigns from their students. Four universities — Unity College, Hampshire College, Sterling College, and College of the Atlantic — have already divested. Divestment is spreading both to Canadian universities and to other non-profit organizations. We’ve been covered in the New York Times, endorsed by Al Gore, and, on the other hand, recently featured in a couple of rants by Fox News.
At Harvard, we began our fall semester with a small group of us quietly collecting student petition signatures, mostly by waiting outside the dining halls, but occasionally by going door-to-door among dorms. It wasn’t really clear how many people supported us: we received a mix of enthusiasm, indifference, and occasional amusement from other students.
But after enough time, we made it to 1,000 petition signatures. That was enough to allow us to get a referendum on the student government ballot. The ballot is primarily used to elect student government leaders, but it was our campaign that rediscovered the use of referenda as a tool of student activism. (Following us, two other worthy campaigns — one on responsible investment more generally and one about sexual assault — also created their own referenda.)
After a week of postering and reaching out to student groups, our proposition—that Harvard should divest—won with 72% of the undergraduate student vote. That was a real turning point for us. On the one hand, having people vote on a referendum isn’t the same as engaging in the one-on-one conversations that we did when convincing people to sign our petition. On the other hand, the 72% showed that we had a real majority in support.
The statistic was quickly picked up by the media, since we were the first school to win a referendum on divestment (UNC has since had a winning referendum with 77% support). That was when the campaign took off. People began to take us seriously.
The Harvard administration, which had previously said that they had no intention of considering divestment, promised a serious, forty-five minute meeting with us. We didn’t get what we had aimed for — a private meeting with President Drew Faust — but we had acquired legitimacy from the administration. We were hopeful that we might be able to negotiate a compromise, and ended our campaign last fall satisfied, plotting the trajectory of our campaign at our final meeting.
The spring semester started with a flurry of additional activity and new challenges. On the one hand, we had to plan for the meeting with the administration—more precisely, the Corporation Committee on Social Responsibility. (The CCSR is the subgroup of the Harvard Corporation that decides on issues such as divestment.)
But we also knew that the fight couldn’t be won solely within the system. We had to work on building support on campus, from students and faculty, with rallies and speakers; we also had to reach out to alumni and let them know about our campaign. Fortunately, the publicity generated last semester had brought in a larger group of committed students, and we were able to split our organization into working groups to handle the greater responsibilities.
In Februrary, we got our promised meeting with three members the administration. With three representatives from our group meeting with the CCSR, we had a rally with about 40 people outside to show support:
In the meeting, the administration representatives reiterated their concern about climate change, but questioned divestment as a tool.
Unfortunately, since the meeting, they have continued to reiterate their “presumption against divestment” (a phrase they have used with previous movements). This is the debate we—and students across the nation—are going to have to win.
Divestment alone isn’t going to slow the melting of the Arctic, but it’s a powerful tool to draw attention to climate change and force action from our political system—as it did against apartheid in the 1980s.
And there isn’t much time left. One of the most inspirational things I’ve heard this semester was at the Forward on Climate rally in Washington, D.C. last month, which most of our group attended. Addressing a crowd of 40,000 people, Bill McKibben said “All I ever wanted to see was a movement of people to stop climate change, and now I’ve seen it.”
To me, that’s one of the exciting and hopeful aspects about divestment—that it’s a movement of the people. It’s fundamentally an issue of social justice that we’re facing, and our group’s challenge is to convince Harvard to take it seriously enough to stand up against the fossil fuel industry.
In the meantime, our campaign has been trying to build support from student groups, alumni, and faculty. In a surprise turnaround, one of our members convinced alumnus Al Gore to declare his support for the divestment movement at a recent event on campus. We organized a teach-in the Tuesday before last featuring writer and sociologist Juliet Schor.
On April 11, we will be holding a large rally outside Massachusetts Hall to close out the year and to show support for divestment; we’ll be presenting our petition signatures to the administration. Here’s our most recent picture, taken for the National Day of Action, with some supportive friends from the chess club:
Thanks to Joseph Lanzillo for proofreading a draft of this post.
MathBabe recently wrote an article critical of the elitist nature of Ted Talks, which you can read here. Fortunately for her, and for the hoi polloi everywhere clamoring for populist science edutainment, there is an alternative: Nerd Nite. Once a month, in cities all over the globe, nerds herd into a local bar and turn it into a low-brow forum for innovative science ideas. Think Ted Talks on tequila.
Each month, three speakers present talks for 20-30 minutes, followed by questions and answers from the invariably sold-out audience. The monthly forum gives professional and amateur scientists an opportunity to explain their fairly abstruse specialties accessibly to a lay audience – a valuable skill. Since the emphasis is on science entertainment, it also gives the speakers a chance to present their ideas in a more engaging way: in iambic pentameter, in drag with a tuba, in three-part harmony, or via interpretive dance – an invaluable skill. The resulting atmosphere is informal, delightfully debauched, and refreshingly pro-science.
Slaking our thirst for both science education and mojitos, Nerd Nite started small but quickly went viral. Nerd Nites are now being held in 50 cities, from San Francisco to Kansas City and Auckland to Liberia. You can find the full listing of cities here; if you don’t see one near you, start one!
Last Wednesday night I was twitterpated to be one of three guest nerds sharing the stage at San Francisco’s Nerd Nite. I put the chic back into geek with a biology talk entitled “Genital Plugs, Projectile Penises, and Gay Butterflies: A Naturalist Explains the Birds and the Bees.”
A video recording of the presentation will be available online soon, but in the meantime, here’s a tantalizing clip from the talk, in which Isabella Rossellini explains the mating habits of the bee. Warning: this is scientifically sexy.
I shared the stage with Chris Anderson, who gave a fascinating talk on how the DIY community is building drones out of legos and open-source software. These DIY drones fly below government regulation and can be used for non-military applications, something we hear far too little of in the daily war digest that passes for news. The other speaker was Mark Rosin of the UK-based Guerrilla Science project. This clever organization reaches out to audiences at non-science venues, such as music concerts, and conducts entertaining presentations that teach core science ideas. As part of his presentation Mark used 250 inflated balloons and a bass amp to demonstrate the physics concept of resonance.
If your curiosity has been piqued and you’d like to check out an upcoming Nerd Nite, consider attending the upcoming Nerdtacular, the first Nerd Nite Global Festival, to be held this August 16-18th in Brooklyn, New York.
The global Nerdtacular: Now that’s an idea worth spreading.
This Friday, I’ll be participating at HackPrinceton.
My team will be training an EEG to recognize yes and no thoughts for particular electromechanical devices and creating general human brain interface (HBI) architecture.
We’ll be working on allowing you to turn on your phone and navigate various menus with your mind!
There’s lots of cool swag and prizes – the best being jobs at Google and Microsoft. Everyone on the team has experience in the field,* but of course the more the merrier and you’re welcome no matter what you bring (or don’t bring!) to the table.
If you’re interested, email firstname.lastname@example.org ASAP!
*So far we’ve got a math Ph.D., a mech engineer, some CS/Operations Research guys and while my field is finance I picked up some neuro/machine learning along the way. If you have nothing to do for the next three days and want to learn something specifically for this competition, I recommend checking out my personal favorites: neurofocus.com, frontiernerds.com or neurogadget.com.
One of the saddest moments in my life is when they closed the Penn Station Borders book store to replace it with a store dedicated to the “new teen band” One Direction.
Greetings from Aunt Orthoptera!
(Photo by Becky Jaffe)
This week I am guest blogging for Aunt Pythia, answering all of your queries from the perspective of a variety of insect species, naturally.
Dear Aunt Orthoptera,
My friend just started an advice column. She says she only wants “real” questions. But the membrane between truth and falsity is, as we all know, much more porous and permeable than this reductive boolean schema. What should I do?
P.S. I have a friend who always shows up to dinner parties empty-handed. What should I do?
As I grant your point entirely, I will address only your postscript. What should you do with a friend who shows up to dinner parties empty-handed? Fill her hands with food. As an ant, I have two stomachs: a “social stomach,” and a private stomach. When I pass one of my sisters on our path, we touch each other’s antennae and communicate our needs via pheromones. If she is hungry, we kiss, a process unimaginatively called “trophallaxis” by your scientists. I feed her from my social stomach, and I trust she will do the same for me later – or if not her, exactly, another sister in whom the twin hungers for self-interest and interdependence coexist.
Anatomy as metaphor,
Aunt Orthoptera aka Ms. Myrmecology
(Photo by Becky Jaffe)
Dear Aunt Orthoptera,
I am struggling with emotional loneliness. Do you think it is possible to be happy – or even just productive – in life without a stable romantic relationship? If so, how? I have a couple close friends I can talk with, but they are in their own relationships and they are often too busy to have time to talk. I am in my early thirties and never had a girlfriend despite trying for nearly a decade. I have tried speed-dating, been on eharmony, match, ok cupid, asked friends to set me up, asked out a classmate in grad school, joined meetup groups. I am a nice guy but I have my flaws (nothing horrible) – I am kind of introverted, somewhat boring, and am consumed with my career (I’m untenured). It is so hard to meet people that I am compatible with – especially since I am a shy guy (perhaps it’s not surprising I am a math professor – I LOVE my job, by the way). I found ok cupid to be useful for identifying possibly compatible women but most women don’t respond to my messages. I was lucky to manage to get to go on first (and last) dates with two women I messaged on ok cupid last year, and was interested in going on more dates with both, but both of them declined, even though they both told me I seemed like a good person – “you seem like one of the nicest guys I met” is a direct quote, but that they didn’t feel there was any “chemistry”. This month I have been heartbroken over one of them. All this has been affecting my productivity.
In my anthropological studies of humans, I have observed that you are yearning creatures. Your inexorable primateness destines you to a life of longing for social contact. As a solitary insect, I both pity and admire this craving for connection with your kind. My advice to you is to have compassion for your fundamental humanness. Your yearning for pair bonding is normal; it’s in your nature to want to entangle yourself with another. As creatures born of DNA, pair bonding operates at both the molecular level (e.g. Cytosine pair-bonds with Guanine) and the organismal level (woman to man, man to man, woman to woman).
(Photo: Double Helix by Becky Jaffe)
I suspect there’s another lonely strand of DNA out there for you, worth waiting for.
(Photo by Becky Jaffe)
I hope you find your mate!
Flirting with Sociobiology,
Dear Aunt Orthoptera,
Do you have any self-soothing advice for when self-doubt, lack of confidence, and depression begin to take over?
Feeling Very Small
As a tiny butterfly, I can assure you that it is ok to feel small. Here is my advice to you when you feel this way: Don’t just stop and smell the flowers, nuzzle in them.
(Photo by Becky Jaffe)
Let your worries float away for a little while and drift toward the sweetest thing you can find. When viewed through a compound lens, the whole world can look like nectar.
Spring springs eternal,
Aunt Orthoptera aka Lady Lepidoptera
Dear Aunt Orthoptera,
How will you enquire into that which you do not know?
Excellent question, Musing Meno.
The answer is: with great patience, dear Grasshopper.
(Photo by Becky Jaffe)
Next week, the inimitable Aunt Pythia will return with human advice for you. You can use the form below to submit questions.
Wishing you harmony in your hive and honey to thrive,
I highly recommend That Mitchell and Webb Look.
Guest Post SuperReview Part III of VI: The Occupy Handbook Part I and a little Part II: Where We Are Now
Moving on from Lewis’ cute Bloomberg column reprint, we come to the next essay in the series:
Indefatigable pair Paul Krugman and Robin Wells (KW hereafter) contribute one of the several original essays in the book, but the content ought to be familiar if you read the New York Times, know something about economics or practice finance. Paul Krugman is prolific, and it isn’t hard to be prolific when you have to rewrite essentially the same column every week; question, are there other columnists who have been so consistently right yet have failed to propose anything that the polity would adopt? Political failure notwithstanding, Krugman leaves gems in every paragraph for the reader new to all this. The title “The Widening Gyre” comes from an apocalyptic William Yeats Butler poem. In this case, Krugman and Wells tackle the problem of why the government responded so poorly to the crisis. In their words:
By 2007, America was about as unequal as it had been on the eve of the Great Depression – and sure enough, just after hitting this milestone, we lunged into the worst slump since the Depression. This probably wasn’t a coincidence, although economists are still working on trying to understand the linkages between inequality and vulnerability to economic crisis.
Here, however, we want to focus on a different question: why has the response to crisis been so inadequate? Before financial crisis struck, we think it’s fair to say that most economists imagined that even if such a crisis were to happen, there would be a quick and effective policy response [editor's note: see Kautsky et al 2016 for a partial explanation]. In 2003 Robert Lucas, the Nobel laureate and then president of the American Economic Association, urged the profession to turn its attention away from recessions to issues of longer-term growth. Why? Because he declared, the “central problem of depression-prevention has been solved, for all practical purposes, and has in fact been solved for many decades.”
Famous last words from Professor Lucas. Nevertheless, the curious failure to apply what was once the conventional wisdom on a useful scale intrigues me for two reasons. First, most political scientists suggest that democracy, versus authoritarian system X, leads to better outcomes for two reasons.
1. Distributional – you get a nicer distribution of wealth (possibly more productivity for complicated macro reasons); economics suggests that since people are mostly envious and poor people have rapidly increasing utility in wealth, democracy’s tendency to share the wealth better maximizes some stupid social welfare criterion (typically, Kaldor-Hicks efficiency).
2. Information – democracy is a better information aggregation system than dictatorship and an expanded polity makes better decisions beyond allocation of produced resources. The polity must be capable of learning and intelligent OR vote randomly if uninformed for this to work. While this is the original rigorous justification for democracy (first formalized in the 1800s by French rationalists), almost no one who studies these issues today believes one-person one-vote democracy better aggregates information than all other systems at a national level. “Well Leon,” some knave comments, “we don’t live in a democracy, we live in a Republic with a president…so shouldn’t a small group of representatives better be able to make social-welfare maximizing decisions?” Short answer: strong no, and US Constitutionalism has some particularly nasty features when it comes to political decision-making.
Second, KW suggest that the presence of extreme wealth inequalities act like a democracy disabling virus at the national level. According to KW extreme wealth inequalities perpetuate themselves in a way that undermines both “nice” features of a democracy when it comes to making regulatory and budget decisions.* Thus, to get better economic decision-making from our elected officials, a good intermediate step would be to make our tax system more progressive or expand Medicare or Social Security or…Well, we have a lot of good options here. Of course, for mathematically minded thinkers, this begs the following question: if we could enact so-called progressive economic policies to cure our political crisis, why haven’t we done so already? What can/must change for us to do so in the future? While I believe that the answer to this question is provided by another essay in the book, let’s take a closer look at KW’s explanation at how wealth inequality throws sand into the gears of our polity. They propose four and the following number scheme is mine:
1. The most likely explanation of the relationship between inequality and polarization is that the increased income and wealth of a small minority has, in effect bought the allegiance of a major political party…Needless to say, this is not an environment conducive to political action.
2. It seems likely that this persistence [of financial deregulation] despite repeated disasters had a lot do with rising inequality, with the causation running in both directions. On the one side the explosive growth of the financial sector was a major source of soaring incomes at the very top of the income distribution. On the other side, the fact that the very rich were the prime beneficiaries of deregulation meant that as this group gained power- simply because of its rising wealth- the push for deregulation intensified. These impacts of inequality on ideology did not in 2008…[they] left us incapacitated in the face of crisis.
3. Conservatives have always seen seen [Keynesian economics] as the thin edge of the wedge: concede that the government can play a useful role in fighting slumps, and the next thing you know we’ll be living under socialism.
4. [Krugman paraphrasing Kalecki] Every widening of state activity is looked upon by business with suspicion, but the creation of employment by government spending has a special aspect which makes the opposition particularly intense. Under a laissez-faire system the level of employment to a great extend on the so-called state of confidence….This gives capitalists a powerful indirect control over government policy: everything which may shake the state of confidence must be avoided because it would cause an economic crisis.
All of these are true to an extent. Two are related to the features of a particular policy position that conservatives don’t like (countercyclical spending) and their cost will dissipate if the economy improves. Isn’t it the case that most proponents and beneficiaries of financial liberalization are Democrats? (Wall Street mostly supported Obama in 08 and barely supported Romney in 12 despite Romney giving the house away). In any case, while KW aren’t big on solutions they certainly have a strong grasp of the problem.
Take a Stand: Sit In by Phillip Dray
As the railroad strike of 1877 had led eventually to expanded workers’ rights, so the Greensboro sit-in of February 1, 1960, helped pave the way for passage of the Civil Rights Act of 1964 and the Voting Rights Act of 1965. Both movements remind us that not all successful protests are explicit in their message and purpose; they rely instead on the participants’ intuitive sense of justice. 
I’m not the only author to have taken note of this passage as particularly important, but I am the only author who found the passage significant and did not start ranting about so-called “natural law.” Chronicling the (hitherto unknown-to-me) history of the Great Upheaval, Dray does a great job relating some important moments in left protest history to the OWS history. This is actually an extremely important essay and I haven’t given it the time it deserves. If you read three essays in this book, include this in your list.
Inequality and Intemperate Policy by Raghuram Rajan (no URL, you’ll have to buy the book)
Rajan’s basic ideas are the following: inequality has gotten out of control:
Deepening income inequality has been brought to the forefront of discussion in the United States. The discussion tends to center on the Croesus-like income of John Paulson, the hedge fund manager who made a killing in 2008 betting on a financial collapse and netted over $3 billion, about seventy-five-thousand times the average household income. Yet a more worrying, everyday phenomenon that confronts most Americans is the disparity in income growth rates between a manager at the local supermarket and the factory worker or office assistant. Since the 1970s, the wages of the former, typically workers at the ninetieth percentile of the wage distribution in the United States, have grown much faster than the wages of the latter, the typical median worker.
But American political ideologies typically rule out the most direct responses to inequality (i.e. redistribution). The result is a series of stop-gap measures that do long-run damage to the economy (as defined by sustainable and rising income levels and full employment), but temporarily boost the consumption level of lower classes:
It is not surprising then, that a policy response to rising inequality in the United States in the 1990s and 200s – whether carefully planned or chosen as the path of least resistance – was to encourage lending to households, especially but not exclusively low-income ones, with the government push given to housing credit just the most egregious example. The benefit – higher consumption – was immediate, whereas paying the inevitable bill could be postponed into the future. Indeed, consumption inequality did not grow nearly as much as income inequality before the crisis. The difference was bridged by debt. Cynical as it may seem, easy credit has been used as a palliative success administrations that been unable to address the deeper anxieties of the middle class directly. As I argue in my book Fault Lines, “Let them eat credit” could well summarize the mantra of the political establishment in the go-go years before the crisis.
Why should you believe Raghuram Rajan? Because he’s one of the few guys who called the first crisis and tried to warn the Fed.
A solid essay providing a more direct link between income inequality and bad policy than KW do.
The 5 percent’s [consisting of the seven million Americans who, in 1934, were sixty-five and older] protests coalesced as the Townsend movement, launched by a sinewy midwestern farmer’s son and farm laborer turned California physician. Francis Townsend was a World War I veteran who had served in the Army Medical Corps. He had an ambitious, and impractical plan for a federal pension program. Although during its heyday in the 1930s the movement failed to win enactment of its [editor's note: insane] program, it did play a critical role in contemporary politics. Before Townsend, America understood the destitution of its older generations only in abstract terms; Townsend’s movement made it tangible. “It is no small achievment to have opened the eyes of even a few million Americans to these facts,” Bruce Bliven, editor of the New Republic observed. “If the Townsend Plan were to die tomorrow and be completely forgotten as miniature golf, mah-jongg, or flinch [editor's note: everything old is new again], it would still have left some sedimented flood marks on the national consciousness.” Indeed, the Townsend movement became the catalyst for the New Deal’s signal achievement, the old-age program of Social Security. The history of its rise offers a lesson for the Occupy movement in how to convert grassroots enthusiasm into a potent political force – and a warning about the limitations of even a nationwide movement.
Does the author live up to the promises of this paragraph? Is the whole essay worth reading? Does FDR give in to the people’s demands and pass Social Security?!
Yes to all. Read it.
This is a great essay. I’m going to outsource the review and analysis to:
because it basically sums up my thoughts. You all, go read it.
If you know nothing about Wall Street, then the essay is worth reading, otherwise skip it. There are two common ways to write a bad article in financial journalism. First, you can try to explain tiny index price movements via news articles from that day/week/month. “Shares in the S&P moved up on good news in Taiwan today,” that kind of nonsense. While the news and price movements might be worth knowing for their own sake, these articles are usually worthless because no journalist really knows who traded and why (theorists might point out even if the journalists did know who traded to generate the movement and why, it’s not clear these articles would add value – theorists are correct).
The other way, the Cassidy! way is to ask some subgroup of American finance what they think about other subgroups in finance. High frequency traders think iBankers are dumb and overpaid, but HFT on the other hand, provides an extremely valuable service – keeping ETFs cheap, providing liquidity and keeping shares the right level. iBankers think prop-traders add no value, but that without iBanking M&A services, American manufacturing/farmers/whatever would cease functioning. Low speed prop-traders think that HFT just extracts cash from dumb money, but prop-traders are reddest blooded American capitalists, taking the right risks and bringing knowledge into the markets. Insurance hates hedge funds, hedge funds hate the bulge bracket, the bulge bracket hates the ratings agencies, who hate insurance and on and on.
You can spit out dozens of articles about these catty and tedious rivalries (invariably claiming that financial sector X, rivals for institutional cash with Y, “adds no value”) and learn nothing about finance. Cassidy writes the article taking the iBankers side and surprises no one (this was originally published as an article in The New Yorker).
Ms. McLean holds immense talent. It was always pretty obvious that the bottom twenty-percent, i.e. the vast majority of subprime loan recipients, who are generally poor at planning, were using mortgages to get quick cash rather than buy houses. Regulators and high finance, after resisting for a good twenty years, gave in for reasons explained in Rajan’s essay.
A legit essay by a future Nobelist in Econ. Read it.
Anthro-hack Appadurai writes:
I first came to this country in 1967. I have been either a crypto-anthropologist or professional anthropologist for most of the intervening years. Still, because I came here with an interest in India and took the path of least resistance in choosing to retain India as my principal ethnographic referent, I have always been reluctant to offer opinions about life in these United States.
His instincts were correct. The essay reads like an old man complaining about how bad the weather is these days. Skip it.
Editor Byrne has amazing powers of persuasion or, a lot of authors have had some essays in the desk-drawer they were waiting for an opportunity to publish. In any case, Rogoff and Reinhart (RR hereafter) have summed up a couple hundred studies and two of their books in a single executive summary and given it to whoever buys The Occupy Handbook. Value. RR are Republicans and the essay appears to be written in good faith (unlike some people *cough* Tyler Cowen and Veronique de Rugy *cough*). RR do a great job discovering and presenting stylized facts about financial crises past and present. What to expect next? A couple national defaults and maybe a hyperinflation or two.
Shiller has always been ahead of the curve. In 1981, he wrote a cornerstone paper in behavioral finance at a time when the field was in its embryonic stages. In the early 1990s, he noticed insufficient attention was paid to real estate values, despite their overwhelming importance to personal wealth levels; this led him to create, along with Karl E. Case, the Case-Shiller index – now the Case-Shiller Home Prices Indices. In March 2000**, Shiller published Irrational Exuberance, arguing that U.S. stocks were substantially overvalued and due for a tumble. [Editor's note: what Brandon Adams fails to mention, but what's surely relevant is that Shiller also called the subprime bubble and re-released Irrational Exuberance in 2005 to sound the alarms a full three years before The Subprime Solution]. In 2008, he published The Subprime Solution, which detailed the origins of the housing crisis and suggested innovative policy responses for dealing with the fallout. These days, one of his primary interests is neuroeconomics, a field that relates economic decision-making to brain function as measured by fMRIs.
Shiller is basically a champ and you should listen to him.
Shiller was disappointed but not surprised when governments bailed out banks in extreme fashion while leaving the contracts between banks and homeowners unchanged. He said, of Hank Paulson, “As Treasury secretary, he presented himself in a very sober and collected way…he did some bailouts that benefited Goldman Sachs, among others. And I can imagine that they were well-meaning, but I don’t know that they were totally well-meaning, because the sense of self-interest is hard to clean out of your mind.”
Shiller understates everything.
Verdict: Read it.
And so, we close our discussion of part I. Moving on to part II:
In Ms. Byrne’s own words:
Part 2, “Where We Are Now,” which covers the present, both in the United States and abroad, opens with a piece by the anthropologist David Graeber. The world of Madison Avenue is far from the beliefs of Graeber, an anarchist, but it’s Graeber who arguably (he says he didn’t do it alone) came up with the phrase “We Are the 99 percent.” As Bloomberg Businessweek pointed out in October 2011, during month two of the Occupy encampments that Graeber helped initiate and three moths after the publication of his Debt: The First 5,000 Years, “David Graeber likes to say that he had three goals for the year: promote his book, learn to drive, and launch a worldwide revolution. The first is going well, the second has proven challenging and the third is looking up.” Graeber’s counterpart in Chile can loosely be said to be Camila Vallejo, the college undergraduate, pictured on page 219, who, at twenty-three, brought the country to a standstill. The novelist and playwright Ariel Dorfman writes about her and about his own self-imposed exile from Chile, and his piece is followed by an entirely different, more quantitative treatment of the subject. This part of the book also covers the indignados in Spain, who before Occupy began, “occupied” the public squares of Madrid and other cities – using, as the basis for their claim on the parks could be legally be slept in, a thirteenth-century right granted to shepherds who moved, and still move, their flocks annually.
In other words, we’re in occupy is the hero we deserve, but not the hero we need territory here.
*Addendum 1: Some have suggested that it’s not the wealth inequality that ought to be reduced, but the democratic elements of our system. California’s terrible decision-making resulting from its experiments with direct democracy notwithstanding, I would like to stay in the realm of the sane.
**Addendum 2: Yes, Shiller managed to get the book published the week before the crash. Talk about market timing.
This is a review of Part I of The Occupy Handbook. Part I consists of twelve pieces ranging in quality from excellent to awful. But enough from me, in Janet Byrne’s own words:
Part 1, “How We Got Here,” takes a look at events that may be considered precursors of OWS: the stories of a brakeman in 1877 who went up against the railroads; of the four men from an all-black college in North Carolina who staged the first lunch counter sit-in of the 1960s; of the out-of-work doctor whose nationwide, bizarrely personal Townsend Club movement led to the passage of Social Security. We go back to the 1930s and the New Deal and, in Carmen M. Reinhart and Kenneth S. Rogoff‘s “nutshell” version of their book This Time Is Different: Eight Centuries of Financial Folly, even further.
Ms. Byrne did a bang-up job getting one Nobel Prize Winner in economics (Paul Krugman), two future Economics Nobel Prize winners (Robert Shiller, Daron Acemoglu) and two maybes (sorry Raghuram Rajan and Kenneth Rogoff) to contribute excellent essays to this section alone. Powerhouse financial journalists Gillian Tett, Michael Hilztik, John Cassidy, Bethany McLean and the prolific Michael Lewis all drop important and poignant pieces into this section. Arrogant yet angry anthropologist Arjun Appadurai writes one of the worst essays I’ve ever had the misfortune of reading and the ubiquitous Brandon Adams make his first of many mediocre appearances interviewing Robert Shiller. Clocking in at 135 pages, this is the shortest section of the book yet varies the most in quality. You can skip Professor Appadurai and Cassidy’s essays, but the rest are worth reading.
Advice from the 1 Percent: Lever Up, Drop Out by Michael Lewis
Framed as a strategy memo circulated among one-percenters, Lewis’ satirical piece written after the clearing of Zucotti Park begins with a bang.
The rabble has been driven from the public parks. Our adversaries, now defined by the freaks and criminals among them, have demonstrated only that they have no idea what they are doing. They have failed to identify a single achievable goal.
Indeed, the absurd fixation on holding Zuccotti Park and refusal to issue demands because doing so “would validate the system” crippled Occupy Wall Street (OWS). So far OWS has had a single, but massive success: it shifted the conversation back to the United States’ out of control wealth inequality managed to do so in time for the election, sealing the deal on Romney. In this manner, OWS functioned as a holding action by the 99% in the interests of the 99%.
We have identified two looming threats: the first is the shifting relationship between ambitious young people and money. There’s a reason the Lower 99 currently lack leadership: anyone with the ability to organize large numbers of unsuccessful people has been diverted into Wall Street jobs, mainly in the analyst programs at Morgan Stanley and Goldman Sachs. Those jobs no longer exist, at least not in the quantities sufficient to distract an entire generation from examining the meaning of their lives. Our Wall Street friends, wounded and weakened, can no longer pick up the tab for sucking the idealism out of America’s youth.We on the committee are resigned to all elite universities becoming breeding grounds for insurrection, with the possible exception of Princeton.
Michael Lewis speaks from experience; he is a Princeton alum and a 1 percenter himself. More than that however, he is also a Wall Street alum from Salomon Brothers during the 1980s snafu and wrote about it in the original guide to Wall Street, Liar’s Poker. Perhaps because of his atypicality (and dash of solipsism), he does not have a strong handle on human(s) nature(s). By the time of his next column in Bloomberg, protests had broken out at Princeton.
Ultimately ineffectual, but still better than…
Lewis was right in the end, but more than anyone sympathetic to the movement might like. OccupyPrinceton now consists of only two bloggers, one of which has graduated and deleted all his work from an already quiet site and another who is a senior this year. OccupyHarvard contains a single poorly written essay on the front page. Although OccupyNewHaven outlasted the original Occupation, Occupy Yale no longer exists. Occupy Dartmouth hasn’t been active for over a year, although it has a rather pathetic Twitter feed here. Occupy Cornell, Brown, Caltech, MIT and Columbia don’t exist, but some have active facebook pages. Occupy Michigan State, Rutgers and NYU appear to have had active branches as recently as eight months ago, but have gone silent since. Functionally, Occupy Berkeley and its equivalents at UCBerkeley predate the Occupy movement and continue but Occupy Stanford hasn’t been active for over a year. Anecdotally, I recall my friends expressing some skepticism that any cells of the Occupy movement still existed.
As for Lewis’ other points, I’m extremely skeptical about “examined lives” being undermined by Wall Street. As someone who started in math and slowly worked his way into finance, I can safely say that I’ve been excited by many of the computing, economic, and theoretical problems quants face in their day-to-day work and I’m typical. I, and everyone who has lived long-enough, knows a handful of geniuses who have thought long and hard about the kinds of lives they want to lead and realized that A. there is no point to life unless you make one and B. making money is as good a point as any. I know one individual, after working as a professional chemist prior to college,who decided to in his words, “fuck it and be an iBanker.” He’s an associate at DB. At elite schools, my friend’s decision is the rule rather than the exception, roughly half of Harvard will take jobs in finance and consulting (for finance) this year. Another friend, an exception, quit a promising career in operations research to travel the world as a pick-up artist. Could one really say that either the operations researcher or the chemist failed to examine their lives or that with further examinations they would have come up with something more “meaningful”?
One of the social hacks to give lie to Lewis-style idealism-emerging-from-an attempt-to-examine-ones-life is to ask freshpeople at Ivy League schools what they’d like to do when they graduate and observe their choices four years later. The optimal solution for a sociopath just admitted to a top school might be to claim they’d like to do something in the peace corp, science or volunteering for the social status. Then go on to work in academia, finance, law or tech or marriage and household formation with someone who works in the former. This path is functionally similar to what many “average” elite college students will do, sociopathic or not. Lewis appears to be sincere in his misunderstanding of human(s) nature(s). In another book he reveals that he was surprised at the reaction to Liar’s Poker – most students who had read the book “treated it as a how-to manual” and cynically asked him for tips on how to land analyst jobs in the bulge bracket. It’s true that there might be some things money can’t buy, but an immensely pleasurable, meaningful life do not seem to be one of them. Today for the vast majority of humans in the Western world, expectations of sufficient levels of cold hard cash are necessary conditions for happiness.
In short and contra Lewis, little has changed. As of this moment, Occupy has proven so harmless to existing institutions that during her opening address Princeton University’s president Shirley Tilghman called on the freshmen in the class of 2016 to “Occupy” Princeton. No freshpeople have taken up her injunction. (Most?) parts of Occupy’s failure to make a lasting impact on college campuses appear to be structural; Occupy might not have succeeded even with better strategy. As the Ivy League became more and more meritocratic and better at discovering talent, many of the brilliant minds that would have fallen into the 99% and become its most effective advocates have been extracted and reached their so-called career potential, typically defined by income or status level. More meritocratic systems undermine instability by making the most talented individuals part of the class-to-be-overthrown, rather than the over throwers of that system. In an even somewhat meritocratic system, minor injustices can be tolerated: Asians and poor rural whites are classes where there is obvious evidence of discrimination relative to “merit and the decision to apply” in elite gatekeeper college admissions (and thus, life outcomes generally) and neither group expresses revolutionary sentiment on a system-threatening scale, even as the latter group’s life expectancy has begun to decline from its already low levels. In the contemporary United States it appears that even as people’s expectations of material security evaporate, the mere possibility of wealth bolsters and helps to secure inequities in existing institutions.
Hence our committee’s conclusion: we must be able to quit American society altogether, and they must know it.The modern Greeks offer the example in the world today that is, the committee has determined, best in class. Ordinary Greeks seldom harass their rich, for the simple reason that they have no idea where to find them. To a member of the Greek Lower 99 a Greek Upper One is as good as invisible.
He pays no taxes, lives no place and bears no relationship to his fellow citizens. As the public expects nothing of him, he always meets, and sometimes even exceeds, their expectations. As a result, the chief concern of the ordinary Greek about the rich Greek is that he will cease to pay the occasional visit.
Michael Lewis is a wise man.
I can recall a conversation with one of my Professors; an expert on Democratic Kampuchea (American: Khmer Rouge), she explained that for a long time the identity of the oligarchy ruling the country was kept secret from its citizens. She identified this obvious subversion of republican principles (how can you have control over your future when you don’t even know who runs your region?) as a weakness of the regime. Au contraire, I suggested, once you realize your masters are not gods, but merely humans with human characteristics, that they: eat, sleep, think, dream, have sex, recreate, poop and die – all their mystique, their claims to superior knowledge divine or earthly are instantly undermined. De facto segregation has made upper classes in the nation more secure by allowing them to hide their day-to-day opulence from people who have lost their homes, job and medical care because of that opulence. Neuroscience will eventually reveal that being mysterious makes you appear more sexy, socially dominant, and powerful, thus making your claims to power and dominance more secure (Kautsky et. al. 2018).*
If the majority of Americans manage to recognize that our two tiered legal system has created a class whose actual claim to the US immense wealth stems from, for the most part, a toxic combination of Congressional pork, regulatory and enforcement agency capture and inheritance rather than merit, there will be hell to pay. Meanwhile, resentment continues to grow. Even on the extreme right one can now regularly read things like:
Now, I think I’d be downright happy to vote for the first politician to run on a policy of sending killer drones after every single banker who has received a post-2007 bonus from a bank that received bailout money. And I’m a freaking libertarian; imagine how those who support bombing Iraqi children because they hate us for our freedoms are going to react once they finally begin to grasp how badly they’ve been screwed over by the bankers. The irony is that a banker-assassination policy would be entirely constitutional according to the current administration; it is very easy to prove that the bankers are much more serious enemies of the state than al Qaeda. They’ve certainly done considerably more damage.
The rest of part I reviewed tomorrow. Hang in there people.
Addendum 1: If your comment amounts to something like “the Nobel Prize in Economics is actually called the The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel” and thus “not a real Nobel Prize” you are correct, yet I will still delete your comment and ban your IP.
*Addendum 2: More on this will come when we talk about the Saez-Delong discussion in part III.
It has become a truism that as the amount of news and information generated per moment continues to grow, so too does the value of aggregation, curation and editing. A point less commonly made is that these aggregators are often limited by time in the sense, whatever the topic, the value of news for the median reader decays extremely rapidly. Some extremists even claim that it’s useless to read the newspaper, so rapidly do things change. The forty eight hours news cycle, in addition to destroying context, has made it impossible for both reporters and viewers to learn from history. See “Is News Memoryless?” (Kautsky et. al. 2014).
A more promising approach to news aggregation (for those who read the news with purpose) is to organize pieces by subject and publish those articles in a book. Paul Krugman did this for himself in The Great Unraveling, bundling selected columns from 1999 to 2003 into a single book, with chapters organized by subject and proceeding chronologically. While the rise and rise of Krumgan’s real-time blogging virtually guarantees he’ll never make such an effort again, a more recent try came from uber-journalist Michael Lewis in Panic!: The Story of Modern Financial Insanity. Financial journalists’ myopic perspective at any given point in time make financial column compilations of years past particularly fun(ny) to read.
Nothing is staler than yesterday’s Wall Street journal (financial news spoils quickly) and reading WSJ or Barron’s pieces from 10 to 20 years ago is just painful.
The title PANIC: The story of modern financial insanity led me to believe the book was about the current crises. The book does say, in very, very fine print “Edited by” Michael Lewis.
-Fritz Krieger, Amazon Reviewer and chief scientist at ISIS
Unfortunately, some philistines became angry in 2008 when they insta-purchased a book called Panic! by Michael Lewis and to their horror, discovered that it contained information about prior financial crises, the nerve of the author to bring us historical perspective, even worse…some of that perspective relating to nations other than the ole’ US of A.
As the more alert readers have noted, almost nothing in the book concerns the 2008 Credit Meltdown, but instead this is merely a collection of news clippings and old magazine articles about past financial crises. You might as well visit a chiropodist’s office and offer them a couple of bucks for their old magazines.
Granted, the articles are by some of today’s finest and most celebrated journalists (although some of the news clippings are unsigned), but do you really want to read more about the 1987 crash or the 1997 collapse of the Thai Baht?
Perhaps you do, but whoever threw this book together wasn’t very particular about the articles chosen. Page 193 reprints an article from “Barron’s” of March, 2000 in which Jack Willoughby presents a long list of Internet companies that he considered likely to run out of cash by 2001. “Some can raise more funds through stock and bond offerings,” he warns. “Others will be forced to go out of business. It’s Darwinian capitalism at work.” True, many of the companies he listed did go belly-up, but on his list of the doomed are
- Someone named Keith Otis Edwards
Perhaps because I was abroad for both the initial disaster and the entire Occupation of Zucotti Park, both events have held my attention. So it is with a mixture of hope and apprehension that I picked up Princeton alum Janet Byrne’s The Occupy Handbook from the public library. The Occupy Handbook is a collection of essays written from 2010 to 2011 by an assortment of first and second-rate authors that attempt to: show what Wall Street does and what it did that led to the most recent crash, explain why our policy apparatus was paralyzed in response to the crash, describe how OWS arose and how it compared with concurrent international movements and prior social movements in the US, and perhaps most importantly, provide policy solutions for the 99% in finance and economics. Janet Byrne begins with a heartfelt introduction:
One fall morning I stood outside the Princeton Club, on West 43rd Street in Manhattan. Occupy Wall Street, which I had visited several times as a sympathetic outsider, has passed its one month anniversary, and I thought the movement might be usefully analyzed by economists and financial writers whose pieces I would commission and assemble into a book that was analytical and- this was what really interested me – prescriptive. I’d been invited to breakfast to talk about the idea with a Princeton Club member and had arrived early out of nervousness.
It seemed a strange place to be discussing the book. I tried the idea out on a young bellhop…
And so it continues. The book is divided into three parts. Part I, broadly speaking, tries to give some economic background on the crash and the ensuing political instability that the crash engendered, up to the first occupation of Zuccotti Park. Part II, broadly speaking, describes the events in Zuccotti Park and around the world as they were in those critical months of fall 2011. Part III, broadly speaking, prescribes solutions to current depression. I say broadly speaking because, as you will see, several essays appear to be in the wrong part and in the worst cases, in the wrong book.
Today we have a guest post by Dan Tedder. Actually it’s a letter he sent me after listening to my EconTalk podcast with Russ Roberts which he kindly agreed to let me post. Dan’s bio is below the letter.
I think this letter is profound (although I don’t completely agree about the Markov stuff), because it points out something that I see as a commonly held blindspot by people who think about regulation and modeling. Namely, that any systemic risk model of the financial system that doesn’t take account of lying isn’t worth the memory it takes up on a computer.
That brings us to the following question: can we incorporate lies into models? Can we anticipate and model fraud itself, in addition to the underlying system? Or do we give up on models and rely on skeptical people to ferret out lies? Or possibly some hybrid?
I really liked your interview, and I think you are right on in pointing to a lack of ethics. I would say further that what we need is rigorous honesty in all aspects of the financial system. I agree with your objections to conflicts of interest. Allowing such conflicts to exist demonstrates a lack of rigorous honesty on the part of the participants. In my opinion a lot of bankers and folks on Wall Street should be headed to jail. The inability of the SEC to file charges and prosecute them further demonstrates the lack of honesty and character in the financial system and the government. So why am I telling you things you already know?
My father was a successful businessman. Years ago I was invited to invest in an ice cream franchise by another faculty member. I spent several days developing models using Excel. Finally, I decided to talk to my father. I called him and he immediately asked me to tell him about the present owners and their accounting. I told him the husband was in jail and accounting was five years behind. Further, his wife was probably taking money out of the till.
He stopped me right there, and pointed out that I needed to look no further. The present owners were not honest and therefore the opportunity was too risky. No telling what liabilities they had incurred and passed on to the franchise. I felt like an idiot. My modeling was a total waste of time because it assumed the present owners were honest. In fact, they were dishonest and no defensible model could be constructed based upon their accounting or lack thereof.
I think the complexity of our present financial problems will largely disappear if we try to focus more on the obvious. First, it is obvious that bankers, accountants, modelers, and other participants must be rigorously honest. Second, George Box, a statistician at the University of Wisconsin, studied the stock market and found through time series analysis that stock market prices are Markov processes. So in modeling stock prices we need only worry about today and tomorrow. The best indicator of tomorrow’s price is today’s price. The best indicator of what will happen tomorrow is where we are today, and probably our models of the larger process should also be Markovian. Third, apply the KISS method, “Keep it simple, stupid.” Instead of worrying about the mathematical model, worry about the honesty of the participants. The financial system cannot tolerate dishonesty. Making sure the bankers are honest will go a long way toward balancing the books.
Daniel William Tedder is Associate Professor Emeritus, School of Chemical and Biomolecular Engineering, and Adjunct Professor, School of Mechanical Engineering, both at the Georgia Institute of Technology. He attended Kenyon College and received a Bachelor’s in Chemical Engineering at the Georgia Institute of Technology. He obtained MS and PhD degrees in Chemical Engineering at the University of Wisconsin, Madison. He was a staff engineer in the Chemical Technology Division of the Oak Ridge National Laboratory before joining the faculty at Georgia Tech. He served as an independent technical reviewer at the Nuclear Regulatory Commission after retiring from Georgia Tech. He has numerous publications, has edited 11 books, and has authored one book, Preliminary Chemical Process Design and Economics, which is available from Amazon. He is an expert in chemical separations and in actinide partitioning, an advanced method for radioactive waste management.
This is a guest post by Anchard Scott, and is cross-posted at aluation.
Nate Silver’s high-profile success in predicting the 2012 election has triggered a wave of articles on the victory of data analysts over pundits. Cathy has already taken on the troubling aspects of Silver’s celebrity, so I’d like to focus instead on the larger movement toward big data as a replacement for traditional punditry. It’s an intriguing idea, especially given the sad state of political punditry. But rather than making things better, it’s entirely possible that the methods these articles propose could make things even worse.
There’s no question that we need better media, especially when it comes to politics. If we take the media’s role to be making sure that voters are informed, then they’re clearly doing a poor job of it. And one of the biggest problems is that political coverage has largely abandoned any pretense of getting to the truth in favor of “he said/she said” and endless discussion of the horse race, with the pundits being the worst offenders. Instead of “Will this be good for citizens?” we get “Will this be good for the Democrats/Republicans in the next poll?”
This is where the big data proposals enter the picture, and where I think they go wrong. Rather than addressing the accuracy or usefulness of the information being provided to us as voters, or working to shift the dialogue away from projections of how a given policy will play in Iowa, the proposals for big data revolve around replacing pundits’ subjective claims about shifting perceptions with more objective analysis of shifting perceptions.
For example, this piece from the Awl convincingly describes the potential for the rapid analysis of thousands or even millions of articles as a basis for more effective media criticism, and as a replacement for punditry by “anecdata.” A more recent post from the Nieman Journalism Lab at least acknowledges some methodological weaknesses even as it makes a very strong case for large-scale sentiment analysis as a way of “getting beyond pundits claiming to speak for others.” By aggregating and analyzing the flow of opinion across social media, the piece argues, journalism can deliver a more finely tuned representation of public opinion.
It’s true that perceptions in a democracy matter a lot. But it’s also true that getting a more accurate read on perceptions is not going to move us toward more informative coverage, let alone toward better politics. Worse still, these proposals ignore the fact that public perception is heavily affected by media coverage, which implies that pulling public perception more explicitly into the coverage itself will just introduce reflexivity rather than clarification.
In other words, we could end up with a conversation about the conversation about the conversation about politics. Is that really what we need?
As I see it, there are two precedents here, neither of which is encouraging. Financial markets have been treated as a source of perfect information for a very long time. The most famous justification for this was Hayek’s claim that the price system inherent in markets acts as “a system of telecommunications” that condenses the most relevant information from millions of agents into a single indicator. Even if we accept this as being true when Hayek wrote his essay in 1945 (which we shouldn’t), it’s certainly not true now. That’s in part because financial markets have attracted more and more speculators who base their decisions on their expectations of what others will do rather than introducing new information. So rather than informational efficiency, we get informational cascades, herding and periodic crashes.
The other example is consumer markets, which have the most experience with sentiment analysis for obvious reasons. In fact, this analysis is only the latest service offered by an enormous industry of advertising, PR and the like that exists solely to engineer and harness these waves of sentiment and perception. Their success proves that perception doesn’t exist in some objective void, but is closely shaped by the process of thinking about and consuming the very products it’s attached to. Or to be wonky about it, preferences can be more endogenous than exogenous in a consumer society.
Which is ultimately my point. If we want to treat the information provided by the media – the primary source of information for our democracy – as a more and more finely tuned consumer good whose value is determined by how popular it is, then this sort of analysis is emphatically the way to go. But we should not be surprised by the consequences if we do.
This is a guest post. Crossposted at aluation.
I’m a bit late to this conversation, but I was reminded by Cathy’s post over the weekend on open data – which most certainly is not a panacea – of my own experience a couple of years ago with a group that is trying hard to do the right thing with open data.
The UN funded a new initiative in 2009 called Global Pulse, with a mandate to explore ways of using Big Data for the rapid identification of emerging crises as well as for crafting more effective development policy in general. Their working hypothesis at its most simple is that the digital traces individuals leave in their electronic life – whether through purchases, mobile phone activity, social media or other sources – can reveal emergent patterns that can help target policy responses. The group’s website is worth a visit for anyone interested in non-commercial applications of data science – they are absolutely the good guys here, doing the kind of work that embodies the social welfare promise of Big Data.
With that said, I think some observations about their experience in developing their research projects may shed some light on one of Cathy’s two main points from her post:
- How “open” is open data when there are significant differences in both the ability to access the data, and more important, in the ability to analyze it?
- How can we build in appropriate safeguards rather than just focusing on the benefits and doing general hand-waving about the risks?
I’ll focus on Cathy’s first question here since the second gets into areas beyond my pay grade.
The Global Pulse approach to both sourcing and data analytics has been to rely heavily on partnerships with academia and the private sector. To Cathy’s point above, this is true of both closed data projects (such as those that rely on mobile phone data) as well as open data projects (those that rely on blog posts, news sites and other sources). To take one example, the group partnered with two firms in Cambridge to build a real-time indicator of bread prices in Latin America in order. The data in this case was open, while the web-scraping analytics (generally using grocery-story website prices) were developed and controlled by the vendors. As someone who is very interested in food prices, I found their work fascinating. But I also found it unsettling that the only way to make sense of this open data – to turn it into information, in other words – was through the good will of a private company.
The same pattern of open data and closed analytics characterized another project, which tracked Twitter in Indonesia for signals of social distress around food, fuel prices, health and other issues. The project used publicly available Twitter data, so it was open to that extent, though the sheer volume of data and the analytical challenges of teasing meaningful patterns out of it called for a powerful engine. As we all know, web-based consumer analytics are far ahead of the rest of the world in terms of this kind of work. And that was precisely where Global Pulse rationally turned – to a company that has generally focused on analyzing social media on behalf of advertisers.
Does this make them evil? Of course not – as I said above, Global Pulse are the good guys here. My point is not about the nature of their work but about its fragility.
The group’s Director framed their approach this way in a recent blog post:
We are asking companies to consider a new kind of CSR – call it “data philanthropy.” Join us in our efforts by making anonymized data sets available for analysis, by underwriting technology and research projects, or by funding our ongoing efforts in Pulse Labs. The same technologies, tools and analysis that power companies’ efforts to refine the products they sell, could also help make sure their customers are continuing to improve their social and economic wellbeing. We are asking governments to support our efforts because data analytics can help the United Nations become more agile in understanding the needs of and supporting the most vulnerable populations around the globe, which in terms boosts the global economy, benefiting people everywhere.
What happens when corporate donors are no longer willing to be data philanthropists? And a question for Cathy – how can we ensure that these new Data Science programs like the one at Columbia don’t end up just feeding people into consumer analytics firms, in the same way that math and econ programs ended up feeding people into Wall Street jobs?
I don’t have any answers here, and would be skeptical of anyone who claimed to. But the answers to these questions will likely define a lot of the gap between the promise of open data and whatever it ends up becoming.
This is a guest post by David Carlton, who first met Cathy at the Hampshire College Summer Studies in Mathematics when they were high school students. He was trained as a mathematician, but left academia in 2003 and has been working as a programmer and manager in the San Francisco Bay Area since then. This is crossposted from his blog malvasia bianca.
One thing I’ve been wondering recently: to what extent do I like the influence of Silicon Valley venture capital firms on the local startup culture?
There are certain ways in which their influence is good, no question: it’s great that there’s money available for people to try new things, it’s great that it means that there are exciting small companies around, and I’m fairly sure that VCs have valuable specialized knowledge that I don’t have and could benefit from. So that’s all to the good.
However, it is not the case that VCs’ interests and my interests are aligned.
Don’t get me wrong: if I’m working at a VC-funded company, then those VCs and I both want the company to succeed, and that’s great. But beyond that, our interests diverge significantly.
Their goal is to make money in a five-yearish horizon through a portfolio approach, starting from a significant pool of cash. The portfolio is a particularly important factor here: no matter what, most startups are going to fail; so, rather than try to get as many as possible to be a moderate success, it’s a perfectly reasonable thing to do to do what you can to get a few companies in your portfolio to be a major success.
And, while I’d be perfectly happy to be working at a company that’s a major success, it’s much less clear to me that I want to do that at the cost of reducing the chances that the company is a moderate success. Because while the company crashing and burning is potentially a problem at a financial level, it’s also potentially much more of a problem at a personal level.
For example, I believe in the concept of a “sustainable pace”, that on average, for most people, working too hard eventually produces less output. But if the unsustainable pace on average masks nine disasters and one remarkable success, then that may be just fine for a portfolio approach, despite what it does to the people who go through the nine disasters. (This is probably where some of the VC-funded startup youth fetishism comes in, too.)
Time horizons also play into that issue, as well: if you can keep up an unsustainable pace long enough to look good at a payoff threshold, then that could be good enough. (Possibly burning out many people along the way while hiring enough new faces to replace them and keep the company looking healthy from the outside.)
I think I saw a version of this at Playdom: the company spent the year before it got bought going on a hiring spree, buying companies that, even at the time, seemed like they made no sense. (Don’t get me wrong, some of the purchase made a lot of sense, but there were certainly many specific purchases that I raised my eyebrows at.) As far as I can tell, this was a ploy to make Playdom look good to potential purchasers by increasing our headcount, our number of games and players, and our geographic reach; but we shut down a bunch of those games soon after Disney bought us, and I didn’t see anything concrete come out of many of those studios.
The amount of money VCs are investing also plays into this. Even when funding small companies, they don’t want those companies to stay small: they want those companies to grow and grow, to justify larger and larger investments and still larger payouts.
So, if you want to work at a company that is small and focused, VC funded companies probably aren’t the best place to go (though there are exceptions: if your small and focused company is producing something that appeals to tens or hundreds of millions of people, then you can be the next Instagram).
That’s how VCs are looking for aspects of companies that I’m not; but I’m also looking for aspects of companies that VCs don’t have as strong a reason to be attracted to.
I’m always trying to learn something, and typically have specific goals along those lines that I’m looking for at companies; VCs have no reason to care about my personal development.
More broadly, I’ve been participating in industry discussions about how to develop software, and trying to figure out which of those ideas seem to work well for me; I’m sure noises about some of that filters up to the VC level, but I’m also sure that most VCs don’t have any real idea what the word ‘agile’ means. Not that they should; this is a difference, not a judgment.
I also want to work at a company that I feel is doing the right thing: e.g. on a basic level it should treat people of different genders, ethnicities, ages, class backgrounds, sexualities, relationship status, etc. fairly.
Silicon Valley actually strikes me as astonishingly open to different nationalities (most of the founders of most of the companies that I’ve worked at haven’t been American, along with a noticeable fraction of the employees); on many of the other dimensions, though, Silicon Valley isn’t nearly as open.
Here’s a nice takedown of some of the bullshit around the idea of a “meritocracy”, and VC firms themselves apparently don’t do so well themselves in this regard. I hear rumors about VC “pattern matching”; if this means that VCs are happy to insert ignorant sexist assholes into the management ranks of their portfolio companies because those execs fit some sort of pattern that the VCs have seen, that is not good.
What’s scary, too, is how hard it can be to tell this sort of thing in advance: when joining a company, you never know how it is going to change over the next months or years.
For example, when I did my last job search, I talked to a few Facebook game companies; some of them were steeped in testosterone, but one, Casual Collective, seemed like a pleasant enough place. They’d produced one game I respected, they woman I interviewed with seemed sharp, and their name seemed to signal that they weren’t going to go too far down the “core gamer” path.
I didn’t interview further with them because of the technologies they were using and because of their location, but if that job search had gone slightly differently I can easily imagine myself having been interested in them.
A year later, they’d changed their name to Kixeye, turned themselves into a maker of “hardcore” games, and released this recruiting video that positioned them squarely within the brogrammer manchild tradition:
And I saw more news coverage (and for that matter people in person) speaking favorably of that video than not: it’s not just one company, that’s a lamentably strong aspect of the culture around here.
There’s way too much adolescent male status jockeying going on, way too little quiet listening; and I will be perfectly happy never to see another foam bat or nerf gun in my life.
Though Kixeye does seem to be particularly bad: rather than quietly shunning people who don’t fit into that culture, they seem to have had an actively discriminatory culture.
I’d like to think that I would have picked up on that culture if I’d interviewed in person, but I’m not at all confident that that’s the case; and, for that matter, for all I know the culture of the company really may have changed significantly since I interviewed. Which could be fine for somebody on the outside who is trying to get the company to pivot in search of greater profits; not necessarily so great for people in the middle of it.
I dunno; I’ve been in a pretty negative mood recently. Because the truth is, I could find just as many bad things to say about lots of other corporate subcultures around here. I certainly wouldn’t actively want to work in large companies, either, though I’m getting a more nuanced view of their strengths and weaknesses. And I’ve worked with great people at a lot of startups around here: great technically, but also great human beings, people that it’s been an honor to work with. I also certainly have nothing against making money, and I think that it’s great that money is available for people with ideas.
I just wish I had better leads on companies that were concentrating a bit more on their culture and their effects, companies that want to build the right things in the right ways. I’m sure there are a fair number if I knew where to look, I’m just not plugged into networks that enable me to see them.
And, seriously: the sexism in the valley has to stop.
This is a guest post by Alan Honick, a filmmaker whose past work has focused primarily on the interaction between civilization and natural ecosystems, and its consequences to the sustainability of both. Most recently he’s become convinced that fairness is the key factor that underlies sustainability, and has embarked on a quest to understand how our notions of fairness first evolved, and what’s happening to them today. I posted about his work before here. This is crossposted from Pacific Standard.
Inequality is a hot topic these days. Massive disparities in wealth and income have grown to eye-popping proportions, triggering numerous studies, books, and media commentaries that seek to explain the causes of inequality, why it’s growing, and its consequences for society at large.
Inequality triggers anger and frustration on the part of a shrinking middle class that sees the American Dream slipping from its grasp, and increasingly out of the reach of its children. But is it inequality per se that actually sticks in our craw?
There will always be inequality among humans—due to individual differences in ability, ambition, and more often than most would like to admit, luck. In some ways, we celebrate it. We idolize the big winners in life, such as movie and sports stars, successful entrepreneurs, or political leaders. We do, however (though perhaps with unequal ardor) feel badly for the losers—the indigent and unfortunate who have drawn the short straws in the lottery of life.
Thus, we accept that winning and losing are part of life, and concomitantly, some level of inequality.
Perhaps it’s simply the extremes of inequality that have changed our perspective in recent years, and clearly that’s part of the explanation. But I put forward the proposition that something far more fundamental is at work—a force that emerges from much deeper in our evolutionary past.
Take, for example, the recent NFL referee lockout, where incompetent replacement referees were hired to call the games.There was an unrestrained outpouring of venom from outraged fans as blatantly bad calls resulted in undeserved wins and losses. While sports fans are known for the extremity of their passions, they accept winning and losing; victory and defeat are intrinsic to playing a game.
What sparked the fans’ outrage wasn’t inequality—the win or the loss. Rather, the thing they couldn’t swallow—what stuck in their craw—was unfairness.
I offer this story from the KLAS-TV News website. It’s a Las Vegas station, and appropriately, the story is about how the referee lockout affected gamblers. It addresses the most egregiously bad call of the lockout, in a game between the Seattle Seahawks and the Green Bay Packers. From the story:
In a call so controversial the President of the United States weighed in, Las Vegas sports bettors said they lost out on a last minute touchdown call Monday night…
….Chris Barton, visiting Las Vegas from Rhode Island, said he lost $1,200 on the call against Green Bay. He said as a gambler, he can handle losing, “but not like that.”
“I’ve been gambling for 30 years almost, and that’s the worst defeat ever,” he said.
By the way, Obama’s “weigh-in” was through his Twitter feed, which I reproduce here:
“NFL fans on both sides of the aisle hope the refs’ lockout is settled soon. –bo”
When questioned about the president’s reaction, his press secretary, Jay Carney, said Obama thought “there was a real problem with the call,” and said the president expressed frustration at the situation.
I think this example is particularly instructive, simply because money’s involved, and money—the unequal distribution of it—is where we began.
Fairness matters deeply to us. The human sense of fairness can be traced back to the earliest social-living animals. One of its key underlying components is empathy, which began with early mammals. It evolved through processes such as kin selection and reciprocal altruism, which set us on the path toward the complex societies of today.
Fairness—or lack of it—is central to human relationships at every level, from a marriage between two people to disputes involving war and peace among the nations of the world.
I believe fairness is what we need to focus on, not inequality—though I readily acknowledge that high inequality in wealth and income is corrosive to society. Why that is has been eloquently explained by Kate Pickett and Richard Wilkerson in their book, The Spirit Level. The point I have been trying to make is that inequality is the symptom; unfairness is the underlying disease.
When dealing with physical disease, it’s important to alleviate suffering by treating painful symptoms, and inequality can certainly be painful to those who suffer at the lower end of the wage scale, or with no job at all. But if we hope for a lasting cure, we need to address the unfairness that causes it.
That said, creating a fairer society is a daunting challenge. Inequality is relatively easy to understand—it’s measurable by straightforward statistics. Fairness is a subtler concept. Our notions of fairness arise from a complex interplay between biology and culture, and after 10,000 years of cultural evolution, it’s often difficult to pick them apart.
Yet many researchers are trying. They are looking into the underlying components of the human sense of fairness from a variety of perspectives, including such disciplines as behavioral genetics, neuroscience, evolutionary and developmental psychology, animal behavior, and experimental economics.
In order to better understand fairness, and communicate their findings to a larger audience, I’ve embarked on a multimedia project to work with these researchers. The goal is to synthesize different perspectives on our sense of fairness, to paint a clearer picture of its origins, its evolution, and its manifestations in the social, economic, and political institutions of today.
The first of these multimedia stories appeared here at Pacific Standard. Called The Evolution of Fairness, it is about archaeologist Brian Hayden. It explores his central life work—a dig in a 5000 year old village in British Columbia, where he uncovered evidence of how inequality may have first evolved in human society.
I found another story on a CNN blog about the bad call in the Seahawks/Packers game. In it, Paul Ryan compares the unfair refereeing to President Obama’s poor handling of the economy. He says, “If you can’t get it right, it’s time to get out.” He goes on to say, “Unlike the Seattle Seahawks last night, we want to deserve this victory.”
We now know how that turned out, though we don’t know if Congressman Ryan considers his own defeat a deserved one.
I’ll close with a personal plea to President Obama. I hope—and believe—that as you are starting your second term, you are far more frustrated with the unfairness in our society than you were with the bad call in the Seahawks/Packers game. It’s arguable that some of the rules—such as those governing campaign finance—have themselves become unfair. In any case, if the rules that govern society are enforced by bad referees, fairness doesn’t stand much of a chance, and as we’ve seen, that can make people pretty angry.
Please, for the sake of fairness, hire some good ones.
This is a guest post by Becky Jaffe.
I know what you’re thinking: Don’t Christmas and America go together like Santa and smoking?
Why, of course they do! Just ask Saint Nickotine, patron saint of profit. This Lucky Strike advertisement is an early introduction to Santa the corporate shill, the seasonal cash cow whose avuncular mug endorses everything from Coca-Cola to Siri to yes, even competing brands of cigarettes like Pall Mall. Sorry Lucky Strike, Santa’s a bit of a sellout.
Nearly a century after these advertisements were published, the secular trinity of Santa, consumerism and America has all but supplanted the holy trinity the holiday was purportedly created to commemorate. I’ll let Santa the Spokesmodel be the cheerful bearer of bad news:
Christmas and consumerism have been boxed up, gift-wrapped and tied with a red-white-and-blue ribbon. In this guest post I’ll unwrap this package and explain why I, for one, am not buying it.
Yesterday was Thanksgiving, followed inexorably by Black Friday; one day we’re collectively meditating on gratitude, the next we’re jockeying for position in line to buy a wall-mounted 51” plasma HDTV. Some would argue that’s quintessentially American. As social critic and artist Andy Warhol wryly observed, “Shopping is more American than thinking.”
Such a dour view may accurately describe post WW II America, but not the larger trends nor longer traditions of our nation’s history. Although we may have become profligate of late, we were at the outset a frugal people; consumerism and America need not be inextricably linked in our collective imagination if we take a longer view. Long before there was George Bush telling us the road to recovery was to have faith in the American economy, there was Henry David Thoreau, who spoke to a faith in a simpler economy:
The Simple Living experiment he undertook and chronicled in his classic Walden was guided by values shared in common by many of the communities who sought refuge in the American colonies at the outset of our nation: the Mennonites, the Quakers, and the Shakers. These groups comprise not only a great name for a punk band, but also our country’s temperamental and ethical ancestry. The contemporary relationship between consumerism and Christmas is decidedly un-American, according to our nation’s founders. And what could be more American than the Amish? Or the secular version thereof: The Simplicity Collective.
Being anti-Christmas™ is as uniquely American as Thoreau, who summed up his anti-consumer credo succinctly: “Men have become the tools of their tools.” If he were alive today, I have no doubt that curmudgeonly minimalist would be marching with Occupy Wall Street instead of queuing with the tools on Occupy Mall Street.
Being anti-Christmas™ is as American as Mark Twain, who wrote, “The approach of Christmas brings harrassment and dread to many excellent people. They have to buy a cart-load of presents, and they never know what to buy to hit the various tastes; they put in three weeks of hard and anxious work, and when Christmas morning comes they are so dissatisfied with the result, and so disappointed that they want to sit down and cry. Then they give thanks that Christmas comes but once a year.” (From Following the Equator)
Being anti-Christmas™ is as American as “Oklahoma’s favorite son,” Will Rogers, 1920’s social commentator who made the acerbic observation, “Too many people spend money they haven’t earned, to buy things they don’t want, to impress people they don’t like.”
He may have been referring to presents like this, which are just, well, goyish:
Being anti-Christmas is as American as Robert Frost, recipient of four Pulitzer prizes in poetry, who had this to say in a Christmas Circular Letter:
He asked if I would sell my Christmas trees;
My woods—the young fir balsams like a place
Where houses all are churches and have spires.
I hadn’t thought of them as Christmas Trees.
I doubt if I was tempted for a moment
To sell them off their feet to go in cars
And leave the slope behind the house all bare,
Where the sun shines now no warmer than the moon.
I’d hate to have them know it if I was.
Yet more I’d hate to hold my trees except
As others hold theirs or refuse for them,
Beyond the time of profitable growth,
The trial by market everything must come to.
We inherit from these American thinkers a unique intellectual legacy that might make us pause at the commercialism that has come to consume us. To put it in other words:
- John Porcellino’s Thoreau at Walden: $18
- Walt Whitman’s Leaves of Grass: $5.95
- Mary Oliver’s American Primitive: $9.99
- The Life and Letters of John Muir: $12.99
- Transcendentalist Intellectual Legacy: Priceless.
The intellectual and spiritual founders of our country caution us to value our long-term natural resources over short-term consumptive titillation. Unheeding their wisdom, last year on Black Friday American consumers spent $11.4 billion, more than the annual Gross Domestic Product of 73 nations.
And American intellectual legacy aside, isn’t that a good thing? Doesn’t Christmas spending stimulate our stagnant economy and speed our recovery from the recession? If you believe organizations like Made in America, it’s our patriotic duty to spend money over the holidays. The exhortation from their website reads, “If each of us spent just $64 on American made goods during our holiday shopping, the result would be 200,000 new jobs. Now we want to know, are you in?”
That depends once again on whether or not we take the long view. Christmas spending might create a few temporary, low-wage, part-time jobs without benefits of the kind described in Barbara Ehrenreich’s Nickel and Dimed: On (Not) Getting By In America, but it’s not likely to create lasting economic health, especially if we fail to consider the long-term environmental and social costs of our short-term consumer spending sprees. The answer to Made in America’s question depends on the validity of the economic model we use to assess their spurious claim, as Mathbabe has argued time and again in this blog. The logic of infinite growth as an unequivocal net good is the same logic that underlies such flawed economic models as the Gross National Product (GNP) and the Gross Domestic Product (GDP).
These myopic measures fail to take into account the value of the natural resources from which our consumer products are manufactured. In this accounting system, when an old-growth forest is clearcut to make way for a Best Buy parking lot, that’s counted as an unequivocal economic boon since the economic value of the lost trees/habitat is not considered as a debit. Feminist economist and former New Zealand parliamentarian Marilyn Waring explains the idea accessibly in this documentary: Who’s Counting? Marilyn Waring on Sex, Lies, and Global Economics.
If we were to adopt a model that factors in the lost value of nonrenewable natural resources, such as the proposed Green National Product, we might skip the stampede at Walmart and go for a walk in the woods instead to stimulate the economy.
Other critics of these standard models for measuring economic health point out that they overvalue quantity of production and, by failing to take into account such basic measures of economic health as wealth distribution, undervalue quality of life. And the growing gap in income inequality is a trend that we cannot afford to overlook as we consider the best options for economic recovery. According to this New York Times article, “Income inequality has soared to the highest levels since the Great Depression, and the recession has done little to reverse the trend, with the top 1 percent of earners taking 93 percent of the income gains in the first full year of the recovery.”
For the majority of Americans who are still struggling to make ends meet, the Black Friday imperative to BUY! means racking up more credit card debt. (As American poet ee cummings quipped,” “I’m living so far beyond my income that we may almost be said to be living apart.”) The specter of Christmas spending is particularly ominous this season, during a recession, after a national wave of foreclosures has left Americans with insecure housing, exorbitant rents, and our beleaguered Santa with fewer chimneys to squeeze into.
Some proposed alternatives to the GDP and GNP that factor in income distribution are the Human Progress Index, the Genuine Progress Indicator, and yes, even a proposed Gross National Happiness.
A dose of happiness could be just the antidote to the dread many Americans feel at the prospect of another hectic holiday season. As economist Paul Heyne put it, “The gap in our economy is between what we have and what we think we ought to have – and that is a moral problem, not an economic one.”
Mind you, I’m not anti-Christmas, just anti-Christmas™. I’ve been referring thus far to the secular rites of the latter, but practicing Christians for whom the former is a meaningful spiritual meditation might equally take offense at its runaway commercialization, which the historical Jesus would decidedly not have endorsed.
I hate to pull the Bible card, but, seriously, what part of Ecclesiastes don’t you understand?
Better is an handful with quietness, than both the hands full with travail and vexation of spirit. – Ecclesiastes 4:6
Just imagine if Buddhism were hijacked by greed in the same fashion.
Or is it axial tilt?
Whether you’re a practicing Christian, a Born-Again Pagan celebrating the Winter Solstice (“Mithras is the Reason for the Season”), or a fundamentalist atheist (“You know it’s a myth! This season, celebrate reason.”), we all have reason to be concerned about the corporatization of our cultural rituals.
The meaning of Christmas has gotten lost in translation:
So this year, let’s give Santa a much-needed smoke break, pour him a glass of Kwanzaa Juice, and consider these alternatives for a change:
1. Presence, not presents. Skip the spending binge (and maybe even another questionable Christmas tradition, the drinking binge), and give the gift of time to the people you love. I’m talking luxurious swaths of time: unstructured time, unproductive time, time wasted exquisitely together.
I’m talking about turning off the television in preparation for Screen-Free Week 2013, and going for a slow walk in nature, which can create more positive family connection than the harried shopping trip. And if Richard Louv’s thesis about Nature Deficit Disorder is merited, it may be healthier for your child to take a walk in the woods than to camp out in front of the X-Box you can’t afford anyway.
Whether you’re choosing to spend the holidays with your family of origin or your family of choice, playing a game together is a great way to reconnect. How about kibitzing over this new card game 52 Shades of Greed? It’s quite the conversation starter. And what better soundtrack for a card game than Sweet Honey in the Rock’s musical musings on Greed? Or Tracy Chapman’s Mountains of Things.
Or how about seeing a show together? You can take the whole family to see Reverend Billy and the Church of Stop Shopping at the Highline Ballroom in New York this Sunday, November 25th. He’s on a “mission to save Christmas from the Shopocalypse.” From the makers of the film What Would Jesus Buy?
2. Give a group gift. There is a lot of talk about family values, but how well do we know each other’s values? One way to find out is to pool our giving together and decide as a group who the beneficiaries should be. You might elect to skip Black Friday and Cyber Monday and make a donation instead to Giving Tuesday’s Hurricane Sandy relief efforts. Other organizations worth considering:
3. Think outside the box. If you’re looking for alternatives to the gift-giving economy, how about bartering? Freecycle is a grassroots organization that puts a tourniquet on the flow of luxury goods destined for the landfill by creating local voluntary swap networks.
Or how about giving the gift of debt relief? Check out the Rolling Jubilee, a “bailout for the people by the people.”
4. Give the Buddhist gift: Nothing!
Buy Nothing Do Something is the slogan of an organization proposing an alternative to Black Friday: On Brave Friday, we “choose family over frenzy.” One contributor to the project shared this family tradition: “We have a “Five Hands” gift giving policy. We can exchange items that are HANDmade (by us), HAND-me-down and secondHAND. We can choose to gift a helping HAND (donations to charities). Lastly and my favorite, we can gift a HAND-in-hand, which is a dedication of time spent with one another. (Think date night or a day at the museum as a family.)”
Adbusters magazine sponsors an annual boycott of consumerism in England called Buy Nothing Day.
5. Invent your own holiday. Americans pride ourselves on our penchant for innovation. We amalgamate and synthesize novelty out of eclectic sources. Although we often talk about “traditional values,” we’re on the whole much less tradition-bound than say, the Serbs, who collectively recall several thousand years of history as relevant to the modern instant. We tend to abandon tradition when it is incovenient (e.g. marriage), which is perhaps why we harken back to its fantasy status in such a treacly manner. Making stuff up is what we do well as a nation. Isn’t “DIY Christmas” a no-brainer? Happy Christmahannukwanzaka, y’all!
6. Keep it weird. Several of you wrote with these suggestions for Black Friday street theater:
“Someone said go for a hike in a park, not the Wal*Mart parking lot. But why not the Wal*Mart parking lot? With all your hiking gear and everything.”
“I’d love for 5-6 of us to sit at Union Square in front of Macy’s and sit and meditate. Perhaps passer-bys will take a notice and ponder. Anyone in? Friday 2-3 hours.”
Few pranksters have been so elaborate in their anti-corporate antics as the Yes Men. You may get inspired to come up with some political theater of your own after watching the documentary The Yes Men: The True Story of the End of the World Trade Organization.
However we choose to celebrate the holidays in this relativist pluralistic era, whatever our preferred religious and/or cultural December-based holiday celebration may be, we can disentangle our rituals from obligatory consumerism.
I’m not suggesting this is an easy task. Our consumer habits are wrapped up with our identities as social critic Alain de Botton observes: “We need objects to remind us of the commitments we’ve made. That carpet from Morocco reminds us of the impulsive, freedom-loving side of ourselves we’re in danger of losing touch with. Beautiful furniture gives us something to live up to. All designed objects are propaganda for a way of life.”
This year, let’s skip the propaganda.
We can choose to
Yes, we can.
Happy Solstice, everyone!
(If only I had a Celestron CPC 1100 Telescope with Nikon D700 DSLR adapter to admire the Solstice skies….)
Hello, Aaron here.
Cathy asked me to write a post about wasting time. But I never got around to it.
Just kidding. I’m actually doing it.
Things move fast here in New York City, but where the hell is everyone going anyway?
When I was writing my dissertation, I lived on the west coast and Cathy lived on the east coast. I used to get up around 7 every morning. She was very pregnant (for the first time), and I was very stressed out. We talked on the phone every morning, and we got in the habit of doing the New York Times crossword puzzle. Mind you, this was before it was online – she actually had a newspaper, with ink and everything, and she read me the clues over the phone and we did the puzzle together. It helped get me going in the morning, and it warmed me up for dissertation writing.
After a long time of not doing crossword puzzles, I’ve taken it up again in recent years. Sometimes Cathy and I do it together, online, using the app where two people can solve it at the same time. [NYT, if you're listening, the new version is much worse than the old! Gotta fix up the interfacing.] Sometimes I do it myself. Sometimes, like today, it’s Thanksgiving, and it’s a real treat to do the puzzle with Cathy in person. But one way or another, I do it just about every day.
At one point, early in the current phase of my habit, I got stuck and I wanted to cheat. I looked for the answers online, since I couldn’t just wait until the next day. I came across this blog, which I call rexword for short.
I got addicted. As happens so frequently with the internets, I discovered an entire community of people who are both really into something mildly obscure (read: nerdy) and also actually insightful, funny, and interesting (read: nerdy).
I’ve learned a lot about puzzling from rexword. I like to tell my students they have to learn how to get “behind” what I write on the chalkboard, to see it before it’s being written or as it’s being written as if they were doing it themselves, the way a musician hears music or the way anyone does anything at an expert level. Rex’s blog took me behind the crossword puzzle for the first time. I’m nowhere near as good at it as he is, or as many of his readers seem to be, but seeing it from the other side is a lot of fun. I appreciate puzzles in a completely different way now: I no longer just try to complete it (which is still a challenge a lot of the time, e.g. most Saturdays), but I look it over and imagine how it might have been different or better or whatever. Then, especially if I think there’s something especially notable about it, I go to the blog expecting some amusing discussion.
Usually I find it. In fact, usually I find amusing discussion and insights about way more things than I would ever notice myself about the puzzle. I also find hilarious things like this:
We just did last Sunday’s puzzle, and at the end we noticed that the completed puzzle contained all of the following: g-spot, tits, ass, cock. Once upon a time I might not have thought much of this (or noticed) but now my reaction was, “I bet there’s something funny about this on the blog.” I was sure this would be amply noted and wittily de- and re-constructed. In fact, it barely got a mention, although predictably, several commenters picked up the slack.
Anyway, I’ve got this particular addiction under control – I no longer read the blog every day, but as I said, when there’s something notable or funny I usually check it out and sometimes comment myself, if no one else seems to have noticed whatever I found.
What is the point of all this? In case you forgot, Cathy asked me to write about wasting time. I think she made this request because of the relish with which I tread the fine line between being super nerdy about something and just wasting time (don’t get me started about the BCS….).
Today, I am especially thankful to be alive and in such a luxurious condition that I can waste time doing crossword puzzles, and then reading blogs about doing crossword puzzles, and then writing blogs about reading blogs about doing crossword puzzles.
Happy Thanksgiving everyone.
I find myself having conversations recently with people from increasingly diverse fields, both at Columbia and in local startups, about how their work is becoming “data-informed” or “data-driven,” and about the challenges posed by applied computational statistics or big data.
A view from health and biology in the 1990s
In discussions with, as examples, New York City journalists, physicists, or even former students now working in advertising or social media analytics, I’ve been struck by how many of the technical challenges and lessons learned are reminiscent of those faced in the health and biology communities over the last 15 years, when these fields experienced their own data-driven revolutions and wrestled with many of the problems now faced by people in other fields of research or industry.
It was around then, as I was working on my PhD thesis, that sequencing technologies became sufficient to reveal the entire genomes of simple organisms and, not long thereafter, the first draft of the human genome. This advance in sequencing technologies made possible the “high throughput” quantification of, for example,
- the dynamic activity of all the genes in an organism; or
- the set of all protein-protein interactions in an organism; or even
- statistical comparative genomics revealing how small differences in genotype correlate with disease or other phenotypes.
These advances required formation of multidisciplinary collaborations, multi-departmental initiatives, advances in technologies for dealing with massive datasets, and advances in statistical and mathematical methods for making sense of copious natural data.
The fourth paradigm
This shift wasn’t just a series of technological advances in biological research; the more important change was a realization that research in which data vastly outstrip our ability to posit models is qualitatively different. Much of science for the last three centuries advanced by deriving simple models from first principles — models whose predictions could then be compared with novel experiments. In modeling complex systems for which the underlying model is not yet known but for which data are abundant, however, as in systems biology or social network analysis, one may turn this process on its head by using the data to learn not only parameters of a single model but to select which among many or an infinite number of competing models is favored by the data. Just over a half-decade ago, the computer scientist Jim Gray described this as a “fourth paradigm” of science, after experimental, theoretical, and computational paradigms. Gray predicted that every sector of human endeavor will soon emulate biology’s example of identifying data-driven research and modeling as a distinct field.
In the years since then we’ve seen just that. Examples include data-driven social sciences (often leveraging the massive data now available through social networks) and even data-driven astronomy (cf., Astronomy.net). I’ve personally enjoyed seeing many students from Columbia’s School of Engineering and Applied Science (SEAS), trained in applications of big data to biology, go on to develop and apply data-driven models in these fields. As one example, a recent SEAS PhD student spent a summer as a “hackNY Fellow” applying machine learning methods at the data-driven dating NYC startup OKCupid. [Disclosure: I'm co-founder and co-president of hackNY.] He’s now applying similar methods to population genetics as a postdoctoral researcher at the University of Chicago. These students, often with job titles like “data scientist,” are able to translate to other fields, or even to the “real world” of industry and technology-driven startups, methods needed in biology and health for making sense of abundant natural data.
Data science: Combining engineering and natural sciences
In my research group, our work balances “engineering” goals, e.g., developing models that can make accurate quantitative predictions, with “natural science” goals, meaning building models that are interpretable to our biology and clinical collaborators, and which suggest to them what novel experiments are most likely to reveal the workings of natural systems. For example:
- We’ve developed machine-learning methods for modeling the expression of genes — the “on-off” state of the tens of thousands of individual processes your cells execute — by combining sequence data with microarray expression data. These models reveal which genes control which other genes, via what important sequence elements.
- We’ve analyzed large biological protein networks and shown how statistical signatures reveal what evolutionary laws can give rise to such graphs.
- In collaboration with faculty at Columbia’s chemistry department and NYU’s medical school, we’ve developed hierarchical Bayesian inference methods that can automate the analysis of thousands of time series data from single molecules. These techniques can identify the best model from models of varying complexity, along with the kinetic and biophysical parameters of interest to the chemist and clinician.
- Our current projects include, in collaboration with experts at Columbia’s medical school in pathogenic viral genomics, using machine learning methods to reveal whether a novel viral sequence may be carcinogenic or may lead to a pandemic. This research requires an abundant corpus of training data as well as close collaboration with the domain experts to ensure that the models exploit — and are interpretable in light of — the decades of bench work that has revealed what we now know of viral pathogenic mechanisms.
Throughout, our goals balance building models that are not only predictive but interpretable, e.g., revealing which sequence elements convey carcinogenicity or permit pandemic transmissibility.
Data science in health
More generally, we can apply big data approaches not only to biological examples as above but also to health data and health records. These approaches offer the possibility of, for example, revealing unknown lethal drug-drug interactions or forecasting future patient health problems; such models could have consequences for both public health policies and individual patent care. As one example, the Heritage Health Prize is a $3 million challenge ending in April 2013 “to identify patients who will be admitted to a hospital within the next year, using historical claims data.” Researchers at Columbia, both in SEAS and at Columbia’s medical school, are building the technologies needed for answering such big questions from big data.
The need for skilled data scientists
In 2011, the McKinsey Global Institute estimated that between 140,000 and 190,000 additional data scientistswill need to be trained by 2018 in order to meet the increased demand in academia and industry in the United States alone. The multidisciplinary skills required for data science applied to such fields as health and biology will include:
- the computational skills needed to work with large datasets usually shared online;
- the ability to format these data in a way amenable to mathematical modeling;
- the curiosity to explore these data to identify what features our models may be built on;
- the technical skills which apply, extend, and validate statistical and machine learning methods; and most importantly,
- the ability to visualize, interpret, and communicate the resulting insights in a way which advances science. (As the mathematician Richard Hamming said, “The purpose of computing is insight, not numbers.”)
More than a decade ago the statistician William Cleveland, then at Bell Labs, coined the term “data science” for this multidisciplinary set of skills and envisioned a future in which these skills would be needed for more fields of technology. The term has had a recent explosion in usage as more and more fields — both in academia and in industry — are realizing precisely this future.
This is written by Rachel Schutt and crossposted from her Columbiadatascience blog
Data is information and is extremely powerful. Models and algorithms that use data can literally change the world. Quantitatively-minded people have always been able to solve important problems, so this is nothing new, and there’s always been data, so this is nothing new.
What is new is the massive amounts of data we have on all aspects of our lives, from the micro to the macro. The data we have from government, finance, education, the environment, social welfare, health, entertainment, the internet will be used to make policy-decisions and to build products back into the fabric of our culture.
I want you, my students, to be the ones doing it. I look around the classroom and see a group of thoughtful, intelligent people who want to do good, and are absolutely capable of doing it.
I don’t call myself a “data scientist”. I call myself a statistician. I refuse to be called a data scientist because as it’s currently used, it’s a meaningless, arbitrary marketing term. However, the existence of the term, and apparent “sexiness” of the profession draws attention to data and opens up opportunities. So we need Next-Gen Data Scientists. That’s you! Here’s what I mean when I say Next-Gen Data Scientist:
- Next-Gen Data Scientists have humility. They don’t lie about their credentials and they don’t spend most of their efforts on self-promotion.
- Next-Gen Data Scientists have integrity. Their work is not about trying to be “cool” or solving some “cool” problem. It’s about being a problem solver and finding simple, elegant solutions. (or complicated, if necessary)
- Next-Gen Data Scientists don’t try to impress with complicated algorithms and models that don’t work.
- Next-Gen Data Scientists spend a lot more time trying to get data into shape then anyone cares to admit.
- Next-Gen Data Scientists have the experience or education to actually know what they’re talking about. They’ve put their time in.
- Next-Gen Data Scientists are skeptical – skeptical about models themselves and how they can fail and the way they’re used or can be misused.
- Next-Gen Data Scientists make sure they know what they’re talking about before running around trying to show everyone else they exist.
- Next-Gen Data Scientsts have a variety of skills including coding, statistics, machine learning, visualization, communication, math.
- Next-Gen Data Scientists do enough Science to merit the word “Scientist”, someone who tests hypotheses and welcomes challenges and alternative theories.
- Next-Gen Data Scientists are solving a new breed of problem that surrounds the structure and exploration of data and the computational issues surrounding it.
- Next-Gen Data Scientists don’t find religion in tools, methods or academic departments. They are versatile and interdisciplinary.
- Next-Gen Data Scientists are highly skilled and ought to get paid well enough that they don’t have to worry too much about money
- Next-Gen Data Scientists don’t let money blind them to the point that their models are used for unethical purposes.
- Next-Gen Data Scientists seek out opportunities to solve problems of social value.
- Next-Gen Data Scientists understand the implications and consequences of the models they’re building.
- Next-Gen Data Scientists collaborate and cooperate.
- Next-Gen Data Scientists bring their humanity with them to problem solving, and algorithm/model-building.