Freakonomics
Jul. 30th, 2005 12:50 am![[personal profile]](https://www.dreamwidth.org/img/silk/identity/user.png)
Friday I went to another Google talk, this one by the authors of Freakonomics. While the room filled to overflowing in the half hour before the presentation started, I read through the introduction of the free copy I picked up. Even the intro is filled with assertions that are very interesting but leave me thinking, "really?," even when they're something about which I've reached a similar conclusion. After all, if all the other experts have missed the causal factors that the authors have uncovered, what factors are the authors missing? Many of the anecdotes that take up a few paragraphs in the introduction could be expanded into a book, and probably would have to be for me to feel like I have enough information to evaluate the veracity of their claims. But perhaps this is my fault for wanting academic rigor in a pop-science book.
Here's one anecdote. Preceding it, the authors describe how violent crime was climbing at a rapid rate up to the mid-nineties, and then it dropped off unexpectedly but universally. They summarize some of the most popular ideas of why this happened ("These stories were not only logical; they were also encouraging, for they attributed the crime drop to specific and recent human initiatives"), and then assert that they weren't true. Then they say the crime drop started 20 years earlier, and give a quick summary of how abortion became legal.
So I've heard these arguments before in different forms, and I certainly agree that planned families and wanted children - of which abortion is an unfortunate but sometimes necessary part - make a huge difference in what kids do when they grow up. But I have to take on faith the authors' assertion that this cause-and-effect really exists, and that the other factors didn't have effects. I'm sure they have more data on which they based their assertions, but I want to see it and see if I reach the same conclusions.
Another reason that I'm skeptical is that even in the introduction, the authors play psychological games with statistics:
The comparison between campaign spending and chewing gum is supposed to make me see that campaign spending isn't so bad after all, except that the former is what an individual spends and the latter is what a large aggregate spends, and comparing them is misleading. And the use of chewing gum as the example just tries to trivialize it more.
Anyway, in the talk, the two authors introduced themselves and how they (an economist and a writer) came to work together, and then talked about a couple of anecdotes that weren't in the book. One was about a Yale economist, Keith Chen, teaching Capuchin monkeys how to use money. Over 6 months, they taught the monkeys to first associate and then trade washers for high-sugar foods that they loved, and found that they reacted rationally to price fluctuations (e.g. they bought less of their favorite food if it cost more) and irrationally to a game where they could lose their money, "just like the average day trader." They also related that researchers observed monkeys steal money from them, and claimed that monkey prostitution was observed as well. (Another of those "really?" moments there.)
In response to one question, the authors argued that the usual metrics by which schools are measuerd - class sizes, test scores, the number of students to go on to college or get good jobs, etc. - don't matter, and that the important parts are the quality of teachers and their peers. They quoted studies done on the Chicago public school lottery system, where students who won the lottery to get into a good school didn't perform better - indeed, they did slightly worse - than similar students who didn't win the lottery and had to go to a "worse" school. However, the students at the worse schools did get into trouble more.
Here's one anecdote. Preceding it, the authors describe how violent crime was climbing at a rapid rate up to the mid-nineties, and then it dropped off unexpectedly but universally. They summarize some of the most popular ideas of why this happened ("These stories were not only logical; they were also encouraging, for they attributed the crime drop to specific and recent human initiatives"), and then assert that they weren't true. Then they say the crime drop started 20 years earlier, and give a quick summary of how abortion became legal.
So how did Roe v. Wade help trigger, a generation later, the greatest crime drop in recorded history?
As far as crime is concerned, it turns out that not all children are born equal. Not even close. Decades of studies have shown that a child born into an adverse family environment is far more likely than other children to become a criminal. And the millions of women most likely to have an abortion in the wake of Roe v. Wade - poor, unmarried, and teenage mothers for whom illegal abortions had been too expensive or too hard to get - were often models of adversity. They were the very women whose children, if born, would have been much more likely than average to become criminals. But because of Roe v. Wade, these children weren't being born. This powerful cause would have a drastic, distant effect: years later, just as these unborn children would have entered their criminal primes, the rate of crime began to plummet.
It wasn't gun control or a strong economy or new police strategies that finally blunted the American crime wave. It was, among other factors, the reality that the pool of potential criminals had dramatically shrunk.
So I've heard these arguments before in different forms, and I certainly agree that planned families and wanted children - of which abortion is an unfortunate but sometimes necessary part - make a huge difference in what kids do when they grow up. But I have to take on faith the authors' assertion that this cause-and-effect really exists, and that the other factors didn't have effects. I'm sure they have more data on which they based their assertions, but I want to see it and see if I reach the same conclusions.
Another reason that I'm skeptical is that even in the introduction, the authors play psychological games with statistics:
In a typical election period that includes campaigns for the presidency, the Senate, and the House of Representatives, about $1 billion is spent per year - which sounds like a lot of money, unless you care to measure it against something seemingly less important than democratic elections. It is the same amount, for instance, that Americans spend every year on chewing gum.
The comparison between campaign spending and chewing gum is supposed to make me see that campaign spending isn't so bad after all, except that the former is what an individual spends and the latter is what a large aggregate spends, and comparing them is misleading. And the use of chewing gum as the example just tries to trivialize it more.
Anyway, in the talk, the two authors introduced themselves and how they (an economist and a writer) came to work together, and then talked about a couple of anecdotes that weren't in the book. One was about a Yale economist, Keith Chen, teaching Capuchin monkeys how to use money. Over 6 months, they taught the monkeys to first associate and then trade washers for high-sugar foods that they loved, and found that they reacted rationally to price fluctuations (e.g. they bought less of their favorite food if it cost more) and irrationally to a game where they could lose their money, "just like the average day trader." They also related that researchers observed monkeys steal money from them, and claimed that monkey prostitution was observed as well. (Another of those "really?" moments there.)
In response to one question, the authors argued that the usual metrics by which schools are measuerd - class sizes, test scores, the number of students to go on to college or get good jobs, etc. - don't matter, and that the important parts are the quality of teachers and their peers. They quoted studies done on the Chicago public school lottery system, where students who won the lottery to get into a good school didn't perform better - indeed, they did slightly worse - than similar students who didn't win the lottery and had to go to a "worse" school. However, the students at the worse schools did get into trouble more.
no subject
Date: 2005-07-30 09:03 am (UTC)no subject
Date: 2005-07-30 09:13 am (UTC)Some other tidbits they had this morning:
- Swimming pools are more dangerous to kids than guns
- Realtors are more interested in getting your house sold than getting you a good price
no subject
Date: 2005-07-30 05:15 pm (UTC)no subject
Date: 2005-07-30 01:39 pm (UTC)It's interesting that Levitt's reply is not really a defense of the legalized-abortion hypothesis, but an attack on the crack hypothesis.
no subject
Date: 2005-07-30 04:53 pm (UTC)no subject
Date: 2005-07-30 05:03 pm (UTC)no subject
Date: 2005-07-30 05:16 pm (UTC)no subject
Date: 2005-07-30 06:14 pm (UTC)no subject
Date: 2005-07-30 04:50 pm (UTC)The comparison between campaign spending and chewing gum is supposed to make me see that campaign spending isn't so bad after all, except that the former is what an individual spends and the latter is what a large aggregate spends, and comparing them is misleading.
I think it's an interesting parallel of spending money although I do agree that the individual v. group makes it not a fair comparison. It makes me stray from the authors point and think about how so many people can afford chewing gum but so many less people can afford to campaign so democracy does not exist when economics get factored somehow.
no subject
Date: 2005-07-30 05:55 pm (UTC)no subject
Date: 2005-07-30 06:20 pm (UTC)campaign contributions
Date: 2005-07-31 05:35 pm (UTC)I just picked up the book and re-read the relevant 2-3 pages. I would agree with his point (that we overestimate the effect of campaign contributions) but not for his reasons.
Levitt's arguments are:
1) People like Dean, Forbes, etc. can spend a lot of their own money and not win an election.
2) When two politicians have a re-match after several years, changes in their spending are correlated only slightly with changes in the outcome of the election.
But this doesn't prove that campaign contributions have nothing to do with winning an election. There is no instant positive feedback from individual spending, but there may be long term feedback from a party's spending. After all, I bet most people on this list have not recently changed which party they voted. In that case, if you were affected by campaign contributions at all, it was long, long ago, the last time you switched parties.
Suppose that the popularity of a given party comes from the collected advertisements run by all interested organizations: the NRA, the pro-life lobby, the anti-gay lobby, et cetera. And suppose people have loyalty to a party, so they effectively remember not just this year's ads, but last year's, and the year before. And suppose that a Californian might rely on what s/he read in the New York Times, which is influenced by the ads that the New York Times journalist sees on TV in New York. In that case, the ads would be very important, but individual politicians would derive little or no benefit from their ads. Only the party as a whole derives a benefit.
But even if contributions don't influence the election, politicians will still think the contributions are important. If a politician believes that campaign contributions influence the election, then s/he will pay attention to the needs of contributors before non-contributors.
It's all a very complicated nonlinear system, kind of like the stock market, with the causes and effects all muddled. This happens whenever the system is composed of people who are trying to understand the system.
Re: campaign contributions
Date: 2005-08-01 06:00 am (UTC)Great points - there do seem to be a lot of factors here that the authors didn't mention. Dean is an interesting case - he did raise (unprecedentedly?) huge amounts of money from individual donors (who presumably were casting their monetary "votes" that he was a viable candidate), yet he crashed fast and hard. That was in a primary, though, where people voted for a top candidate within their party (so party distribution doesn't matter so much), rather than for their choice for final winner (where they would tend to vote along party lines).
Re: campaign contributions
Date: 2005-08-02 02:26 am (UTC)