As someone who has followed the Oregon Ducks football since the end of the Rich Brooks era in the first half of the 90s it’s a little weird to me how much the national profile of the team has risen in stature over the past 20 years. If I travel across the country I now see Oregon Ducks apparel rather regularly. As someone from Oregon I used to ask these people if they were perhaps from Oregon, but after one too many instances where it turns out the person has never even been to the state and has no connection aside from the jersey, I’ve stopped doing that. For example, last year I was in Texas around the new year, and saw a guy with an Oregon sweatshirt, and asked him if he was from Oregon. He smiled bashfully and told me he’d gotten the jersey recently, since he was an Aggies fan.
An article in The New York TimesUpshot blog uses Facebook data to illustrate this new normal pretty clearly. Not only does Oregon overwhelm the Pac-12 map, being the second or third preference across much of the West, but it’s expanding across the northern Great Plains. It’s even the first choice in one county in Minnesota. I hope Phil Knight is happy.
Bayesian statistics has made The New York Times, The Odds, Continually Updated. One illustration of the utility of Bayesian methods left out of the piece is in phylogenetics. For example, Mr. Bayes. Just to see how far we’ve come, I like to retell a story from a professor of mine. When he was in grad school ~15 years ago it was assumed that they’d never be able to implement the far less exhaustive maximum likelihood method due to limitations of computational power.
But the reason I want to highlight this article, aside from that it is a good article overall, is this section:
Take, for instance, a study concluding that single women who were ovulating were 20 percent more likely to vote for President Obama in 2012 than those who were not. (In married women, the effect was reversed.)
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Dr. Gelman re-evaluated the study using Bayesian statistics. That allowed him to look at probability not simply as a matter of results and sample sizes, but in the light of other information that could affect those results.
He factored in data showing that people rarely change their voting preference over an election cycle, let alone a menstrual cycle. When he did, the study’s statistical significance evaporated. (The paper’s lead author, Kristina M. Durante of the University of Texas, San Antonio, said she stood by the finding.)
Cairo University class of 1978, no headscarvesThere are plenty of sexy papers published on ovulation and menstrual cycles and how they correlate with a particular outcome. If you look for correlations enough they will come (assuming you use p = 0.05). That’s common sense. But another issue to consider here is that you have a model, and the predictions that the model makes don’t hold in a rather simple case where the cause and effect seem obvious (i.e., voting patterns should change over time since ovulation changes over time). This sort of sanity check is important when you go drudging through statistics, but also when you are tackling complex phenomena at a high level.
Whenever I talk about Islam people offer up opinions about how the Koran serves as a sort of template or guidebook in terms of behavior, and that explains Islamic civilizations real pathologies. This is not an implausible model, and I held to it myself when I was younger. Cairo University class of 2004, lots of headscarvesThere are two problems. First, most of the people making this assertion don’t know enough history or religion to even plausibly evaluate the model in their own head. That’s just a fact, and why I’m so dismissive of so many people. The limits of your knowledge are the limits of your model building. Second, there’s a deeper issue which I first encountered in the mid-aughts: there’s a good deal of evidence from cognitive psychology that people barely understand in a coherent manner the ‘messages’ of their scriptural texts. This is outlined in books like In Gods We Trust: The Evolutionary Landscape of Religion. One also has to remember that for almost all of human history, and to a great extent today, most humans were either illiterate or functionally so. More importantly psychological experiments which attempt to ferret out exactly how scriptural texts would impact peoples’ beliefs show that there’s no real ratiocination going on. Rather, it seems to be that reasoning in a religious context is a process of collective rationalization.
When it comes to a field like genomics there’s really no point in reading a textbook beyond the elementary level because it’s moving so quickly that things get out of date within the year. But that’s not always the case. I quite like Dover Books for their math section. Math is true, even if it was written in 1920 (the prose is often a bit stilted, but that’s not what you’re focusing on in any case). Evolutionary biology is somewhere between genomics and math. There is much that gets out of date rapidly, as science proceeds, but there is a broader scaffold which remains true no matter the passing decades. For intelligent lay persons who are interested in evolution my own suggestion is to just read The Origin of Species, and then R. A. Fisher’s The Genetical Theory of Natural Selection. After that popular works by Richard Dawkins make a lot more sense.
Only text on evolutionary biology I’ve ever read (as opposed to evolutionary genetics)
But why stop there? On Twitter there is a hashtag, #EvoBioClassics, which will be of interest to anyone who wants to understand evolutionary biology. These are papers which are highly cited and referred to, but often not read as much as they should be. One of the great virtues of them being classics is that you can usually find ungated versions of the paper somewhere.