June 2013 Archives
Sun Jun 23 20:13:32 EDT 2013
NSA, PRISM and Snowden
In all the discussions related to whistleblower Edward Snowden's
revelations about the NSA and the PRISM surveillance program,
first revealed by
Glen Greenwald in The Guardian,
there are some points I have not seen mentioned
and that I wonder about.
Addendum 06/24/2013: For some clues to possible answers see:
The Dirty Little Secret About Mass Surveillance: It Doesn't Keep Us Safe Top National Security Experts: Spying Program Doesn't Make Us Safer, and Spying Leaks Don't Harm AmericaMon Jun 10 01:09:09 EDT 2013
Prediction Follies
So, most predictions we remember are ones which were fabulously, wildly unexpected and then came true. Now, the person who makes that prediction has a strong incentive to remind everyone that they made that crazy prediction which came true. If you look at all the people, the economists, who talked about the financial crisis ahead of time, those guys harp on it constantly. "I was right, I was right, I was right." But if you're wrong, there's no person on the other side of the transaction who draws any real benefit from embarrassing you by bring up the bad prediction over and over. So there's nobody who has a strong incentive, usually, to go back and say, Here's the list of the 118 predictions that were false. And without any sort of market mechanism or incentive for keeping the prediction makers honest, there's lots of incentive to go out and to make these wild predictions.One participant in that podcast is Philip Tetlock whose book, Expert Political Judgment: How Good Is It? How Can We Know? was reviewed in The New Yorker back in December 2005. A more recent conversation (December 2012) with him can be found on Edge.org: Under the auspices of the Intelligence Advanced Research Projects Activity (IARPA), Tetlock is co-leader of The Good Judgment Project, one of five teams competing in the Aggregative Contingent Estimation (ACE) Program whose aim is to benchmark the accuracy of predictions and discover ways to improve that accuracy by using level playing field forecasting tournaments. To whet your appetite, here are 3 excerpts from the above Edge link.
So, we found three basic things: many pundits were hardpressed to do better than chance, were overconfident, and were reluctant to change their minds in response to new evidence. That combination doesn't exactly make for a flattering portrait of the punditocracy.
. . . One of the reactions to my work on expert political judgment was that it was politically naive; I was assuming that political analysts were in the business of making accurate predictions, whereas they're really in a different line of business altogether. They're in the business of flattering the prejudices of their base audience and they're in the business of entertaining their base audience and accuracy is a side constraint. They don't want to be caught in making an overt mistake so they generally are pretty skillful in avoiding being caught by using vague verbiage to disguise their predictions.
. . . The long and the short of the story is that it's very hard for professionals and executives to maintain their status if they can't maintain a certain mystique about their judgment. If they lose that mystique about their judgment, that's profoundly threatening. My inner sociologist says to me that when a good idea comes up against entrenched interests, the good idea typically fails. But this is going to be a hard thing to suppress. Level playing field forecasting tournaments are going to spread. They're going to proliferate. They're fun. They're informative. They're useful in both the private and public sector. There's going to be a movement in that direction. How it all sorts out is interesting. To what extent is it going to destabilize the existing pundit hierarchy? To what extent is it going to destabilize who the big shots are within organizations?