Court to Decide if Human Genes Can Be Patented. So it seems a group of middle aged to very aged lawyers will decide the decades long Myriad Genetics saga. My position on this issue is simple: if you are going to award patents, they must be awarded to acts of engineering, not discoveries of science. See Genomics Law Report for more well informed commentary.
Update: You can leave comments now. But, you are forced to register with no third party login option. I know many of you don’t like the last, because you are emailing me about it. If the quantity of responses (<5, vs. the usually of ~50 for an “open thread”) on this thread is a measure I suspect that I’ll have to switch web-discussion mostly to Twitter or Facebook. I balk at registering to comment personally, so I totally understand.
As you may have noticed there are some issues with Discover Blog‘s transition to a new system. But once comments work again, feel free to post here. I’m busy with some other things right now besides the blog, so I’m going to take the current technical issues as an excuse to not post for a few days.
As many of you know, right before the election I made a $50 bet with Hank Campbell that Nate Silver would get at least 48 out of 50 states correct for the 2008 presidential election. I also got one of Hank’s readers to sign on to the same bet. Additionally, a few readers and Twitter followers got in on the wager; they were bullish on Romney’s prospects, and I was not (more honestly, I was moderately sure they were self-delusional, and willing to take their money to make them more cautious about their self-delusional biases in the future). But there’s a major precondition that needs to be stated here: I hedged.
Last February a friend told me he was 100% confident that Barack Hussein Obama would be reelected. This prompted me to ask for favorable terms on a bet. The logic was simple, if he was 100% confident, then it shouldn’t be a major issue for him, because he was collecting anyhow. As it happens he gave me 5 to 1 odds, so that I would collect $5 for every $1 he might collect. I told him beforehand that I actually thought that Obama had a 60-70% chance of winning, so I went into the wager assuming I’d be out a modest amount of money. But that was no concern. My goal was now to convince those who were irrationally supportive of Romney to take the other side of the bet. For whatever reason people have an inordinate bias toward their hoped-for-candidate in terms of who they think will win, as opposed to who they wish to win. The future ought gets confused with the future is.* I got people to take the other side, which means that I was going to make money no matter who won.
At this point one might wonder about my comment that I suspected that those who were bullish on Romney were delusional. It’s rather strong, and my reasoning is actually rather strange. Overall I accepted the polling averages. A few years back I was an economic determinist in election outcomes, but Nate Silver had convinced me that the sample size was too small to get a good sense of the real proportion of variation being predicted here. In short, the economy matters, but I stepped back from the supposition that it was determinative (as it happens, purely economic models that were excellent at predicting past elections face-planted this time). So that’s why I relied on the polls. Though I leaned on Nate Silver, I didn’t think he was particularly oracular, and I’d say that I’m mildly skeptical of the excessive faith some put in his particular person. When I put a link up to Colby Cosh’s mild take-down of Silvermania I received a few moderately belligerent comments. This despite the fact that I was willing to put money on Silver’s prediction.
GeoCurrents on the political anomaly of the “Driftless” zone of the upper Mississippi (via GLPiggy). The anomaly has to do with the fact that this area is very white, very rural, and not in the orbit of a larger cosmopolitan urban area (e.g., “Greater Boston,” which extends into New Hampshire). The post goes into much greater detail, but concludes with a request for more information. This is the area where local knowledge might be helpful.
I went poking around old county level presidential election maps, and I can’t see the Driftless blue-zone being a shadow or ghost of any past pattern. But, I did stumble upon again the 1856 presidential election map by county…can there be a better illustration of the “Greater Yankeedom” (the red are Republican voting counties, the first year that the Republicans were a substantial national party):
I decided to go with my own blog, rather than return to EconLog, because I want to have total control over the blog content. I want to model a very particular style of discourse, as indicated by the tag line “taking the most charitable view of those who disagree.” In June, I wrote
Suppose we look at writing on issues where people tend to hold strong opinions that fit with their ideology. Such writing can
(a) attempt to open the minds of people on the opposite side as the author
(b) attempt to open minds of people on the same side as the author
(c) attempt to close minds of people on the same side as the author
So, think about it. Wouldn’t you classify most op-eds and blog posts as (c)? Isn’t that sort of pathetic?
My goal is to avoid (c). I will try to keep the posts here free of put-downs, snark, cheap shots, straw-man arguments, and taking the least charitable interpretation of what others say. So, if what you most enjoyed about my past blogging efforts were the put-downs, be prepared for disappointment with this incarnation.
Following up my request a reader crunched the numbers (here is his data table) to show the association between supporting supporting Proposition 37 and voting for Barack Obama by county in California:
From what I know this issue really polarized people in highly educated liberal enclaves in the state of California. Many of my Left non-scientist friends supported the measure because of an anti-corporate animus. But, another issue that sometimes came up was transparency and fair play, in a “teach the controversy” fashion. My own contention is on the scientific point there is no controversy.
If you aren’t too stuffed, ask! I plan to get my simultaneous review of The Signal and the Noise: Why So Many Predictions Fail-but Some Don’t and Uncontrolled: The Surprising Payoff of Trial-and-Error for Business, Politics, and Society up over the holiday weekend, but I’m going to be focused on other things besides the blog obviously. That being said, to be frank I don’t personally feel that the regular reader of this weblog would get much value from The Signal and the Noise (Nate Silver interviews Robin Hanson. I didn’t need to read his book to be aware of Robin Hanson’s ideas, he quite freely shares them to all curiosity seekers on the internet and in person). Uncontrolled adds more value in my opinion because experiments in social science are more difficult, and probably more genuinely ground-breaking (if less sexy), than statistical inference.
Many months ago I told some of my friends that I’d run analyses of their 23andMe data, and report it back to them. A year ago I made the same promise to some of my readers. But life got in the way, and I’ve been very busy. I’m working on scripts to make the whole process efficient for me (if you want to know, I’m trying to get the output to be easy to merge many runs with CLUMPP and then produce DISTRUCT type outputs; I’ve done this with other Admixture outputs, but for various reasons the labeling gets messed up with my ‘personal’ project). But I’ve decided to at least start pushing some of the results live. I won’t be putting it in this space, probably razib.com. But I thought I would get your attention first. I know a lot of ID’s are missing, but I’ll add them later when I can find anything. And yes, I need to get back to African Ancestry too (that site was infested with a backdoor, so I had to yank it). This is all rather basic stuff, but I just don’t have the time to do things in a manual fashion, and the scripts I have for population sets don’t transfer over when I want to give individual friend results as well as population results.
The results in tabular format are here. And all individual results are here. In terms of the tech details, ~140,000 SNPs, ~3000 total individuals in the data set, at K = 11. I will probably be reporting K = 12 to K = 25 from now on (I’m just going to get 10> replicates and merge them).
Jump to 9:00.