Since everybody in this subthread is talking about the numbers without mentioning them, from Wikipedia:
Biometric modeling revealed that, in men, genetic effects explained .34–.39 of the variance [of sexual orientation], the shared environment .00, and the individual-specific environment .61–.66 of the variance. Corresponding estimates among women were .18–.19 for genetic factors, .16–.17 for shared environmental, and .64–.66 for unique environmental factors.
Numbers like ”.34–.39″ imply great precision. In fact, that is not a confidence interval, but two point estimates based on different definitions. The 95% confidence interval does not exclude 0 genetic contribution. I’m getting this from the paper, table 1, on page 3 (77), but I find implausible the transformation of that raw data into those conclusions.
Since everybody in this subthread is talking about the numbers without mentioning them, from Wikipedia:
Numbers like ”.34–.39″ imply great precision. In fact, that is not a confidence interval, but two point estimates based on different definitions. The 95% confidence interval does not exclude 0 genetic contribution. I’m getting this from the paper, table 1, on page 3 (77), but I find implausible the transformation of that raw data into those conclusions.