A potential big problem with placebo tests in econometrics: they’re subject to the “difference between significant and non-significant is not itself statistically significant” issue

In econometrics, or applied economics, a “placebo test” is not a comparison of a drug to a sugar pill. Rather, it’s a sort of conceptual placebo, in which you repeat your analysis using a different dataset, or a different part … Continue reading

Updated paper on ‘The difference between “significant” and “not significant” is not itself statistically significant’

Hal Stern updated our paper, ‘The difference between “significant” and “not significant” is not itself statistically significant,’ to include this example of sexual preference and birth order. Here’s the abstract of our paper: It is common to summarize statistical comparisons … Continue reading

Homosexuality and the number of older brothers and sisters, or, the difference between “significant” and “not significant” is not itself statistically significant

This paper, “Biological versus nonbiological older brothers and men’s sexual orientation,” by Anthony Bogaert, appeared recently in the Proceedings of the National Academy of Sciences and was picked up by several news organizations, including Scientific American, New Scientist, Science News, … Continue reading

The difference between “statistically significant” and “not statistically significant” is not in itself necessarily statistically significant

The difference between “statistically significant” and “not statistically significant” is not in itself necessarily statistically significant. By this, I mean more than the obvious point about arbitrary divisions, that there is essentially no difference between something significant at the 0.049 … Continue reading

Mindlessness in the interpretation of a study on mindlessness (and why you shouldn’t use the word “whom” in your dating profile)

This is a long post, so let me give you the tl;dr right away: Don’t use the word “whom” in your dating profile. OK, now for the story. Fasten your seat belts, it’s going to be a bumpy night. It … Continue reading

When Steve Bannon meets the Center for Open Science: Bad science and bad reporting combine to yield another ovulation/voting disaster

A couple of faithful correspondents pointed me to this recent article, “Fertility Fails to Predict Voter Preference for the 2020 Election: A Pre-Registered Replication of Navarrete et al. (2010).” It’s similar to other studies of ovulation and voting that we’ve … Continue reading

Hey wassup Detroit Pistons? What’s gonna happen for the rest of the season? Let’s get (kinda) Bayesian. With graphs and code (but not a lot of data; sorry):

Paul Campos points us to this discussion of the record of the Detroit professional basketball team: The Detroit Pistons broke the NBA record for most consecutive losses in a season last night, with their 27th loss in a row. . … Continue reading

thefacebook and mental health trends: Harvard and Suffolk County Community College

Multiple available measures indicate worsening mental health among US teenagers. Prominent researchers, commentators, and news sources have attributed this to effects of information and communication technologies (while not always being consistent on exactly which technologies or uses thereof). For example, … Continue reading