Wrong on an Astronomical Scale

August 20, 2017
By

(This article was first published on Mad (Data) Scientist, and kindly contributed to R-bloggers)

I recently posted an update regarding our R package revisit, aimed at partially remedying the reproducibility crisis, both in the sense of (a) providing transparency to data analyses and (b) flagging possible statistical errors, including misuse of significance testing.

One person commented to me that it may not be important for the package to include warnings about significance testing. I replied that on the contrary, such problems are by far the most common in all of statistics. Today I found an especially egregious case in point, not only because of the errors themselves but even more so because of the shockingly high mathematical sophistication of the culprits.

This fiasco occurs in the article, “Gravitational Waves and Their Mathematics” in the August 2017 issue of the Notices of the AMS, by mathematics and physics professors Lydia Bieri, David Garfinkle and Nicolás Yunes. In describing the results of a dramatic experiment claimed to show the existence of gravitational wages, the authors state,

…the aLIGO detectors recorded the interference pattern associated with a gravitational wave produced in the merger of two black holes 1.3 billion light years away. The signal was so loud (relative to the level of the noise) that the probability that the recorded event was a gravitational wave was much larger than 5?, meaning that the probability of a false alarm was much smaller than 10-7.

Of course, in that second sentence, the second half is (or at least reads as) the all-too-common error of interpreting a p-value as the probability that the null hypothesis is correct. But that first half (probability of a gravitational wage was much larger than 5?) is quite an “innovation” in the World of Statistical Errors. Actually, it may be a challenge to incorporate a warning for this kind of error in revisit. ?

I suppose the confirmation of the existence of gravitational waves is otherwise sound, but one does have to wonder if other parts of the experiment and analysis were similarly sloppy. This is reminiscent of some controversy over the confirmation of the existence of the Higgs Boson; I actually may disagree there, but it again shows that, at the least, physicists should stop treating statistics as not worth the effort needed for useful insight.

 

To leave a comment for the author, please follow the link and comment on their blog: Mad (Data) Scientist.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)