👓 The Marshmallow Test: What Does It Really Measure? | The Atlantic

Read Why Rich Kids Are So Good at the Marshmallow Test (The Atlantic)
Affluence—not willpower—seems to be what’s behind some kids' capacity to delay gratification.
I think I’ve read about the Marshmallow Test about 10 times in the past year and in no source did it manage to mention the miniscule or highly biased sample of the original study.

👓 Sliced And Diced: The Inside Story Of How An Ivy League Food Scientist Turned Shoddy Data Into Viral Studies | Buzzfeed

Read Sliced And Diced: The Inside Story Of How An Ivy League Food Scientist Turned Shoddy Data Into Viral Studies by Stephanie M. Lee (BuzzFeed)
Brian Wansink won fame, funding, and influence for his science-backed advice on healthy eating. Now, emails show how the Cornell professor and his colleagues have hacked and massaged low-quality data into headline-friendly studies to “go virally big time.”
This article is painful to read and has some serious implications for both science in general and the issue of repeat-ability. I suspect that this is an easily caught flagrant case and that it probably only scratches the surface. The increased competition in research and the academy is sure to create more cases of this in the future.

We really need people to begin publishing their negative results and doing a better job on understanding and practicing statistics. Science is already not “believed” by far too many in the United States, we really don’t need bad actors like this eroding the solid foundations we’ve otherwise built.

👓 Big names in statistics want to shake up much-maligned P value | Nature

Read Big names in statistics want to shake up much-maligned P value by Dalmeet Singh Chawla (Nature)
One of scientists’ favourite statistics — the P value — should face tougher standards, say leading researchers.
The related articles listed at the bottom, many of which I’d previously read, also give some great additional background.

The Decline Effect and the Scientific Method | The New Yorker

Read The Truth Wears Off: Is there something wrong with the scientific method? by Jonah Lehrer (The New Yorker)
Is there something wrong with the scientific method?
 
Jonah Lehrer’s New Yorker article “The Truth Wears Off: Is there something wrong with the scientific method?” is an interesting must-read article. In it he discusses the “Decline Effect” and outlier statistical effects within scientific research.

Among other interesting observations in it, he calls attention to the fact that, “according to the journal Nature, a third of all studies never even get cited, let alone repeated.”

For scholars of Fisher, Popper, and Kuhn, some of this discussion won’t be quite so novel, but for anyone designing scientific experiments, the effects discussed here are certainly worthy of notice and further study and scrutiny.