[0xddd]

Except there are cases where Walker went so far as to remove portions of a graph to support his argument. This kind of manipulation shouldn't be allowed to stand and it's frustrating (though not surprising) to see a book that relies on this sort of dishonesty get so much uncritical attention and praise. I can't put it any better than Andrew Gelman:

"If the data didn’t matter, then why did you include them in your damn book in the first place? If the removal of the bar from the graph didn’t matter, then why did you remove the damn bar?"

https://statmodeling.stat.columbia.edu/2020/03/24/why-we-sle...

[texascloud]

Okay, he removed the 5 hour bar. I get what the author in your link is upset about, leaving out data points. But imo that's not good enough to make me throw out all the information in that book.

It sounds like the author is upset a book about getting enough sleep is getting so much attention. If they're upset at the way Walker misrepresents information, then I'd hate to see the author's blood pressure while feverishly researching the bias of every article they come across

[0xddd]

I'm genuinely surprised someone could read that whole blog post (I'm assuming here) and come away with that conclusion. Gelman addresses this so directly in the article:

"Recall the Javert paradox. It’s completely reasonable to write about scientific misconduct, and yes sometimes we have to scream a bit to get heard over all the chatter of the scientist-as-hero press." ... "But we need real expertise, not fake expertise. I’ve said it before and I’ll say it again: Gresham, baby, Gresham. If we don’t contest the fake expertise, I’m seriously worried it will be crowding out the real stuff."

There is good research and there is bad research. The latter should not be given a pass just because all research has some amount of bias.