2 ms·

I don't even know what you mean by "under-powered statistical training." But about the harder sciences: when this ball got rolling, I attended a lecture of a s

by tgv 2y ago

I don't even know what you mean by "under-powered statistical training." But about the harder sciences: when this ball got rolling, I attended a lecture of a statistician, who explained that basically all genetic results preceding were likely wrong, unless they showed something like 6 sigma significance. That's because H0 is so easy to reject when you base H0 and H1 on different measurements. The result is that every theory is true.

reedf1 2y ago
Many scientists in non-mathematical fields are wrote taught "how to write a paper" in undergrad. P-values and statistical significance are taught completely devoid of context, essentially just a step in your final analysis. Many scientists perpetrating p-hacking or data dredging thought this was a process of good science, and didn't understand the axioms for which these metrics depend. This is something learning fixes, and ignorance makes worse.