The reality is you can find “evidence” for almost any narrative. Limit the sample size, cherry-pick studies, etc. Systematic reviews, meta analyses, and randomized controlled trials are all susceptible to selective interpretation/narrative fallacy.
@nntaleb 1/10
Science is assumed to be “evidence-based” but that term alone doesn’t mean much. What constitutes good evidence? How is evidence being used? Is it supporting or refuting a hypothesis? Was the hypothesis and experimental design predetermined or found ex post facto?
The reality is you can find “evidence” for almost any narrative. Limit the sample size, cherry-pick studies, etc. Systematic reviews, meta analyses, and randomized controlled trials are all susceptible to selective interpretation/narrative fallacy.
At the heart of the problem is the over-reliance on simplistic statistical techniques that do little more than quantify 2 things moving together.
Take Pearson’s correlation, based on covariance. Variation can increase simultaneously across 2 variables for countless reasons, most of which are spurious. Yet this simple notion of “causality” undergirds much of scientific literature.
Information-theoretic (entropy based) approaches on the other hand can assess *general* measures of dependence. Rather than some specialized (linear) view based on concurrent variation, entropy encompasses the amount of information contained in and between variables.
If you were genuinely interested in giving the term “evidence” an authentic and reliable meaning then the methods used to underpin an assertion would be rigorous.
We wouldn’t look to conveniently simplistic methods to denote something as evidential, rather we would look for a measure capable of assessing the expected amount of information held in a random variable; there is nothing more fundamental than information.
Consider Mutual Information (MI), which quantifies the amount of information obtained about one random variable through observing another random variable. This observing of the relationship between variables is what measurement and evidence is all about.
MI determines how different joint entropy is from marginal entropies. If there is a genuine dependence between variables we would expect information gathered from all variables at once (joint) to be less than the sum of information from independent variables (marginals).
If “evidence-based” science was genuinely invested in authentic measurement it would leverage *general* measures of dependence; that demands an approach rooted in information-theory. Without entropy you’re just picking data, choosing a narrative, and calling it “evidence.”
More from Science
You May Also Like
So it's now October 10, 2018 and....Rod Rosenstein is STILL not fired.
He's STILL in charge of the Mueller investigation.
He's STILL refusing to hand over the McCabe memos.
He's STILL holding up the declassification of the #SpyGate documents & their release to the public.
I love a good cover story.......
The guy had a face-to-face with El Grande Trumpo himself on Air Force One just 2 days ago. Inside just about the most secure SCIF in the world.
And Trump came out of AF1 and gave ol' Rod a big thumbs up!
And so we're right back to 'that dirty rat Rosenstein!' 2 days later.
At this point it's clear some members of Congress are either in on this and helping the cover story or they haven't got a clue and are out in the cold.
Note the conflicting stories about 'Rosenstein cancelled meeting with Congress on Oct 11!"
First, rumors surfaced of a scheduled meeting on Oct. 11 between Rosenstein & members of Congress, and Rosenstein just cancelled it.
He's STILL in charge of the Mueller investigation.
He's STILL refusing to hand over the McCabe memos.
He's STILL holding up the declassification of the #SpyGate documents & their release to the public.
I love a good cover story.......
The guy had a face-to-face with El Grande Trumpo himself on Air Force One just 2 days ago. Inside just about the most secure SCIF in the world.
And Trump came out of AF1 and gave ol' Rod a big thumbs up!
And so we're right back to 'that dirty rat Rosenstein!' 2 days later.
At this point it's clear some members of Congress are either in on this and helping the cover story or they haven't got a clue and are out in the cold.
Note the conflicting stories about 'Rosenstein cancelled meeting with Congress on Oct 11!"
First, rumors surfaced of a scheduled meeting on Oct. 11 between Rosenstein & members of Congress, and Rosenstein just cancelled it.
Rep. Andy Biggs and Rep. Matt Gaetz say DAG Rod Rosenstein cancelled an Oct. 11 appearance before the judiciary and oversight committees. They are now calling for a subpoena. pic.twitter.com/TknVHKjXtd
— Ivan Pentchoukov \U0001f1fa\U0001f1f8 (@IvanPentchoukov) October 10, 2018