Incredibly lucid and informative piece about Judea Pearl's new book by Tim Maudlin in the
The Why of the World.Theoretical computer scientist Judea Pearl has analyzed the concept of causation & argued it's indispensable in science, despite the popularity of atheoretical Big Data. Nice review by philosopher Tim Maudlin.
"Allured by the promise of Big Data, science has shortchanged causal explanation in favor of data-driven prediction. But ultimately we must ask why"
This looks like a pretty interesting book on causation. What do you think ?
All theories are fallible: the data cannot entail that the theory is correct. Some particularly sensitive souls find this epistemic gap intolerable; as a result, many sciences have recurrent movements to purge “theoretical” postulates altogether
The Why of the World -- "Allured by the promise of Big Data, science has shortchanged causal explanation in favor of data-driven prediction. But ultimately we must ask why." | via
Tim Maudlin reviews The Book of Why
The Why of the World Allured by the promise of Big Data, science has shortchanged causal explanation in favor of data-driven prediction. But ultimately we must ask why (by Tim Maudlin). (H/t )
Very good review by Tim Maudlin of Judea Pearl's last book on causal inference.
The Why of the World
Tim Maudlin on correlations and causes in the age of big data
Tim Maudlin reviews (largely favorably) Judea Pearl 's #BookofWhy in The Boston Review . "The why of the world must be deciphered if we are to understand the how of successful action."
Data may predict what will happen, but not why... Tim Maudlin ⁦
‘We live in an era that presumes Big Data to be the solution to all our problems but I hope to convince you that data are profoundly dumb. Data may help us predict what will happen but… can’t tell us why. The missing ingredient is a “model of reality”’.
Review of new book on causation. I'm reasonably familiar with the technical work under discussion here and so I would like to note (against what is implied at one point) that there is, of course, no reason at all that a positivist cannot like and use it!
“I hope with this book to convince you that data are profoundly dumb" Allured by the promise of Big Data, science has shortchanged causal explanation in favor of data-driven prediction. But ultimately we must ask why.
Fantastic Tim Maudlin on causation, big data, and and Dana Mackenzie's *Book of Why* in
Correlation? Causation? What's that? Great quick read on spurious relationships. Students #9715PhD #9424A The Why of the World
The Why of the World
Data may predict what will happen, but not why... Tim Maudlin
The Why of the World