Fast to the wrong answer is not a good business or scientific strategy. Slow, but rigorous, analysis does not meet business or scientific needs either. It has to be "and."
No. 18: Analytics, Fast and Slow
Tag: data science
No. 17: Analytics, Data Science and Statistics – A Rose by Any Other Name …
There is a lot of confusion over what data science is and how it is the same or different from statistics or other data analytic fields such as epidemiology or econometrics. This is my attempt to describe the "big tent" of Analytics.
No. 13: Unconsciously Biased and Consciously Unbiased
Implicit models in the back of our minds can creep into explicit models creating biased predictions that have societal implications.
No. 4: We Won’t Get Fooled Again … or Will We?
What if AI in healthcare is the next asbestos?
No. 3: What Might Be
It is easy to get an answer; it is very difficult to assess the quality of that answer.
No. 2: Association, Correlation and Causation
Protect yourself from polio ... don't eat ice cream!
No. 1: Introduction – Welcome to Analytix Thinking
Welcome to the Analytix Thinking blog! The blog that is intended to help people think rightly about data and deciding what is true. First, the intended audience is those who are analytically/quantitatively minded, but the exposition is also meant to be consumable by those who are curious about such matters, but without formal mathematical, statistical … Continue reading No. 1: Introduction – Welcome to Analytix Thinking
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