Lecture 12: Bayes' Rule: False Positive Paradox and Cancer Screening

This video describes Bayes’ Rule and its application to medical testing. Given the probability of a certain disease, we are given the tools to update the probability using Bayesian thinking. Base rates and conditional probability are discussed.
Section 3: Probabilities, Conditioning, and Bayesian Thinking (4/5)
This is the 12th of a total of 40 short videos, which are divided into 11 sections.
A course to learn the basic concepts and tools to help us make better decisions under uncertainty, take calculated risks, and reduce the stress and regrets that often come with decision making.
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[@mohammedaminaissou2285]

oh my god finally i can understand after watching like 100 of videos
this one was so clear thanks

[@downthecrop]

THANKSFOR THE VID

[@muhammadtalibwaseem4595]

very nice explanation and simple to understand

[@leonardyoutube3349]

Why is 9 on top of 9+99 when in fact the condition probability formula is
p(B|A)=p(AandB)/P(A)? Shouldn't 9+99 be on top? E.g. 9+99/9

[@nekomochi486]

This was especially helpful in these covid times

[@aniketmitra9271]

What is base rate?

[@leonardyoutube3349]

Base is number that succeeds the
word "of"
E.g. ___ is what % of ___ . Or the number to which a percentage is based
Rate is the decimal form of the percentage. However, I actually think the instructor intended to say " people tend to forget about the base' rate".