## [YouTube] Fooled by Metrics (Correlation)

A maximally simplified presentation of how metrics are random variables, and how they can be gamed. Uncorrelated variables will produce a correlation in samples.

## [YouTube] Correlation: The Intuition (Doesn’t mean what people usually think it means)

A maximally intuitive presentation on what correlation is not, with maximally simplified concepts. [Note that I improvise 100% and I don’t prepare] There is a more technical lecture to come.

The technical paper is here: Fooled by Correlation: Common Misinterpretations in Social “Science”

## [YouTube] Breaking down Intuitively the Concept of Standard Deviation

SIMPLIFIED TUTORIAL, 1 (in the series where we break down concepts intuitively):
Before we talk about correlation, let’s discuss standard deviation, its analog in dimension 1. People don’t get while using it as a metric for deviation!

See the whole book (gets technical beyond Chapter 5)

## [YouTube] Correlation measures are misused in the presence of nonlinearities

A VERY SIMPLIFIED TUTORIAL (VERY SHORT)
Correlation measures are misused in the presence of nonlinearities.

(How a measure of unintelligence can give the illusion of high correlation with performance.)

Correlation measures are not supposed to be used in the presence of nonlinearities. When 2 variables correlate half the time (in a symmetric way around the mean), correlation will not be 50% but will show ~90%. Part of debunking IQ studies. If IQ works for disabilities but does not correlate with success, there is an illusion of correlation because of the biases in the metric.

## Correlation is not Additive with Some Consequences for Subsamples

How the correlation of subsections will be lower than the total (in absolute value). With implications for “empirical” research.