
Horatio Alger
They saw deformity, I found beauty
★★★★
- Joined
- Sep 12, 2024
- Posts
- 5,379
There is when it comes to processing abstract concepts, problem solving speed, and predicting median income for an IQ cohort

Hypocrites who deny linear IQ income correlation
Evidence continues to debunk the popular idea that IQ is largely irrelevant to success above 120, and my less successful readers are going absolutely ballistic. The reason this idea is so popular (…View attachment 1436221View attachment 1436222View attachment 1436223
The relationship between IQ and median income is almost perfectly linear even up to the 150s

The incredible correlation between IQ and income (2nd edition)
In this article I summarize all I have learned to date about seven economic classes in the United States: The poorest 0.27%, the poorest 10.5%, the median American, the richest 4% , the richest 0.2…View attachment 1436219View attachment 1436220
Cognitive Z score is correlated to economic Z score (Median wealth and median IQ of each socioeconomic class correlate)
The median centibillionaire (151 IQ) is smarter than the median multi-billionaire (131 IQ) et cetera

Bill Gates vs Elon Musk: Who’s the richest living person of all time?
For one brief moment in the late 1990s, Microsoft stock reached ridiculously high levels, and the media reported that Bill Gates was worth $100 billion USD making him the World’s first centib…View attachment 1436216
170 IQ Bill Gates had a higher wealth z-score at the height of the Dot-Com Bubble in the late 1990s than 140 IQ midwit Elon Musk in the 2020s
Have you ever heard of bivariate normal distribution?
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Since the correlation between lifetime earnings and IQ is not perfect, there will always be those who over perform or underperform their predicted achievement
Have you ever heard of Bayes' theorem?
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where A and B are events and P(B)≠0.
- P(A|B) is a conditional probability: the probability of event A occurring given that B is true. It is also called the posterior probability of A given B.
- P(B|A) is also a conditional probability: the probability of event B occurring given that A is true. It can also be interpreted as the likelihood of A given a fixed B because P(B|A)=L(A|B).
- P(A) and P(B) are the probabilities of observing A and B respectively without any given conditions; they are known as the prior probability and marginal probability.