Dive deep into our exhaustive analysis of Elon Musk's estimated IQ. Unlike generic IQ estimations available online, our insights on Elon Musk's intelligence are rooted in systematic statistical evaluations, underpinned by leading academic research. Explore our detailed calculations and statistical methodologies below to better understand the genius of Elon Musk, a paramount figure in today's technological renaissance.
Note: We don't have Elon Musk's SAT scores, so we're using the scores of UPenn and physics major students as proxies. Please treat this as a rough estimation.
First, we calculate the percentile of an average physics major student's IQ in a population of all students. Assuming that the IQ scores are normally distributed, we use the Z-score formula to find the percentile. Z = (X - μ) / σ = (133 - 115) / 15 ≈ 1.2.
Next, we assume that the IQ of an average physics student at UPenn is at the same percentile (88th) in the distribution of all UPenn students. To find the corresponding IQ, we reverse the Z-score calculation, using the average IQ of UPenn students (142) as the mean. X = μ + Z * σ = 142 + 1.2 * 15 ≈ 160.
Finally, we add a range to account for the fact that SAT scores and IQ have a correlation of 0.8, not 1. This means that 20% of the variation in IQ isn't explained by SAT scores. Assuming that this unexplained variation is normally distributed, we estimate a 95% confidence interval around our estimate. For a normal distribution, 95% of values lie within 1.96 standard deviations of the mean. Therefore, the 95% confidence interval is 160 ± (1.96 * 3) ≈ 160 ± 6.
So, we'd estimate that Elon Musk's IQ is around 160, with a 95% confidence interval of 154 to 166.