Uncorrelated is an ideal. My ambition is for each post to be as distinct as possible, hence uncorrelated. I may not live up to this, but at least we can try to keep it interesting.

My interests include but are not limited to dysgenics, forecasting, machine learning, statistics, sociology, physiognomy, IQ and simulations.

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Incels Rising International Edition

Incels Rising International Edition

Common explanations for rising loneliness and incels (dating apps, smartphones, gender dynamics) should apply globally. But if the phenomenon itself doesn’t exist outside the US, these explanations become irrelevant by default - you can’t explain an effect that isn’t there. The US-specific nature of the trend invalidates all theories.
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Lessons from Forecasting Fertility

Lessons from Forecasting Fertility

The UN’s methodology to forecasting fertility has remained largely unchanged. For many countries these forecasts are consistently inaccurate. Here, we attempt to produce a successor. The results could be described as unexpected.
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Incels Rising

Incels Rising

Over the past decade there has been significant discussion on the rise of sexlessness/incels. Its reached meme proportions, with the infamous GSS plot, loved by grifters for clicks and puddle deep analysis, constantly cited as proof of a great loveless uprising. This post explores three datasets; the NSFG, YRBSS and the GSS to uncover the truth…
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