Astrology doesn’t work, but machine learning might.
Suppose you are Facebook or LinkedIn. You have a massive database of life histories. So you could probably do a decent forecast of where a 30-year-old with X job in Y city is likely to be in 5 years, using similar profiles.
Suppose you are Facebook or LinkedIn. You have a massive database of life histories. So you could probably do a decent forecast of where a 30-year-old with X job in Y city is likely to be in 5 years, using similar profiles.
There’s clearly tremendous demand for personalized forecasting.
Right now that market is mostly served by pseudoscience — but if we can replace the astrological with the logical, we might make progress.
Right now that market is mostly served by pseudoscience — but if we can replace the astrological with the logical, we might make progress.
An actionable version:
- here is a summary of all the people with life histories similar to you, but a few years older
- those who did X reported improvement in their lives
- those who did Y did not
- correlation isn’t causation, but can test to see if X has a causal effect
- here is a summary of all the people with life histories similar to you, but a few years older
- those who did X reported improvement in their lives
- those who did Y did not
- correlation isn’t causation, but can test to see if X has a causal effect
There’s a continuum between individual-level prescriptive & cohort-level descriptive analyses. Just knowing what actions correlated with life improvement for folks with similar starting conditions may be helpful. A personalized version of @tferriss’s book. amazon.com/Tools-Titans-B…
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