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2025-05-19 00:25:10

asyncmind on Nostr: How does the human brain normalise exponentials ? The human brain normalizes ...

How does the human brain normalise exponentials ?

The human brain normalizes exponentials poorly, but adapts with logarithmic intuition. Here's how it works:


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1. Logarithmic Perception Is Natural

Human senses—especially for sound (decibels), light (lumens), and numerosity—respond logarithmically:

Fechner's Law: Perceived intensity = k × log(stimulus)

This means we feel changes proportionally, not absolutely (e.g., +10 lumens feels the same whether it’s 10→20 or 100→200).



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2. We Normalize Exponentials by Compressing Them

Exponentials grow fast: , , etc.

The brain deals with this by mapping the exponential onto a logarithmic axis:


\log(f(x)) = x \log(2)


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3. Heuristics Help Cope with Fast Growth

Humans use rules of thumb:

“If it doubles every year, it explodes in a decade.”

“10 doublings = ~1000x growth.”


This is why many people struggle with:

Compound interest

Pandemic growth

Moore’s Law

Exponential AI capabilities



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4. Exponential Blindness

Evolution didn’t prepare us for exponential environments.

Our intuition underestimates them until it’s too late (e.g. “hockey stick” surprises).

Training, graphs, and logarithmic scales help make sense of them.



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TL;DR

The brain normalizes exponentials by compressing them into a logarithmic perception, but this creates blind spots in modern exponential contexts like finance, computing, and pandemics.

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