One thing I like about this result is that it separates “the variable we expect to matter” from “the variable that actually survives measurement.”
There’s a parallel in quantitative trading. It’s very easy to build a hierarchy from theory — more precision, more parameters, a better Sharpe, a more sophisticated model — and then unconsciously treat that hierarchy as an empirical fact.
The interesting question is usually: under the conditions we actually care about, can we reliably distinguish A from B?
I’d be interested to see whether the separation between the quants becomes clearer as session length and task complexity increase. That feels like the equivalent of moving a trading model from a clean backtest into progressively less forgiving production conditions (which is kinda what I'm obsessed with).
Comments
One thing I like about this result is that it separates “the variable we expect to matter” from “the variable that actually survives measurement.”
There’s a parallel in quantitative trading. It’s very easy to build a hierarchy from theory — more precision, more parameters, a better Sharpe, a more sophisticated model — and then unconsciously treat that hierarchy as an empirical fact.
The interesting question is usually: under the conditions we actually care about, can we reliably distinguish A from B?
I’d be interested to see whether the separation between the quants becomes clearer as session length and task complexity increase. That feels like the equivalent of moving a trading model from a clean backtest into progressively less forgiving production conditions (which is kinda what I'm obsessed with).