Comments by "Holger P." (@holger_p) on "Why Men Get So Few Matches on Dating Apps" video.
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@Toto-cm5ux Yes, and all numbers and assumptions were presented.
Like men swipe more easily, Women are more picky and have higher request for attracation.
It's a huge set of very simple rules.
What gives the "surprising" effect, the kind of unexplainable part, is what happens if your 20 given little rules all work together.
Simulation is to handle complexity.
The first two simulations in the video, you can still follow in mind I hope. This is predictable, this could still be covered with formulas. As more sophisticated you make your model, as less you know the results in advance.
Formulas would be like "1% of men do this, 1.5% of men do that", and they meet women who are likely to match men, attraction level 9 or 10, which only 1% of the first named 1% group of men is in this attraction level, so 0.01% get a match.
It's like enumerating 1000 single cases. (which is not very much, but may be good enough for an estimate).
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@Toto-cm5ux "normal" people would discuss the made assumptions, and not look for something like typing or programming errors.
See it like the weather forecast. You can believe it, you can verify it with reality the next day, but you cannot reproduce the forecast.
Verification is called calibration, cause everybody knows in advance, assumptions were wrong and need to be adapted.
It was explicitly said in the video "assumptions are far from reality".
If you know the output, you can guess the input, of a black math box machinery.
This is what simulation does.
The output was known in advance, we search for the input.
And since not any given formula has an inverse function, this cannot be done with formulas.
As long as you can transform y=f(x) into x=f(y) you can use formulas, if not, you have to simulate.
But even with formulas, having 1000 cases of them , is only to be done with software.
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