this post was submitted on 21 Dec 2024
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Science Memes

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[–] [email protected] 28 points 2 days ago

Given P(she smiles at you | she likes you) is approximately 1

Assuming P(she likes you) > 0

Then we can sub into

P(she likes you | she smiles at u) = (P(she smiles at you | she likes you) * P(she likes you))/P(she smiles in general)

To get P(she likes you | she smiles at u) = x/P(she smiles in general)

Where x is some number between 0 and 1

Therefore we can conclude the more she smiles the less likely its cos she likes you. Therefore find the oens who dont smile and get em to smile. Therefore bigtiddygothgf.

[–] [email protected] 33 points 3 days ago (1 children)

unfortunately, P(she likes you) ≈ 0

[–] technojamin 13 points 2 days ago

So you’re saying there’s a chance?

[–] [email protected] 13 points 3 days ago (1 children)

Nice, we can also assume that P(she smiles at you | she likes you) is approximately 1, simplifying to only 2 variables, and also substitute P(you are likable) for P(she likes you) to remove all unknowns.

[–] [email protected] 10 points 2 days ago (1 children)

and also substitute P(you are likable) for P(she likes you)

That seems like a pretty wild leap of logic. Being likeable in general isn't a substitute for a specific person liking you. Though there's probably a correlation related to your overall "likeability score".

[–] [email protected] 2 points 2 days ago

So you're saying further research is needed to constrain P(she likes you|you are likeable)?

[–] [email protected] 8 points 3 days ago

Damn you priors

[–] [email protected] 5 points 3 days ago

So lowest denominator possible (rarely smiles)?

[–] LovableSidekick 3 points 2 days ago

I'd be a lot less confused by a Venn diagram.