TED Talk online dating algorithms

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Here's the talk. She pretended to be the kind of men she would want to date and then collected data on the kind of women who interacted with the fake profile and then emulated those characteristics on her profile.

You may hate this but its interesting.

It's definitely a very calculated approach.

I don't have a problem with it necessarily, but I'll say this, and I'll try to say it without derailing the topic: You can't really have a problem with red pill, and then give this a free pass. This is pretty much exactly the same as red pill. She used data to find the most effective way to get attention online. The red pill community relies on data and evolutionary biology to find the most effective way to attract women.

As it turned out, it worked out well for her. But then we can't just keep pretending like we can't generalize or figure certain things out about how attraction works.

I guess the only problem I have, is that if the genders were reversed, this talk wouldn't be allowed on TED. I'll bet my old leather boots on that.

Good video. Gave me a good amount of insight. You should pick who you feel comfortable dating and be yourself.

Steve the IT guy though.

Well, actually, what she says makes sense, at least fo rme...

That's why the Jews rule the world.

My understanding of the talk was slightly different, it seemed to me that there were two major criteria in her successful outcome:

1. Find out what you like and what you want.
2. Find out what the people/person you like might like and see if you can meet those criteria.

In her case, she seems to have put alot of effort into finding out how to speak to people through a particular dating service while making sure that she still had time to do the things she enjoyed and wanted to do (i.e. she did this in addition to rather than to the exclusion of other things). It's difficult to determine how much she emulated others as I don't think she discloses, for example, her final profile. Additionally, she would have to judge, from examining any messages she recieved from her false profiles, what were 'good' and 'bad' opening messages.


I don't think that would be the case. There are plenty of legitimate, published social etc. studies on such things:

http://www.sciencedirect.com/science/article/pii/S1090513814001639