Courtship behaviors between men and women and abuses done through them

[Specter Von Baren]

Ok, guys. The 'Sexual harassment and rape allegations rapidly being fired off against various streamers' thread has been derailed, I am making this thread to try and divert the derailment to a thread designed for it.

Ok, here's a politically incorrect image with a water mark over it because I'm too lazy to find one without.

Discuss to your heart's content.

Edit: Mods have decided that this is a better place for this discussion.

 

[Houseman]

Because you are sounding like jorden peterson, you list all these problems but never give any solutions but with how you list said problems it leads the reader to seeing the solution as being something women need to do rather than men.

Isn't it okay not to have all the answers?
Isn't it enough to lay out the facts, identify the problem, and let smarter people than you come up with the solutions?

If you think that the reader is being led to believe that the solution is something that women need to do, rather than men, maybe that's not because you were tricked, or intentionally led there, maybe that's just the solution you see.

 

[Revnak]

Lol

 

[Eacaraxe]

Ok, I'll bite, I'll repost what I wrote over in the other thread.

Spoiler

ObsidianJones said:
And Amazon? They have actual metrics.

I used to work at Amazon. In ops, not corporate, but open door policy and six-sigma methodology means you have a surprising amount of information if you know where to look and who to ask. I can tell you, six degrees of separation even as I was, the data they collect and the full extent of their predictive analytics is borderline sci-fi shit. That's an article from 2014, it's been in use at the logistic level for at least that long, and they got progressively better at it in the time I was there.

All powered by data collected in-house by users' virtual catalog browsing and purchasing histories. What you refer to as "subjective" but at the same time "quantifiable", depending apparently on whether or not it suits your argument. Because the studies you're all too quick to dismiss on the part of OKC, are based on data collected from users' actual activity on the site, not surveys. Guess what, consumer purchasing habits are "subjective" in largely the same ways, boiling down to highly individualized preferences in brand, product, and specification.

If you don't think consumer (of the dating site) preferences of blond or brunette can't be quantified, tracked, and subject to predictive analytics the same as a black or red coffee machine, you ain't paying attention. It wouldn't surprise me if the predictive algorithms of a site like OKCupid are more aware of "your type" than you are.

TLDR: We're still ambulatory meat sacks and our "preference" of bit-squish partners is subject to the spectre of machine learning and predictive analytics. Woe be the day we see full integration of facial, body, and phenotype recognition software into this neo-futurist dystopian dating hellscape. No word on if and when we'll get predictive analytics for people who act like donkeys on dating sites, but probably not considering they're almost certainly the ones driving site traffic and who actually pay money for this shit.

 

[Agema]

TLDR: We're still ambulatory meat sacks and our "preference" of bit-squish partners is subject to the spectre of machine learning and predictive analytics. Woe be the day we see full integration of facial, body, and phenotype recognition software into this neo-futurist dystopian dating hellscape. No word on if and when we'll get predictive analytics for people who act like donkeys on dating sites, but probably not considering they're almost certainly the ones driving site traffic and who actually pay money for this shit.

Maybe. But considering the level of these tech giants is also that I regularly receive adverts inviting me to undertake degrees at the university I teach at, I think they've also got a long way to go before we need to start worrying.

 

[Eacaraxe]

Maybe. But considering the level of these tech giants is also that I regularly receive adverts inviting me to undertake degrees at the university I teach at, I think they've also got a long way to go before we need to start worrying.

On the other hand...geolocation's simple enough, that's a "you have an IP address" thing. Since you teach at a university your browsing, search, purchase, and social media habits are likely close enough to that of undergrad/graduate students, prospective students, or returning students that predictive advertising algorithms identify you as a target for university advertising. A "long way to go" is pretty relative, taking into consideration the level of specificity already in play.

 

[CaitSeith]

OP's image modern version:

 

[JoJo]

Moved this thread to Off-Topic as per Nick's rule, Current Events threads must have a reputable news source linked. Thanks!

 

[Specter Von Baren]

Moved this thread to Off-Topic as per Nick's rule, Current Events threads must have a reputable news source linked. Thanks!

Got it. Sorry about that. I'm sleepy headed on a lot of rules and will remember this in the future.