4 ms·
http://web.archive.org/web/20100725135317/http://blog.okcupid.com/index.php/your-looks-and-online-dating http://web.archive.org/web/20100725135317/http://blog.o
by uoaei 3y ago
http://web.archive.org/web/20100725135317/http://blog.okcupid.com/index.php/your-looks-and-online-dating http://web.archive.org/web/20100725135317/http://blog.okcupi...
I don't think you're characterizing the results accurately, particularly point #2. I don't think they really had a way to measure #3. #1 is just obviously true but doesn't add much.
- lelanthran 3y ago> I don't think you're characterizing the results accurately, particularly point #2. I don't think they really had a way to measure #3. #1 is just obviously true but doesn't add much. Maybe not, but #2 was from a blog that specifically looked at the data of messaging: how many men received messages, how many women received messages. IIRC, nearly all the women received messages and sent messages, while only about 10% of the men received messages while all of the men sent messages. I don't really see any other way to interpret data showing that both men and women sent messages at about the same rate, but only about 10% of men received any messages. Now I don't have the blog handy (and I rather wished I did), but my takeaway #3 was from reading all the blogs available, in basically one marathon sitting, not from one particular blog.
- strken 3y agoIt strikes me that if women and men sent messages in exactly the same long-tail shape of distribution, and you had a knob that controlled how frequently each sent messages, you'd be able to turn each knob until 100% of women and 10% of men received messages. This is not to say you're wrong or right, but I don't think the numbers tell us much without seeing the full distribution.