Statistic reasearch of online dating sediment plutonium dating

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First, what fascinated me is how the complex research with a lot of data analysis involved is confirming all the qualitative empirical observations that one can get by using service and talking to people.

Most of assumptions that I pr my friends had about Tinder are confirmed in the paper, but with lots of numbers, which could make it more credible or not really — as the research was based just in 2 locations: London and NYC which might have significant difference as the cultural context plays huge role in dating habits and strategies of users.

This is exactly the strategy which was proven by authors of the paper as well with 35% of males using this strategy frequently.

Female users on the contrary stay very picky in swiping right as they receive a lot of matches.

This is only 18% for women, suggesting that female users often wait to receive a message first.

The median delay for sending messages is just 2 minutes for men, compared to 38 minutes for women.

The interesting point is how once again it frustrates the users.

So after a while some of them start to swipe right as much as possible to first get matches with women that liked them, and then think whether it’s worth writing to them.

However rate of messages from males received by me during research (54% on average) was much higher than the average of 7% showed in the paper.

It is interesting that recently I’ve been observing lower matching rate and have to make new research =)Very interesting finding is that of distribution of matches during the day demonstrating Tinder users active hours: The peaks here correlate with daily commute hours which automatically provides insights on user location in the transport and therefor some geography of Tinder use not being related to more regular points of encounter like bars and recreational spaces.

Be more clear about your intents (if you have them clear for yourself at all) — this will help to avoid frustrating communication for both parties4.

Have better photos — assumption based on the news about Tinder rankings and claimed by some users ttying changing their pics — if more people like your profile you get showed to the better profiles!

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