Directory of date-me docs

Instead of using dating apps, some have turned to the date-me doc, which is a single, view-only page about the individual. It’s appealing, because it’s a flexible format that lets you include what you want and how you want. With the surge in interest, of course someone started to tabulate the docs.

Tags: ,

Online dating, who filters out what

With online dating apps, you’re able to filter out potential matches based on characteristics like age and height. The Economist charted who’s filtering out what.

The chart took me a second to figure out, but I think I got it. Each bubble represents a demographic group. The x-axis represents the percentage of potential matches the group filters out, and the y-axis represents a characteristic of the searching group. For example, you can see in the above that taller women filter out more people with the height filter, whereas taller men don’t filter out as much.

Tags: ,

New dating timeline

Liana Finck for Man Repeller draws out the new timeline. I’m a couple of decades removed from this timeline, but it doesn’t look very fun. I’m always down to plant some scallions though. [via swissmiss]

Tags: , ,

Shifts in How Couples Meet, Online Takes the Top

How do couples meet now and how has it changed over the years? Watch the rankings play out over six decades. Read More

How People Meet Their Partners

"So how'd you two meet?" There's always a story, but the general ways people meet are usually similar. Here are the most common. Read More

Peak Non-Creepy Dating Pool

Based on the "half-your-age-plus-seven" rule, the range of people you can date expands with age. Combine that with population counts and demographics, and you can find when your non-creepy dating pool peaks. Read More

8 years of dating as a chart

Dating record

Robin We recollected her dating record over the past eight years, and made a simple chart to show the data. Purple represents an established relationship, green represents a causal one, and black lines represent first dates. Darker shades of purple and green represent days We saw the corresponding person in real life.

The short anecdotes for each record make it.

Tags:

Mathematics of love

Mathematician Hannah Fry talks about love in terms of three "mathematically verifiable" tips: how to win at online dating, when to marry, and how to avoid divorce.

Perhaps useful for the algorithmically-inclined.

There's also a book version of Fry's talk.

Tags: , ,

Algorithmic search for a girlfriend

Sharif Corinaldi moved from New York to Berkeley for graduate school and was in search of a mate. However, after a bit of non-success with online dating sites, he figured a 0.0025 percent chance of finding a match, which meant about 400 messages sent before any success. So, he built a bot to browse and search for him. He accidentally left it running one night.

I fiddled with the model for a week, and it finally finished running late one Sunday night. Seated alone at a cold metal desk in my TA office, eagerly looking over these first results at 3am, I mouthed a silent curse under my breath. After arriving at realistic estimates for "female pickiness" (fem_Pck) and "creepiness tolerance" (creep_Tol), my model had determined I'd have to look through 600-700 profiles a night to have any hope of being exposed to Ms Right before she got fed up, burnt out and sequestered herself off in a nunnery, or at least got back with her ex. For someone who needed to spend every waking moment buried under an avalanche of quantum mechanics preprints, this wasn't going to cut it.

Disgusted, I set the model to aimlessly auto-browse profile information overnight, and left the lab. The next day I woke up and found that everything had changed.

Corinaldi has a girlfriend now, after casting a very wide net.

Kids these days.

Tags: ,

Dater’s Index

By Emily McDowell, this recounting of dates initiated by the internet is funny. Fittingly posted on Valentine's Day, a sample:

Estimated percentage of profiles containing the description "fun-loving": 80

Estimated percentage of people who do not actually love fun: 0

Estimated percentage of single people in Los Angeles who both work and play hard: 85

Estimated number of times I rewrote my profile: 7

Estimated number of times I wore the same dress on first dates: 28

Estimated number of times I switched my own “body type” check box: 12

Tags: ,