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OkCupid was founded by Harvard math majors in , and it first caught daters' attention because of its computational approach to matchmaking. Members answer droves of multiple-choice survey questions on everything from politics, religion, and family to love, sex, and smartphones.

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The closer to percent—mathematical soul mate—the better. But mathematically, McKinlay's compatibility with women in Los Angeles was abysmal. OkCupid's algorithms use only the questions that both potential matches decide to answer, and the match questions McKinlay had chosen—more or less at random—had proven unpopular.

When he scrolled through his matches, fewer than women would appear above the 90 percent compatibility mark. And that was in a city containing some 2 million women approximately 80, of them on OkCupid. On a site where compatibility equals visibility, he was practically a ghost.

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He realized he'd have to boost that number. If, through statistical sampling, McKinlay could ascertain which questions mattered to the kind of women he liked, he could construct a new profile that honestly answered those questions and ignored the rest. He could match every woman in LA who might be right for him, and none that weren't. He then sorted female daters into seven clusters, like "Diverse" and "Mindful," each with distinct characteristics. Maurico Alejo. Even for a mathematician, McKinlay is unusual. Raised in a Boston suburb, he graduated from Middlebury College in with a degree in Chinese.

In August of that year he took a part-time job in New York translating Chinese into English for a company on the 91st floor of the north tower of the World Trade Center. The towers fell five weeks later. McKinlay wasn't due at the office until 2 o'clock that day. He was asleep when the first plane hit the north tower at am.

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The experience kindled his interest in applied math, ultimately inspiring him to earn a master's and then a PhD in the field. Now he'd do the same for love. First he'd need data.

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While his dissertation work continued to run on the side, he set up 12 fake OkCupid accounts and wrote a Python script to manage them. To find the survey answers, he had to do a bit of extra sleuthing. OkCupid lets users see the responses of others, but only to questions they've answered themselves.

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McKinlay watched with satisfaction as his bots purred along. Then, after about a thousand profiles were collected, he hit his first roadblock.

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OkCupid has a system in place to prevent exactly this kind of data harvesting: It can spot rapid-fire use easily. One by one, his bots started getting banned. He turned to his friend Sam Torrisi, a neuroscientist who'd recently taught McKinlay music theory in exchange for advanced math lessons.

Torrisi was also on OkCupid, and he agreed to install spyware on his computer to monitor his use of the site. With the data in hand, McKinlay programmed his bots to simulate Torrisi's click-rates and typing speed. He brought in a second computer from home and plugged it into the math department's broadband line so it could run uninterrupted 24 hours a day. After three weeks he'd harvested 6 million questions and answers from 20, women all over the country. McKinlay's dissertation was relegated to a side project as he dove into the data. He was already sleeping in his cubicle most nights.

Now he gave up his apartment entirely and moved into the dingy beige cell, laying a thin mattress across his desk when it was time to sleep. For McKinlay's plan to work, he'd have to find a pattern in the survey data—a way to roughly group the women according to their similarities. The breakthrough came when he coded up a modified Bell Labs algorithm called K-Modes. First used in to analyze diseased soybean crops, it takes categorical data and clumps it like the colored wax swimming in a Lava Lamp.

With some fine-tuning he could adjust the viscosity of the results, thinning it into a slick or coagulating it into a single, solid glob. He played with the dial and found a natural resting point where the 20, women clumped into seven statistically distinct clusters based on their questions and answers. He retasked his bots to gather another sample: 5, women in Los Angeles and San Francisco who'd logged on to OkCupid in the past month.

Another pass through K-Modes confirmed that they clustered in a similar way.

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His statistical sampling had worked. Now he just had to decide which cluster best suited him. He checked out some profiles from each. One cluster was too young, two were too old, another was too Christian. But he lingered over a cluster dominated by women in their mid-twenties who looked like indie types, musicians and artists. This was the golden cluster. The haystack in which he'd find his needle. Somewhere within, he'd find true love. Actually, a neighboring cluster looked pretty cool too—slightly older women who held professional creative jobs, like editors and designers.

He decided to go for both. He'd set up two profiles and optimize one for the A group and one for the B group. He text-mined the two clusters to learn what interested them; teaching turned out to be a popular topic, so he wrote a bio that emphasized his work as a math professor. The important part, though, would be the survey.

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He picked out the questions that were most popular with both clusters. He'd already decided he would fill out his answers honestly—he didn't want to build his future relationship on a foundation of computer-generated lies. All the warming ginger and sweet maple you can handle with sweet spice and a zesty orange zing. Sip your way into sweet salvation with these health benefiting fresh tisanes that will refresh and hydrate you. This power couple will help you rise from your slumber, and keep your energy levels and brain razor sharp throughout the day. Black tea devotees look no further for everything from light and bright infusions to breakfast blends and every kind of flavour in between.

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