The Soulmate Equation

Looking up to confirm David’s office door was closed, she quickly took a picture. She knew she shouldn’t; it might have even been illegal—besides, she could just ask River for a copy of it anyway. But Jess knew she’d want to look at it again and again. Flipping through, she began snapping photos of every page, rows upon rows upon rows of data. Each one had a few values circled, annotated, called out—she guessed—for being totally fucking awesome.

Maybe she’d frame this for him as a gift at some point.

Maybe they’d each pick their favorite gene and get that value tattooed.

Maybe she was starting to sound like one of Fizzy’s heroines right now and should probably shut the hell up.

Grinning like an idiot, Jess flipped to the next page, ready to snap a picture, but stopped. This next set of data was from their first DNADuo assay, the one from her spit kit. In this stack, some cells were circled in pencil and some notes were scribbled in the margins, barely legible. Jess marveled that their data had been pored over like this. Her soaring-soundtrack brain sang that their data might even unlock larger truths about love and emotional connection.

And there was still more. Jess flipped more pages, expecting notes and correspondence, but she found another first page. A duplicate? No. It was a different first page—someone else’s—from an assay run in 2014.

Client 05954

Client 05955

Compatibility quotient: 93

This must be David’s Diamond Match pile, Jess assumed. But her brain tripped over a coincidence in the upper right corner. She flipped between this one and her and River’s top sheet, comparing.

The assay dates were different in all three cases, but the assay end time was exactly the same.

Every time.

Jess blinked, tilting gently toward uneasy, flipping back to their first pages to confirm. Yes: for all three assays, the run time ended at 15:45:23.

Her stomach tightened. Statistically, that was … deeply unlikely. Out of 86,400 seconds in each twenty-four hours, there was only a 0.0012 percent chance of two events landing on the same second. Even if Jess assumed the assays were usually started and finished at roughly the same time—say within the same four-hour window—that was still only a likelihood of 0.007 percent, or a 7 out of 100,000 chance, that Jess and River’s assay and another assay completed on a different day would have finished at the exact same time. But all three? It was nearly impossible. The chances—Jess closed her eyes to do the math—of three assays randomly ending at the same exact second on different days were roughly 1 in 2.5 million.

Jess tried to think logically. She pushed back the roaring in her ears. Maybe the machines were programmed to begin and end at the same time to reduce certain variables? It wouldn’t be unheard of.

Except on January 29, River had started the assay almost immediately after taking her blood. In fact, he’d double-gloved and rolled up to the fume hood before she’d even left the room. The following morning, he’d texted her, asking for a date, and said the test had been confirmed. But although the date on the printout was right, how was it possible River had the data in the morning if the assay wasn’t complete until 3:45 that afternoon? Did he lie to her that he’d gotten the confirmation? That didn’t sound like River.

“What the fuck?” Jess exhaled the words, confused. I have … I have to be missing something.

Her lungs hurt. Her stomach rolled. Her eyes burned from the strain of her intense focus. She couldn’t blink. And then—her heart seemed to fill with needles—Jess noticed that all three assays were run on the DNADuo 2. She remembered seeing the two machines the night he ran the blood samples and asking about them.

“Are those the DNADuos?”

“Creatively named DNADuo One and DNADuo Two. DNADuo Two is down right now. Getting serviced next week. It’ll be up and running by May, I hope.”

A thought crashed into her head. She was frantic now. Flipping through the respective pages on the two data sets, she scanned down the columns on the two pieces of paper. She tried to find differences in the data sets between her and River’s ninety-eight, and this other couple’s ninety-three.

She couldn’t; they were identical. Every value—as far as she could tell—was exactly the same. It all went blurry the harder she stared. It was too many rows. Too many tiny numbers. It would be like looking for a needle in a haystack while her hair and the haystack were both on fire. And, she thought desperately, for scores this high, maybe most of the raw scores would be identical? What was she missing?

With dread sinking in her chest, Jess registered that the circled numbers on their first data sheet were circled for a reason. Her gaze slid to a penciled oval on the original spreadsheet from January 19.