import numpy as np
from scipy import stats

# days until the move: 29
# days until the dumping: 0

def rebound_odds(prior=0.03):
    """Bayesian update after
    one (1) fake kiss."""
    likelihood = stats.norm.pdf(
        chemistry, loc=0, scale=1)
    return prior * likelihood / evidence

benefit = np.inf
effort  = 1.0
assert benefit / effort > 1  # Lars, eventually

for night in range(one_bed):
    proximity += 1
    denial    -= 1

import numpy as np
from scipy import stats

# days until the move: 29
# days until the dumping: 0

def rebound_odds(prior=0.03):
    """Bayesian update after
    one (1) fake kiss."""
    likelihood = stats.norm.pdf(
        chemistry, loc=0, scale=1)
    return prior * likelihood / evidence

benefit = np.inf
effort  = 1.0
assert benefit / effort > 1  # Lars, eventually

for night in range(one_bed):
    proximity += 1
    denial    -= 1

// The Statistically Unlikely Series #1

Daisy & Lars

The Statistically Unlikely Rebound

Release Date: February 14th, 2026

Two fake-dating mathematicians create all kinds of chemistry in this forced proximity nerdy & spicy romance for fans of Ali Hazelwood and Abby Jimenez.

Buy now: Amazon kindleunlimited

Also onAudiobook Goodreads

Bonus content

Dear Reader: If you would like to read the UN-romantic short story that explains more about who Christine is, that’s available here. Note that earlier versions of the book show Christine and Ethan having a son, Elijah. In my head canon, it was always a daughter, Hannah. And here is Christine’s letter to her daughter, explaining… her actions.

Christine's story & her letter to Hannah

fake datingstem romancehe falls firsta grad or die romance The Statistically Unlikely Rebound cover

Just 29 days before she's set to move across the country to reunite with her fiancé Ethan, mathematician Daisy Zhang-Wainwright is unceremoniously dumped.

But Daisy’s not about to turn down a postdoc at MIT over a guy. So, despite her dumpster fire of a bank account, she finds a last-minute apartment (reasonably priced because of ongoing construction noises) and adopts a stray dog.

The first problem?

Her new downstairs neighbor is Professor Lars Berg-Anderson, Ethan’s academic rival, infamously cold and notoriously antisocial.

The next piece of bad news?

Daisy has barely settled in when she discovers that not only is Ethan in a new relationship, it’s with Daisy’s new potential colleague… who is pregnant.

You don't need an advanced math degree to figure out that the two relationships must have overlapped.

So when the happy couple arrives at Daisy’s house-warming party, what can she do but impulsively suggest Lars kiss her?

Lars might be MIT’s ice man, but he’s also objectively hot.

Considering Daisy’s not ready for anything serious and Lars believes relationships have an “unfavorable benefit to effort ratio”, there's no way this completely for-show, utterly fake, rebound relationship could last, right?

The Statistically Unlikely Rebound is a standalone workplace romance, the first in a connected-world series. HEA guaranteed.

Meet Dr. Cindy Kay, narrator of The Statistically Unlikely Rebound audiobook. A former academic with a PhD in Comparative Literature from Purdue, she brings Daisy to life with authenticity, care and incredible nuance.