A LITTLE CURIOSITY. A VERY SPECIFIC GRAPH.

Has she been with
bigger?

Your overthinking.
Now in two dimensions.

Length. Girth. What women chose in a study.
And a hypothetical ex or ten.

Okay, let’s plot this ↓

02 / THE BIGGER PICTURE

The preference map.

60 women
33 model choices
Length × girth map. The selections and simulated coordinates are also available in the tables below.
STUDY-CHOICE CONCENTRATIONRelative scale
Lowest concentrationHighest concentration in this view
Women’s selectionsSimulated partnersYouOutside study range · unscored

Smoothed study choices. The 0–100 scale is relative within this view, not a satisfaction percentage.

Explore the study now. Add your measurements to see yourself and a simulated lineup.

Women’s preferences · Prause et al. (2015). Individual tastes vary.

Tap a point for its measurements, or open the data tables below.

The actual selections & simulated coordinates

Long-term choices · 60 participants

Only selected models appear. Unlisted sizes may not have been offered. A blank area does not mean “disliked.”

Observed preference frequencies
LengthGirthSelections

One simulated lineup

Enter your measurements and a count to generate a scenario.

Simulated partner coordinates, not known measurements
Fictional nameLengthGirthMap score

THE RECEIPTS

Playful question.
Actual research.

The preferences are observed.
The past partners are simulated.
Your partner still gets the final word.

Read the full methodology ↗
What did women actually choose?

Prause et al. (2015) recruited 75 women and offered 33 physical models. We plot the 60 participants who answered both context questions. The average choices were about 6.33 × 4.79 inches for long-term and 6.41 × 4.97 inches for one night (length × circumference).

This small California sample describes those participants’ selections. It isn’t a satisfaction score or a universal ideal.

Study ↗ · Original data & questionnaire ↗
How do you estimate other partners?

Your count sets the number of dots. Each dot gets a simulated length and girth from a model using Veale et al.’s 2015 averages and individual standard deviations. The default treats the two dimensions as independent; explore other assumed correlations above.

Redrawing shows another equally possible sample. It doesn’t change the analytical odds. Neither the count nor the simulation can identify someone’s actual past partners.

Measurement reference ↗
What if my partner isn’t a woman?

The question and copy adapt to your partner. The preference layer still shows women’s study responses; we don’t relabel them as men’s or nonbinary people’s preferences. Turn that layer off to focus on you and the simulated lineup.

Pronouns don’t determine anatomy, taste, or dating history. The count is yours to set.

Does a warmer spot mean better sex?

It means more study choices nearby. The heat view smooths the observed selections; the exact view shows their true coordinates and counts. Participants chose from 33 models, so this is an incomplete map of possible preferences.

The study measured model choices, not your compatibility, skill, or how much someone wants you.