Statistical Baseline

Population Size

4.1B Total Male Population Est.
1M WORLDWIDE (4.1B)

Estimated Minority Demographic

0
0%

Representative Sample Visualization

Each dot represents a statistical group in your selected model.

Historical Shift

Identity vs Behavior

Statistically, biological inclination remains relatively constant over decades. What changes is the Identity Gap—the difference between internal attraction and social identification.

Timeline Year

2024
Visible Identity
0%
The "Hidden" Gap
0%
Exclusively Hetero
0%
Cohort Analysis

The Generational Snapshot

Rather than viewing history chronologically, this chart compares living generations side-by-side in the present day. It illustrates how younger cohorts report vastly different numbers than older cohorts living in the exact same societal era.

Global Variance

The Geography of Identity

Self-reporting changes drastically based on societal acceptance and legal frameworks. This model shows how the biological baseline remains static globally, while the "Societal Stigma Multiplier" suppresses reported identity.

Deep Dive

The Kinsey Spectrum

Developed by Alfred Kinsey in 1948, the scale measures sexual behavior and orientation on a continuum from 0 (exclusively heterosexual) to 6 (exclusively homosexual). Select a point on the spectrum to view modern statistical estimations.

Interactive Spectrum

Exclusive Hetero Exclusive Homo
0

Equally Hetero & Homosexual

"True bisexual. Equal attraction to and behavior with both sexes."

Estimated Prev.
75.0%
Global Pop.
3.0B
Identity vs Practice

The Relationship Matrix

A major factor in sexuality statistics is the difference between internal identity and outward societal relationships. This flow diagram illustrates how men from the total "Non-Heterosexual" pool flow into different relationship types, highlighting the "Passing/Invisible" demographic.

Total Non-Heterosexual Pool
100%
(Kinsey 1-6 / Fluid Spectrum)
Exclusive Gay
~40%
Bisexual / Fluid
~60%
Same-Sex Partner
Highly Visible
Single
Ambiguous
Same-Sex
Visible
MAJORITY
Opp-Sex
"Invisible"
Survey Bias Simulator

The Observer Effect

In demographics, the method of observation alters the result. Social stigma causes respondents to under-report minority statuses in low-anonymity environments. Select a methodology to see how it skews the data of the exact same population.

Reported Data Outcome

Under-reporting factor 5x
Statistical Likelihood

Probability Matrix

Calculate the likelihood of finding at least one non-heterosexual individual within a specific group size based on selected rates.

50
8.0%
Formula: $P(\text{at least one}) = 1 - (1 - p)^n$
0% Likelihood
Statistically Likely

It is highly probable that at least one individual in this group falls within the non-hetero demographic.

Custom Parameters

Research Sandbox

Simulate your own distribution models for custom research needs.

5.0%
6.0%
2.0%
Resulting Straight Demographic
87.0%
Predictive Model

Generational Convergence

This projection uses a Stigma Decay Model. As Gen Z and Gen Alpha become the majority demographic, societal stigma approaches zero. We project that Visible Identity will asymptotically converge with the biological Behavior Baseline (~15%).

Target Projection Year

2024
Projected Open Identity
10.0%
+0.0% from 2024
Remaining Hidden Gap
5.0%
Approaching theoretical zero