How to Read Your Delusion Calculator Result

A displayed result of 8% means that about eight out of every 100 people in the modeled reference population for the selected sex and age range pass the active filters under the current assumptions. It does not mean eight out of every 100 profiles you see will match, and it does not include mutual preference.

The estimate is rounded for readability. Because several inputs use fitted distributions and simplified age-band rates, extra decimal places would communicate more certainty than the model has earned.

The headcount multiplies the modeled percentage by an approximate national population in the selected age range. It is included to make a percentage easier to picture. It is not a local market size and not a count of actively dating people.

Travel distance, rural or urban location, orientation, relationship status beyond the selected marital filter, platform usage, and mutual interest are not included. Those omissions make the headcount much less actionable than it may initially appear.

The interface groups percentages into broad pool-size bands so the result can be scanned quickly. The thresholds are product choices, not categories recognized by the Census Bureau, CDC, or relationship science. A narrow modeled pool does not make a preference wrong; a broad pool does not guarantee compatibility.

Read the descriptive text and the documented assumptions, not just the color or label. The calculator is designed as a statistical gut-check, not a score of personal reasonableness.

After calculating, the filter breakdown shows modeled pass rates for height, age-conditioned income, marital status, obesity, and the selected race or ethnicity share. These values help identify which filter has the largest numerical effect.

The pass rates should not be added together, and multiplying the displayed rounded values may not reproduce the headline exactly. The implementation calculates inside age bands and retains more precision than the interface displays.

Start with your actual criteria, calculate once, then change only one filter. Record how much the percentage changes. Repeat for the next filter. This isolates sensitivity and avoids attributing the whole result to the most emotionally noticeable preference.

Finally, separate measurable filters from relationship requirements the model cannot capture: character, communication, values, chemistry, and shared plans. Those may matter more even though they cannot be converted into a defensible national percentage.