Delusion Calculator Female

Female Standards & Reality Calculator

4′ 5′ 6′ 0″ 1″ 2″ 3″ 4″ 5″ 6″ 7″ 8″ 9″ 10″ 11″
Yes (Show only Single/Divorced) No (Include everyone)

Market Reality Score

0%

Understanding the Female Delusion Calculator

The "Female Delusion Calculator" has become a viral sensation on social media platforms, designed to compare personal relationship standards with actual demographic data. By utilizing statistical distributions from sources like the US Census Bureau and the CDC, this tool estimates the percentage of the male population that meets specific criteria regarding height, income, and marital status.

How the Calculation Works

The probability of finding a man who meets all your criteria is calculated using a multi-factor probability model:

  • Height Probability: Male height follows a normal distribution (Bell Curve) with an average of approximately 5'9″ and a standard deviation of 3 inches. Men 6 feet and taller represent only about 14.5% of the US population.
  • Income Probability: Wealth is distributed according to a log-normal curve. While a $100,000 salary is a common "standard," only about 10-12% of individuals in the US earn this amount.
  • Marital Status: Depending on the age range, a significant portion of the population is already married or in committed relationships.

Realistic Examples

To put things into perspective, consider these common search parameters:

  1. The "Standard" Choice: A man between 25-35, over 6'0″ tall, earning over $80,000. In most major US cities, this represents less than 2% of the total male population.
  2. The "High Earner": A man earning over $150,000 regardless of height. Statistically, this represents roughly 3-5% of the population depending on the specific age bracket.

Why Use This Tool?

The goal of this calculator isn't to discourage dating, but rather to provide a quantitative look at "The Dating Market." It helps users understand which of their preferences are most restrictive. For instance, increasing your age range or slightly adjusting height expectations can often triple or quadruple the pool of eligible candidates.

function calculateReality() { var feet = parseInt(document.getElementById("minHeightFeet").value); var inches = parseInt(document.getElementById("minHeightInches").value); var minIncome = parseFloat(document.getElementById("minIncome").value); var ageMin = parseInt(document.getElementById("ageMin").value); var ageMax = parseInt(document.getElementById("ageMax").value); var excludeMarried = parseInt(document.getElementById("excludeMarried").value); // 1. Height Probability (Normal Distribution Approximation) // Avg height 69.1 inches, SD 2.9 inches var totalInches = (feet * 12) + inches; var zScore = (totalInches – 69.1) / 2.9; // Approximation of the Error Function (erf) for normal distribution function getZPercent(z) { if (z 6.5) return 1.0; var factK = 1; var sum = 0; var term = 1; var k = 0; var loopStop = Math.exp(-0.5 * z * z) * 0.3989422804; while (Math.abs(term) > 0.0000000001) { term = (Math.pow(z, k) / factK); sum += term; k++; factK *= k; } // Simplified sigmoid approximation for faster calc return 1 / (1 + Math.exp(-0.07056 * Math.pow(z, 3) – 1.5976 * z)); } var heightProb = 1 – getZPercent(zScore); // 2. Income Probability (Simplified Log-Normal Distribution for US) // Median ~45k, Top 10% ~120k var incomeProb = 1.0; if (minIncome <= 20000) incomeProb = 0.85; else if (minIncome <= 40000) incomeProb = 0.60; else if (minIncome <= 60000) incomeProb = 0.40; else if (minIncome <= 80000) incomeProb = 0.25; else if (minIncome <= 100000) incomeProb = 0.15; else if (minIncome <= 150000) incomeProb = 0.06; else if (minIncome 0.6) ageProb = 0.6; // Cap it if (ageProb 100) finalProb = 99.9; if (finalProb 10) { verdictText = "Reality Check: Your standards are very grounded!"; verdictColor = "#27ae60"; } else if (finalProb > 2) { verdictText = "Reality Check: Your standards are selective but achievable."; verdictColor = "#f39c12"; } else if (finalProb > 0.5) { verdictText = "Reality Check: You are looking for a 'Unicorn'. Good luck!"; verdictColor = "#e67e22"; } else { verdictText = "Delusion Alert: Your standards are statistically nearly impossible."; verdictColor = "#e74c3c"; } percentDiv.style.color = verdictColor; verdict.innerText = verdictText; breakdown.innerHTML = "Statistical Breakdown:" + "• Men meeting height criteria: " + (heightProb * 100).toFixed(1) + "%" + "• Men meeting income criteria: " + (incomeProb * 100).toFixed(1) + "%" + "• Men in your age/marital pool: " + (ageProb * maritalProb * 100).toFixed(1) + "%" + "*Calculated based on normalized US Census and CDC data estimates."; display.scrollIntoView({ behavior: 'smooth' }); }

Leave a Reply

Your email address will not be published. Required fields are marked *