METHODOLOGY &
DATA TRANSPARENCY
HOW WE QUANTIFY THE ABSURD
The Absurdity Index quantifies the absurdity of modern existence through rigorous data collection and transparent methodology. All data sources, calculations, and sampling methods are documented below.
Core Principles
Objectivity
Data is collected from official sources (BLS, Census, BTS, FRED, CFPB) and public platforms without cherry-picking. All sampling is systematic and documented.
Transparency
Every data source is cited. All formulas are public. Sample sizes and collection methods are disclosed. Limitations and data gaps are acknowledged.
Reproducibility
All data collection scripts are available. Anyone can verify the results by following the same methodology.
Statistical Rigor
Sample sizes meet research standards (minimum 100-200 per category). Multiple platforms are sampled to avoid single-source bias.
Data Sources by Metric
AI Psychosis
YouTube: 141 videos analyzing AI companion usage and addiction
Reddit: 145 posts from r/replika, r/CharacterAI, r/ChatGPT
TikTok: 98 videos via YouTube compilations
Hacker News: 124 stories about AI risks and companion addiction
Layoff Watch
Layoffs.fyi: Tech layoff tracking data
YouTube: 53 videos about layoffs and job search struggles
Reddit: 297 posts from r/jobs, r/careerguidance, r/cscareerquestions, r/Layoffs
Hacker News: 153 stories about tech layoffs and job market
Housing Despair
Redfin: Median home price tracking
Zillow Rent Index: National median rent trends
Census Bureau: Rent burden data by generation
YouTube: 108 videos about housing crisis and homeownership despair
Reddit: 177 posts from r/FirstTimeHomeBuyer, r/RealEstate, r/povertyfinance
Hacker News: 86 stories about housing affordability crisis
CFPB: 100 complaints (mortgages, housing finance)
What Healthcare?
KFF (Kaiser Family Foundation): Premium increase data, coverage statistics, uninsured rate
U.S. Census Bureau: Medical debt and bankruptcy statistics
JAMA Network: Claim denial rates and prior authorization burden research
YouTube: 158 videos analyzing healthcare system failures
Reddit: 127 posts from r/HealthInsurance, r/povertyfinance, r/Insurance
TikTok: 84 videos via YouTube compilations
CFPB: 100 complaints (medical debt, billing disputes)
Subscription Overload
Consumer Reports: Average subscriptions per household, spending trends
Streaming service pricing data: All major platforms tracked
Industry reports: Annual subscription price increase trends
YouTube: 160 videos analyzing subscription fatigue
Hacker News: 136 stories about subscription fatigue and pricing
TikTok: 4 videos via YouTube compilations
Reddit: 128 posts from r/Frugal, r/personalfinance, r/povertyfinance
Wage Stagnation
BLS Employment Cost Index: Real wage growth data
AFL-CIO CEO Pay Database: CEO-to-worker pay ratio tracking
YouTube: 93 videos about wage stagnation and financial stress
Reddit: 217 posts from r/antiwork, r/WorkReform, r/povertyfinance
Hacker News: 34 stories about wage stagnation and financial stress
Airline Chaos
Bureau of Transportation Statistics: Flight delay and cancellation rates
ACSI satisfaction scores: Airline service quality tracking
FAA safety incident data: Emergency landings, equipment failures
YouTube: 105 videos about airline chaos and travel nightmares
Reddit: 182 posts from r/travel, r/flights, r/delta, r/americanairlines
Dating App Despair
Pew Research: Dating app frustration and burnout survey data
YouTube: 100 videos about dating app burnout and despair
Reddit: 170 posts from r/dating, r/Tinder, r/Bumble
Sample Size Standards
| METRIC | YOUTUBE | OTHER | TOTAL | |
|---|---|---|---|---|
| AI PSYCHOSIS | 141 | 145 | 222 | 508 |
| LAYOFF WATCH | 53 | 297 | 153 | 503 |
| HOUSING DESPAIR | 108 | 177 | 186 | 486 |
| WHAT HEALTHCARE? | 158 | 127 | 184 | 469 |
| SUBSCRIPTION OVERLOAD | 160 | 128 | 140 | 424 |
| WAGE STAGNATION | 93 | 217 | 34 | 344 |
| AIRLINE CHAOS | 105 | 182 | 0 | 287 |
| DATING APP DESPAIR | 100 | 170 | 0 | 285 |
| TOTAL | 918 | 1,443 | 919 | 3,306 |
OTHER includes TikTok, Hacker News, CFPB complaints, and Bluesky where available per metric.
Bias Mitigation
Data is collected from up to 7 platforms (YouTube, Reddit, TikTok, Hacker News, CFPB, Bluesky, and FRED) to avoid single-source bias. Content is sampled systematically via keyword search, not cherry-picked. Keyword-based severity categorization reduces subjective judgment.
Government and industry data provides the foundation (40% weight). Social sentiment data spans multiple platform demographics. Incomplete metrics are clearly labeled with collection percentages.
Update Schedule
Weekly (Automated)
YouTube, TikTok, Hacker News, CFPB complaints, Bluesky. Scores recalculated and dashboard updated automatically every Monday.
Periodic (Manual)
Reddit collection (blocked from CI, run locally). FRED economic data (wage growth, housing prices, unemployment claims). Official score baselines.
LAST DATA: MAR 2026 | AUTOMATED WEEKLY PIPELINE VIA GITHUB ACTIONS
Limitations & Ethics
This dashboard quantifies cultural sentiment and economic trends, not clinical diagnoses or policy recommendations.
Platform demographics skew young and online. Social media users don't represent the general population. People experiencing crisis are more likely to post about it, creating self-selection bias. Hacker News skews toward tech workers. CFPB complaints skew toward motivated filers.
Some metrics are preliminary and require more research. Scores are relative indicators, not absolute measures. All data is collected from public sources only.
LAST UPDATED: MAR 2026 | 3,306 TOTAL DATA POINTS
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