AIDS Infection Density — Price Proxy + Cost Model

Price proxy from historical density + configurable peak MC and immunity multiplier

Token Economy

Total $AIDS Spent—

Network Spend—

Patient Zero Spend—

Patient Zero Received—

Burned (30% network)—

To Parents (50% net)—

To Grandparents (20%)—

% of Supply Spent—

USD Costs (at Peak MC)

Total USD Spent—

Avg Cost / Infection—

Median Hour Cost—

Cheapest Hour Avg—

Most Expensive Avg—

Price at Peak MC

Token Price at Peak—

Token Price at End—

Avg Token Price—

Total Infections—

Timestamped—

PZ Unmapped—

Token Supply1,000,000,000

Infections per Hour + Average Immunity Score

Green bars = infection count per hour (volume/hype). Orange line = average immunity of targets (quality/value).

Market Cap Curve + Average USD Infection Cost

Red line = market cap derived from price proxy (scaled to peak MC input). Cyan line = average USD cost to infect someone that hour (multiplier x avg_immunity x token_price). Higher MC = more expensive infections.

Infection Cost in $AIDS Tokens (per hour avg)

Cost in tokens = multiplier x immunity. This is INDEPENDENT of market cap — purely token-denominated. High-immunity targets are always more expensive in tokens regardless of price.

Token P&L — Who Made Their Money Back?

Spent = mult × sum(target immunity) for each person you infected. Received = 50% from children's infections + 20% from grandchildren's. Ratio is multiplier-independent (mult cancels out).

Total Infected Players49,100

Never Infected Anyone44,733 (91.1%)

Infected ≥1 Person2,757 (5.6%)

Broke Even or Profit121 (4.4% of infectors)

Net Losers2,636 (95.6% of infectors)

Received / Spent ratio distribution (infectors only):

0–10% back2,301 (83.5%)

10–50% back246 (8.9%)

50–100% back89 (3.2%)

100–500% (profit)95 (3.4%)

500%+ (big winner)26 (0.9%)

Median return: 0%. Mean: 23.7%. P90: 32.2%. P95: 86.6%. Max: 4,187%. The game is deeply negative-sum for most players — only tree-builders with deep chains profit.

$AIDS INFECTION COST MODEL