// DAMAGE_CLOCK — avg rate since 1637

By The Numbers

$

estimated total damage since 1637 — ticking at $248/sec

Based on 163 documented incidents spanning 745 years. Rate = total damage ÷ timespan. Recalculates with every new article. Methodology →

01. The Big Picture

163 incidents documented 1281 to 2026
745 years of documented failure oldest: Tulip Mania 1637
$3.0T total estimated damage societal cost, not just fines
$18.8B average damage per incident median is lower — outliers pull hard
15.0B people affected documented affected users across all incidents
$202.527 avg cost per affected person total damage / total affected users

02. The Nerd Stats

// BURN_RATE

$892,804.023/hour

Money burned per hour since the oldest documented incident (Tulip Mania, 1637). That's $7.8B/year averaged across 389 years of human folly.

// STACK_HEIGHT

3,318 km high

Stacked in $100 bills (0.109 mm each), the total damage would reach 3,318 km — 8.3× the distance to the ISS (400 km orbit). That's 0.0086× the distance to the Moon, or 377× the height of Everest.

// MOST_EXPENSIVE_INCIDENT

$738.5B

Chernobyl Reactor 4 Explodes During Safety Test That Had Disabled Its Safety Systems — the single most costly incident in the archive.

// MOST_EXPENSIVE_BUG_PER_CHARACTER

$195M / char

Mariner 1 (1962): a missing overbar symbol in the guidance code destroyed a $195M rocket 4 minutes after launch. One character. One rocket. Gone.

// WORLD_GDP_FRACTION

2.8% of world GDP

Total documented damage represents 2.8% of current world GDP (~$110 trillion). In other words, our archive documents enough damage to run the entire global economy for 10 days.

// ISS_FUNDING

1,015 years of ISS

The International Space Station costs ~$3 billion/year to operate. The documented damage in our archive could fund it for 1,015 years — until the year 3041.

03. The Human Cost

Financial figures dominate tech failure coverage. But some of these incidents killed people. This section documents the confirmed death toll and its theoretical long-term impact.

332,116 confirmed deaths across 19 incidents with documented fatalities
45,561,307,053,359 theoretical people who never existed generational model — see methodology below

// GENERATIONAL_LOSS_MODEL

For each incident with documented fatalities: each person who died had a line of descendants that was cut short. We model: generation length = 28 years, children per person = 2.1 (global average). For each incident, we calculate generations elapsed since the incident year, then sum the theoretical descendants across all generations. The result is a conservative estimate of people who theoretically never existed due to each incident.

This is a thought exercise, not a precise demographic projection. It is presented as a sense-of-scale metric, not a moral calculus. The goal is to make the scale of human loss harder to dismiss.

Incident Year Confirmed deaths Generations since Theoretical descendants lost
Banqiao Dam: China's "Iron Dam" Collapses and Kills 170… 1975 170,000 1 357,000
Kublai Khan’s Invasion Fleet Is Destroyed After Enginee… 1281 100,000 26 45,554,183,915,629
Somme Barrage: 1.5 Million Shells, Seven Days of Fire —… 1916 57,470 3 906,359
IJN Yamato — World's Most Powerful Battleship Sunk by A… 1945 3,056 2 19,895
Ford Pinto's Fatal Fuel Tank Could Be Fixed for $11 Per… 1978 500 1 1,050
Henry VIII Orders More Guns: The Mary Rose Is Overloade… 1545 500 17 286,763,042
The Tay Bridge Opens to National Celebration. Eighteen … 1879 75 5 5,705
De Havilland Comet: Square Windows and Metal Fatigue De… 1954 56 2 365
Total 332,116 45,561,307,053,359

Only incidents with confirmed fatality figures are included. Many more incidents caused indirect deaths not captured here. "Theoretical descendants lost" = sum(2.1n, n = 1 … generations since incident), based on a global average of 2.1 children per person and 28-year generation length.

04. Who's Responsible

Leadership attribution for incidents where the primary decision-maker is publicly identifiable. This is about power and accountability, not blame. The question is whether failure rates match leadership representation.

Of 63 attributable incidents (100 unattributed/institutional of 163 total):

Male-led
93.7% (59 incidents)
Female-led
3.2% (2 incidents)
Mixed
3.2% (2 incidents)
Expected (baseline)
83% male leadership share

93.7% of attributable fails were led by men. Given men hold ~83% of tech leadership roles (Crunchbase baseline), their “fair share” of tech fails would be 83%. They are over-represented by 10.7 percentage points.

Attribution methodology: incidents are tagged based on the primary publicly-named decision-maker at the time of the failure. Institutional/government incidents where individual leadership is unclear are excluded from the attributable count. This covers 63 of 163 incidents.

05. Context

World GDP ($110T)

Our archive = 2.8% of world GDP

ISS annual budget ($3B/yr)

Archive damage could fund the ISS for 1,015 years

Most expensive per character

$195M — Mariner 1’s missing overbar, 1962. One symbol. One lost rocket.

Burn rate since 1637

$892,804.023/hour averaged across 389 years of documented failure