在線即時計算器 · 純前端本地秒算 · 零數據上傳

🧭 Airplane Fatal Accident Probability 計算機

專業免費的 Airplane Fatal Accident Probability 計算機。純前端本機毫秒級計算、零資料上傳、極致隱私保護。提供詳細公式推導、實例示範與常見問答。

即時推算結果 (Computed Output)
15.1471% flying once a day for the chosen period
專業公認計算模型,即時運算完畢
📜 計算歷史記錄 (試算軌跡)
尚無歷史記錄,每次點擊「計算」將在此留下試算軌跡...

What this calculator does

This tool estimates the cumulative probability of being involved in at least one fatal airplane accident if you took exactly one flight every single day for a chosen number of years. It is a pure probability calculation (the classic "at least once" rule), so the math is universal. It ships with two example per-flight rates: a "general aircraft" figure and a lower "U.S. aircraft" figure sourced from a U.S. National Transportation Safety Board (NTSB) study. You can replace either rate with your own value.

How to use it

Enter each per-flight fatal-accident probability as a percentage (for example 0.0009 means 0.0009%). Enter how many years you intend to fly daily. The calculator assumes 365 flights per year (no leap-year adjustment) and reports the probability for each rate side by side.

The formula explained

If a single flight has probability p of ending in a fatal accident, then the chance it does not is 1 - p. Over n independent flights the chance none of them is fatal is (1 - p)^n. The chance of at least one fatal flight is therefore 1 - (1 - p)^n, where n = 365 × years. We convert each percentage rate to a fraction by dividing by 100, and multiply the final result by 100 to display a percentage:

P = ≤ft(1 - (1 - p)^{365 × years}\right) × 100

Because of compounding, the result rises toward but never exceeds 100% — unlike a naive linear estimate (p × n), which wrongly surpasses 100% after enough years.

Worked example

Using the defaults: general rate 0.0009% gives p = 0.000009, and over 50 years n = 18,250 flights. Then (1 - 0.000009)^{18250} ≈ 0.8485, so the probability is about 15.15%. At the U.S. rate of 0.000034% (p = 0.00000034), the probability over the same 50 years is about 0.62%.

Documented Per-Flight Fatal-Accident Rates

Per-flight fatal-accident probability is the chance that any single departure ends in a fatal accident. It is far smaller than per-hour or lifetime figures because each flight is a discrete event. The widely cited values below are expressed both as a percentage and as a decimal fraction.

Source / scope Probability per flight (%) Decimal fraction Approx. "1 in"
U.S. major carriers (often attributed to NTSB-based analyses) 0.000034% 0.00000034 1 in ~2,940,000
General / global commercial aviation figure 0.0009% 0.000009 1 in ~111,000
Frequently quoted "1 in a million flights" benchmark 0.0001% 0.000001 1 in 1,000,000

Reported rates vary with the dataset, time window, region and how "fatal accident" is defined (any onboard fatality versus a hull loss). Use the figure that matches your region and the operator class you are evaluating; the calculator lets you enter a general rate and a U.S. rate separately.

Interpreting Your Result

The percentage this calculator returns is the output of a deliberately simple hypothetical model, not a forecast about you personally. It assumes you take exactly one flight every single day, that every flight carries the same constant per-flight risk p, and that each flight is statistically independent of the others. Real travel does none of these things consistently.

Because the flights are treated as independent trials, the chance of avoiding a fatal accident across n flights is (1-p)^{n}, and the chance of experiencing at least one is its complement, 1-(1-p)^{n}. As n grows, that complement creeps upward toward — but never actually reaches — 100%. This asymptotic behavior is pure compounding of many tiny probabilities; it does not mean an accident becomes inevitable or "overdue." Each individual flight always carries the same small p, regardless of how many safe flights came before it.

Real-world risk is not uniform. It varies by airline and its safety record, aircraft type and age, route, weather, airport, phase of flight, and the era of the data. Modern commercial aviation in well-regulated regions is among the safest forms of transportation, and headline lifetime figures are usually dominated by a handful of rare events rather than steady daily exposure. Treat the result as an illustration of how rare events accumulate over enormous numbers of trials — useful for intuition about probability, not as a personal safety prediction or a reason to change travel plans.

使用注意事項與精準校對原則(6 大核心守則)

📐 1. 嚴格對齊輸入量綱與單位

輸入各項數值時請務必確認量綱(例如小時、天數、金額、百分比),避免單位不匹配引發推算偏差。

🔒 2. 純前端本機毫秒級隱私保障

所有計算邏輯 100% 在您的終端瀏覽器內完成,資料絕不上傳伺服器,嚴格守護商業與個人隱私。

📊 3. 符合公認學術與產業計算模型

演算法嚴格遵循國際通用數學公式與標準計算模型,經多重情境交叉核對,數值嚴密精確。

📋 4. 一鍵複製與免登入 PDF 匯出

支援一鍵複製推算結果字串至剪貼簿,亦可直接點擊列印按鈕輸出純淨 PDF 工作報表。

🔄 5. 多情景敏感度動態對比

建議針對極端值與多組預期情景分別試算,觀察輸出數據的波動區間,輔助做出更穩健的決策。

🛡️ 6. 專業諮詢與日常參考免責聲明

本工具運算結果供日常排程、學業研習與事前參考之用,如涉及重大法規或投資決策請諮詢持證專家。

常見問題 (FAQ)

Why two rates?
They illustrate how a much smaller per-flight risk (the NTSB-sourced U.S. figure) translates into a far lower cumulative risk over decades.
Does it count leap years?
No — it fixes the year at 365 days to keep the model simple.
Can the result exceed 100%?
No. The compound formula asymptotically approaches 100% but never reaches or exceeds it for any finite duration.