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# Why software projects take longer than you think: a statistical model

**[Erik Bernhardsson](https://daily.dev/sources/erikbernhardsson)** · 9 min read · 0 upvotes · 0 comments

## Summary

Software estimation is systematically biased because developers estimate the median completion time well, but the mean is far higher due to the log-normal distribution of actual vs. estimated time. Using empirical data, the median blowup factor is exactly 1x while the mean is 1.81x. When summing multiple tasks, high-uncertainty tasks dominate the total time — a single task with σ=2 can dwarf all others combined. Fitting a Student's t-distribution to real project data reveals that the 99th percentile blowup is 32x, and the theoretical mean blowup factor for any unknown task is actually infinite. The practical takeaway: instead of summing estimates, identify and focus on the highest-uncertainty tasks, as they will dominate delivery timelines.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://erikbern.com/2019/04/15/why-software-projects-take-longer-than-you-think-a-statistical-model.html>

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