Unsure Calculator – back-of-a-napkin probabilistic calculator
The Unsure Calculator is an online tool that lets you calculate with numbers you’re not sure about.
Unsure Calculator – back-of-a-napkin probabilistic calculator launched on April 15, 2025 with 930 votes, #2 of 7,818 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Unsure Calculator is a probabilistic calculator designed for quick, informal estimations. It allows users to input uncertain values and perform calculations with ranges rather than fixed numbers, making it useful for back-of-the-napkin math and rough planning. The tool is intended for anyone needing to work through estimates when precise data isn't available. It handles probabilistic inputs to show likely outcome ranges rather than single answers.
written from the facts on this page · September 2026
From the sources
Hi, I'm Filip, and I'd like to introduce to you an early version of an uncertainty calculator. Statistics are scary, but they don't need to be. If you allow me to simplify, the field of statistics is just saying: I'm not certain about these numbers, but I would still like to reason about them. Turns out we're unsure about a lot in our lives, but we can't just throw our arms in the air and say, well, I'm not a statistician . The idea is simple: apart from regular numbers (like 4 , 3.14 or 43942 ), you can also input ranges (like 4~6 , 3.1~3.2 or 40000~45000 ). The character between the two extremes of the range is a tilde ( ~ ), a little wave symbol. You can find it on most keyboards, but…from filiph.github.io
Does a similar job
all alternatives →
An Uncertainty Calculator2014 · ollyfg.github.io · ▲13Calculate uncertainties easily with this calculator - Just use it like a normal one!
- ATA Tool for Communicating Uncertainty2018 · uncertain.io · ▲17
Implementing Unsure Calculator in 100 lines of Haskell2025 · alt-romes.github.io · ▲5Implementing a calculator with normal ranges, embedded in Haskell, using a simplified probability monad.
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