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We actually assume uniform distributions for the inputs of the sensitivity analysis.

This tool is a standalone thing, and you're right — it's similar to TopRank. Our actual product, Causal (https://causal.app) has aspects of @RISK, but packaged in our own (non-spreadsheet) modelling paradigm.

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Nice demo! It's perhaps a little confusing if you're using uniform probability distributions for the sensitivity analysis inputs, but normal distributions for the uncertainty analysis (shown at https://causal.app/buy-to-rent).

A previous comment mentions you are using SALib in Python, which can (even if it's not documented) use normal probability distributions for the inputs: here's a notebook with an example: https://risk-engineering.org/notebook/sensitivity-analysis.h...

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