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Uncertain<T>
GPS coordinates aren’t exact. Sensor readings have noise. User behavior is probabilistic. Yet we write code that pretends uncertainty doesn’t exist, forcing messy real-world data through clean Boolean logic.
The library uses Sequential Probability Ratio Testing (SPRT) to efficiently determine how many samples are needed — maybe a few dozen times for simple comparisons, scaling up automatically for complex calculations. Before we dive deeper into probability distributions, let’s take a detour to Monaco and talk about Monte Carlo sampling. I wanted to develop an intuitive sense of how these probability distributions work, so I built this companion project with interactive visualizations for each one.
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