Uncertainty makes people uncomfortable.
We prefer one answer. One prediction.
Monte Carlo doesn’t do that.
Instead of asking what will happen, it asks what could happen.
Then it runs the scenario thousands of times.
Each run is slightly different.
Some outcomes are great. Some are bad. Most fall in between.
After enough simulations, patterns appear.
Not a single number a range.
That’s the power.
Monte Carlo doesn’t remove uncertainty. It measures it.
It turns “I hope this works” into “Here’s the probability it works.”
In a world full of randomness, that shift matters.
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