MiroFish vs traditional forecasting
Traditional forecasting extends the past: fit a trend, project it forward, attach a confidence interval. That works well when tomorrow resembles yesterday, and poorly when the whole point is a change nobody has reacted to yet.
Where forecasts fall short
A trend line cannot tell you which customer segment revolts against a price change, or whether a rebrand becomes a culture-war flashpoint. Those outcomes depend on people reacting to each other, which is exactly what a number smooths away.
Where simulation helps
MiroFish rehearses the reaction instead of extrapolating it. You get the paths a crowd might take and the reasons behind them. Use it alongside your forecasts, not instead of them: the number tells you how much, the simulation tells you how and why.
Should I stop forecasting?
No. Simulation and forecasting answer different questions; the strongest plans use both.
Is simulation less rigorous?
It is exploratory by design. Treat it as a rehearsal that generates hypotheses to test, not a replacement for measurement.