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Why do financial models always betray you at the assumptions stage?

Our take

Financial models often begin with clarity and elegance, embodying a well-structured approach that makes you feel in control. However, the moment assumptions enter the equation, everything changes. You introduce growth rates, costs, and pricing scenarios, and suddenly, the model becomes a tangled web of confusion. Numbers misalign, links become obscure, and the fear of breaking something looms large. The real challenge arises when someone asks to adjust an assumption, leaving you torn between the desire to adapt and the anxiety of chaos.

Like seriously… it starts off all clean and beautiful. Proper structure, nice formulas, everything makes sense. You feel like a finance god for a moment.

Then assumptions enter.

You add a few growth rates… then costs… then pricing… then “just one more scenario”… and suddenly the whole thing starts acting weird.

Numbers stop matching, links get confusing, and you’re scared to change anything because something somewhere might break.

And yes… a few things may or may not be hardcoded “just for now” (we all know what that means).

The real pain hits when someone asks, “Can we tweak this assumption?”
And you’re like… “yeah… but also no.”

how do you guys keep your models from turning into chaos once assumptions kick in?

submitted by /u/WoodpeckerNo5214
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