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FindingX

The Mathematics of Better Decisions

The decisions that matter usually arrive with missing numbers, a deadline, and a room full of confident opinions. This book covers the handful of mathematical ideas that actually help in that room, worked through in plain language with problems you already recognize.

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Inside

What the book works through

x₁

Odds you can feel

Probability and expected value, and the specific places where gut instinct reliably misreads them.

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Stay or switch

The Monty Hall problem, and what it teaches about updating a decision when new information shows up.

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When others are deciding too

Game theory from the prisoner's dilemma onward, for the calls that depend on what the other side does.

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Lines, waits, and capacity

Queueing, and why one more server or one more approval step changes far more than it looks like it should.

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Picking the best mix

Optimization under real constraints: limited hours, limited budget, and priorities that compete.

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Deciding alongside AI

A closing look at what changes, and what stubbornly does not, when the machine has an opinion too.

Technically correct is not the same as useful. That gap is the whole subject of the book. The math is only worth carrying into a meeting if it changes what you do next, so every idea here arrives attached to a decision somebody actually has to make.

Readers

Who it is for

Engineering and program leads

People who have to defend a schedule, a trade study, or a staffing call to a room that will push back.

Founders and owners

Anyone making capacity, pricing, and priority calls with thin data and no analytics team behind them.

Students and the curious

Readers who liked the idea of probability and optimization but never saw them used on anything that mattered.

Solve for the decision in front of you

Listen to the audio edition above, then take the book with you.

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