An OpenBook projection is a conditional if-then model, not a prediction. It takes known facts, planning choices, assumptions and current rules, then shows what follows under those conditions. Precision can be useful, but only when the reader understands that the output is conditional.

Assumptions matter. Spending, relatively stable income, flexible assets, taxes, benefits, inflation, fees, investment returns, longevity and timing all interact. Changing one assumption can change the result, which is why OpenBook separates facts, choices, default assumptions, source-sensitive rules and thresholds, outputs and limits.

Projection outputs are explanations, not promises. They help readers compare scenarios and see tradeoffs: current versus future dollars, gross versus net returns, cash flow versus taxable income, and deterministic outputs versus uncertainty. Their value comes from making assumptions visible, not from predicting the future precisely.