Methodology
The owner's manual for the work.
The Math Doesn't Lie exists to make assumptions visible, calculations traceable, and conclusions less dependent on salesmanship.
Why this exists
Most important decisions are made with incomplete data: retirement timing, income strategies, infrastructure choices, water policy, business investments, and portfolio construction. The goal here is not to pretend the future is knowable. The goal is to build transparent models, state the assumptions, and update the conclusion when the facts change.
Guiding philosophy
Data comes first. Assumptions are stated. Models are documented. Conclusions remain conditional. If the inputs change, the output should change too.
Engineering approach
The process is simple: define the problem, identify constraints, document assumptions, test the model, preserve version history, and separate measured results from interpretation.
Investment philosophy
The investment work emphasizes high-quality businesses, sector awareness, dividends, covered-call suitability, and real-world portfolio behavior. The focus is not hype or prediction. It is repeatable process, cash-flow math, downside awareness, and honest comparison against benchmarks.
Transparent definitions
Every metric should have one authoritative definition. Portfolio Value, Holdings Value, Premium, Assignment, Roll, Near the Money, Total Contribution, Benchmark, Moat, and Covered Call Ledger all belong here as the reference page grows.
Data. Models. Assumptions. You decide.