When the model agrees with you too quickly
A short field guide to confirmation bias in AI-assisted investment research, and three checks that expose a flattering answer before it reaches a trade ticket.
Reading Room

A short field guide to confirmation bias in AI-assisted investment research, and three checks that expose a flattering answer before it reaches a trade ticket.
Why a model trained on a single bull market can produce confident, well-phrased and structurally fragile recommendations — and how to read the data window behind any output.
A walk through probability calibration for investors: what a stated 70% should mean, and how to ask a tool whether its numbers behave the way they claim.
A note on what is not here
Nothing on this page is a paid product. There are no subscriptions, no paid reports, no trade signals, no portfolio management, no deposits taken and no investment execution. The articles are free to read. If a piece is unclear, or you want to suggest a bias to cover next, send an inquiry and the editor will reply by email.