pre-register

Prevent hindsight bias in high-stakes engineering decisions by documenting reasoning, probability trees, and failure triggers before outcomes are realized. This establishes a formal, falsifiable record that enables objective post-outcome calibration rather than retrospective narrative.

A falsifiable decision record is a formal document of decision-making logic, load-bearing claims, and risk assessment created before outcomes are known. You need one when shipping high-stakes code or accepting tail risk to ensure blameless, data-driven postmortems.

Create a pre-registration for software deployment risk assessment by documenting the probability tree, defining load-bearing claims with specific conditions and dates, and establishing flip thresholds to distinguish between bad luck and flawed reasoning in your decision parameters.

Yes, you can use this for blameless postmortems after a deployment failure because it requires structured documentation of decision parameters before outcomes are known. This enables data-driven calibration and reasoning analysis to distinguish between bad luck and flawed reasoning.

The best way to track calibration in engineering decision-making is to establish flip thresholds and probability trees before outcomes are realized. This formal documentation distinguishes between bad luck and flawed reasoning, enabling objective post-outcome grading of load-bearing claims.

Yes, this approach works for tail risk management in software engineering by establishing a formal, falsifiable record of decision-making logic and risk assessment. It defines specific postmortem triggers to ensure objective calibration and reasoning analysis when accepting tail risk.