Fixed baseline
No rewriting the starting line after a program launches.
The scorecard is the book’s answer to a simple accountability question: what evidence, ten years from enactment, would show that the plan worked, failed, or needs to change?
The scorecard is designed to make the plan falsifiable. Baselines are fixed at enactment, target changes require a public process, measurement is separated from implementation, results are disaggregated, leading indicators are published quarterly, and GAO audits data quality.
No rewriting the starting line after a program launches.
The implementing agency does not get to grade itself.
National averages are broken out by income, race and ethnicity, sex, disability, age, geography, rural and tribal status, and family type where data allow.
Leading measures show trouble before a ten-year target is missed.
Within a defined period, the agency posts a plain-language statement on the standard public performance site.
Identify whether the miss resulted from funding, program design, administration, law, or changed external conditions.
Recommend expansion, redesign, or termination rather than treating continued funding as the default.
Congress considers the response within a defined period, with a privileged vote available when a member requests it under the book’s proposed procedure.
Progress bars below are deliberately not “live scores.” The edition freezes its baselines at September 20, 2026. Each track marks the fixed baseline at the left and the ten-year target at the right. It is directional, not a claim that every metric has a common numerical distance or a live progress score. Later editions can add measured updates without moving the original baseline.
A national scorecard invites Goodhart’s law: once officials know the metric, they optimize the number rather than the underlying public purpose. Outcomes also move for reasons outside federal control, so a missed target can punish a competent agency for a recession, pandemic, war, or state-level decision.
The appendix responds by using multiple measures per domain, independent data producers, disaggregation, data-quality audits, fixed baselines, and a diagnosis step that explicitly distinguishes design, funding, administration, law, and external conditions. A miss triggers explanation and reconsideration, not automatic punishment.
Attribution will remain imperfect. Some outcomes take longer than a decade, some official series will change methodology, and lawmakers can still game targets if the public and independent measurers do not defend the original baseline.