President Trump's 'One-in, Two-out' Rule¶
(2017). President Trump's 'One-in, Two-out' Rule: Lessons from the UK.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Additive Bias
- The compression sorts the interventions, each re-weighting the search distribution toward the underweighted region. Surface the remove option — explicitly prompt agents to consider subtractive transformations, realized as subtractive-only sessions, refactor-only sprints, regulatory-sunset reviews, or curriculum-pruning weeks. Increase the visibility of removal-benefit — make the cost of retained-but-unneeded components observable (storage, cognitive load, maintenance, compliance overhead) so removal earns visible credit. Lower the asymmetric political cost — design machinery (sunset clauses, default-off, opt-in retention) that changes a ledger in which removal triggers vocal opposition and gives only diffuse benefit. Set explicit removal targets — numerical quotas such as one-in-two-out rules that force the distribution toward the underweighted region.
This sourceDocuments one-in-X-out regulatory removal quotas — the UK 'one-in, two-out' rule (in force from 2013) and EO 13771's 'two-out, one-in' requirement — as numerical removal targets / bias-correction machinery forcing the search distribution toward removal.
- The compression sorts the interventions, each re-weighting the search distribution toward the underweighted region. Surface the remove option — explicitly prompt agents to consider subtractive transformations, realized as subtractive-only sessions, refactor-only sprints, regulatory-sunset reviews, or curriculum-pruning weeks. Increase the visibility of removal-benefit — make the cost of retained-but-unneeded components observable (storage, cognitive load, maintenance, compliance overhead) so removal earns visible credit. Lower the asymmetric political cost — design machinery (sunset clauses, default-off, opt-in retention) that changes a ledger in which removal triggers vocal opposition and gives only diffuse benefit. Set explicit removal targets — numerical quotas such as one-in-two-out rules that force the distribution toward the underweighted region.
Verification¶
This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.
Links previously used in the corpus¶
Before the registry existed this work was also linked 1 other way.
Registry ID ref:bd713d9f5e9e · see in the full table