Reweighted Update Log¶
Document — instantiates Relevance-Substitution Detection and Correction
Records the before-and-after confidence or decision change once the substitute signal has been discounted and the relevant evidence reweighted.
Reweighted Update Log is a running record of corrections: for each judgment where a psychologically active but irrelevant cue was found, it logs the belief or decision as it stood before the correction, the discount applied to the substitute signal, and the reweighted judgment after. It exists to make the size and direction of a correction explicit and auditable — to turn "we decided that cue shouldn't count" into a recorded delta with a stated rule behind it. Its defining feature is the before→after arithmetic: it operates once a cue has already been identified as irrelevant and its job is to carry out and document the reweighting, producing a revised position and a visible trail of how far the correction moved things. It is the ledger of the fix, not the declaration of the original basis.
Example¶
A cybersecurity analyst is triaging a suspected intrusion. An automated alert fires with alarming red banners and the word "CRITICAL," and the on-call team's initial threat likelihood sits high — call it 80% that this is an active breach. On review, the analyst finds the scary presentation is a substitute signal: the alert's severity label is keyed to a signature match, but the matched signature is a known false-positive pattern for the org's backup tooling, with no lateral movement, no anomalous authentication, and no data egress. The Reweighted Update Log records it: prior belief 80% (driven substantially by alert framing); substitute signal = severity styling and "CRITICAL" label, discounted to zero evidential weight; reconstructed relevant evidence = no lateral movement, no egress, benign signature source; reweighted belief 15%. The log now shows a 65-point correction, the rule that produced it (weight the alert on corroborating telemetry, not on styling), and enough of a trail that a later reviewer can see exactly what the fear-inducing banner was doing to the number and why it was pulled back.
How it works¶
- Snapshot the prior. Record the belief or decision as it actually stood, including the note that a substitute cue was contributing to it.
- Name and discount the cue. Enter the specific irrelevant signal and the discount applied — down-weighted, zeroed, or capped — under an explicit rule rather than a vibe.
- Reconstruct and reweight. Rebuild the judgment from the genuinely relevant evidence and record the posterior, so the correction rests on the reconstructed signal, not merely on subtracting the cue.
- Log the delta. Store the before→after change and its rule so the magnitude and rationale of the correction are auditable later.
Tuning parameters¶
- Discount rule form — whether the substitute signal is zeroed, halved, or capped, and by what rule. Aggressive discounting removes contamination cleanly but can over-correct a cue that had a sliver of real relevance; gentle discounting is safer but leaks influence.
- Logging granularity — a single before/after number versus a full decomposition of which evidence carried which weight. Fine logs are auditable but heavy; coarse logs are quick but hard to review.
- Reconstruction requirement — whether a reweight is allowed on subtraction alone or must be rebuilt from positive relevant evidence. Requiring reconstruction prevents "just remove the scary part and keep the old number"; it costs more effort.
- Delta-review trigger — how large a correction must be to prompt a second look. A low trigger catches over-corrections; a high one keeps the log from becoming a review queue.
When it helps, and when it misleads¶
Its strength is that it makes corrections legible and reversible: because each reweight is logged with its rule and its magnitude, a later reviewer can see whether the discount was justified and, if not, undo it. This is disciplined updating in the Bayesian spirit — a posterior derived from a prior and a stated adjustment — and it specifically guards against anchoring, where an initial number sticks and subsequent "adjustment" is chronically insufficient.[n1] Writing the delta down forces the adjustment to be real rather than a token nudge away from the anchor.
Its failure mode is false precision and over-correction: attaching a crisp number to a discount can make an eyeballed judgment look computed, and a zealous analyst can strip out a cue that actually carried some information, logging a confident correction in the wrong direction. The classic misuse is running it backward — deciding the answer, then constructing a discount that "explains" the move — which turns the log into a justification engine. The guarding discipline is to require that the reweighted position be rebuilt from named relevant evidence, to flag large deltas for a second reviewer, and to treat the log as a record open to being challenged, not a verdict sealed by its arithmetic.
How it implements the components¶
substitute_signal_register— each entry names the specific irrelevant cue being discounted.relevant_signal_reconstruction— the posterior is rebuilt from the genuinely relevant evidence rather than by mere subtraction of the cue.correction_and_reweighting_rule— the logged discount-and-reweight is the explicit rule that converts the prior into the corrected judgment.
It does not produce the at-decision statement of which evidence is claimed as the basis (decision_basis_disclosure_record) or run the standing residual_bias_monitor for lingering influence — that forward-facing, monitored disclosure belongs to Decision-Basis Disclosure, its document twin.
Related¶
- Instantiates: Relevance-Substitution Detection and Correction — provides the auditable ledger that records and sizes each correction after a cue is discounted.
- Consumes: Cue-Validity Audit or Proxy-Relevance Audit — supplies the verdict that a cue is irrelevant, which this log then discounts and reweights.
- Sibling mechanisms: Affect–Evidence Split Prompt · Red Herring Filter Checklist · Analogy Mapping Table · Question–Evidence Matrix · Decision-Basis Disclosure · Cue-Validity Audit · Proxy-Relevance Audit · Blinded or Masked Review
Editorial Notes¶
Form Classification¶
Form family: Record, Log & Register
Rationale: Reweighted Update Log operates as a persistent ledger, log, register, or case record that preserves history and traceability because it records the before-and-after confidence or decision change once the substitute signal has been discounted and the relevant evidence reweighted.
Independent corroboration: The frozen evidence defines Reweighted Update Log as 'Records the before-and-after confidence or decision change once the substitute signal has been discounted and the relevant evidence reweighted', so its operative form is Record, Log & Register.
Nearest alternative: Analysis, Modeling & Optimization — Reweighted Update Log includes features of an analytical, modeling, inference, comparison, or optimization procedure that derives insight or a solution, but its defining operation is a persistent ledger, log, register, or case record that preserves history and traceability.
Review outcome: Independent reviewer agreement; medium confidence.
Origin Attribution¶
Primary origin: Statistics & Experimental Design
Origin pattern: Cross-disciplinary synthesis
Present-day reach: Universal
Rationale: Recording confidence change after discounting a proxy follows statistical evidence weighting and Bayesian updating.
Related originating lineages:
- Data Science & Analytics — Model-monitoring practice operationalizes before-and-after reweighting logs.
- Mathematics — Mathematical modeling, proof, and abstract-structure practice supplies a parallel or contributing lineage for the mechanism's defining operation: records the before-and-after confidence or decision change once the substitute signal has been discounted and the relevant evidence reweighted.
- Philosophy — Epistemology materially contributes justified belief revision when evidence relevance changes.
Review resolution: Both blind reviewers agree that statistics_experimental_design is the primary historical origin. Explicit reconciliation of alternate origin disagreement, domain reach disagreement starts from reviewer_a’s mechanism-specific evidence: Recording confidence change after discounting a proxy follows statistical evidence weighting and Bayesian updating. Reviewer A proposed alternates=data_science, philosophy, origin_mode=cross_disciplinary_synthesis, domain_reach=universal, and encyclopedia_synthesis=true; reviewer B proposed alternates=data_science, mathematics, origin_mode=cross_disciplinary_synthesis, domain_reach=multi_domain, and encyclopedia_synthesis=true. The final record retains every independently supported alternate from either review (data_science, philosophy, mathematics) without an arbitrary cap, selects origin_mode=cross_disciplinary_synthesis to represent the combined lineage evidence, and keeps domain_reach=universal and encyclopedia_synthesis=true from the more mechanism-specific assessment. Present-day transfer is recorded as reach and is not treated as proof of historical origin.
Encyclopedia synthesis: The exact catalogued form synthesizes established practice rather than reproducing a single standard historical label.
Review outcome: Reconciled after independent review; medium confidence.
Notes¶
[n1] Anchoring and insufficient adjustment (Tversky and Kahneman) is the tendency for an initial value to hold and for later corrections to fall short of where the evidence warrants; logging the explicit before→after delta is a countermeasure that forces the adjustment to be stated and sized. ↩