Uninformed Good: Why Benefits Received Without Knowledge of Their Costs Are Not Categorically Good

A benefit can be real while the judgment that it is good remains uninformed. I developuninformed good as a graded concept: a benefit received without adequate understanding of itsrelevant costs, wherever those costs fall. Disclosure may lower, raise, or leave unchanged therecipient’s evaluation. A benefit that remains equally good after its costs are understood is thelimiting categorical case in my sense; whether such cases occur is an open question, not a resultestablished here. The primary aim is descriptive: to ask how often uninformed benefits producereal harm, for whom, and under which conditions. A separate philosophical hypothesis holds thatomission is outwardly negative; it is not presented as an empirical finding. I distinguishdeliberate concealment, chosen ignorance, and unavoidable incomplete knowledge; examinesdemands and last-minute requests for forgiveness or reentry; and confronts invisible-supportevidence as a genuine challenge to blanket disclosure rules. I argue for timely disclosure ofmaterial known costs while recognizing costs of disclosure and limits of knowledge. Ninerevised predictions, a field-oriented distributional inquiry, and two possible experiments specifyhow the empirical claims could be tested. No new data are reported.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-08
DOI
https://doi.org/10.5281/zenodo.24066481
Primary Topic
Decision-Making and Behavioral Economics
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

Uninformed Good: Why Benefits Received Without Knowledge of Their Costs Are Not Categorically Good

Cole David Withington
Zenodo (CERN European Organization for Nuclear Research)
Decision-Making and Behavioral Economics
preprint

Uninformed Good: Why Benefits Received Without Knowledge of Their Costs Are Not Categorically Good

Cole David Withington
preprint en

Abstract

A benefit can be real while the judgment that it is good remains uninformed. I developuninformed good as a graded concept: a benefit received without adequate understanding of itsrelevant costs, wherever those costs fall. Disclosure may lower, raise, or leave unchanged therecipient’s evaluation. A benefit that remains equally good after its costs are understood is thelimiting categorical case in my sense; whether such cases occur is an open question, not a resultestablished here. The primary aim is descriptive: to ask how often uninformed benefits producereal harm, for whom, and under which conditions. A separate philosophical hypothesis holds thatomission is outwardly negative; it is not presented as an empirical finding. I distinguishdeliberate concealment, chosen ignorance, and unavoidable incomplete knowledge; examinesdemands and last-minute requests for forgiveness or reentry; and confronts invisible-supportevidence as a genuine challenge to blanket disclosure rules. I argue for timely disclosure ofmaterial known costs while recognizing costs of disclosure and limits of knowledge. Ninerevised predictions, a field-oriented distributional inquiry, and two possible experiments specifyhow the empirical claims could be tested. No new data are reported.

Zenodo (CERN European Organization for Nuclear Research)
Portland State University (US)
Decision-Making and Behavioral Economics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon