Joint evaluation of a metric
Suppose a fundraiser or web site or aggregator is trying to get donors to consider a particular measure (e.g., lives saved per $10,000). Users/donors may find this easier to consider if they can compare it to other charities or situations (e.g., the US government, when considering domestic policies, values a year of life at $70,000)
Alternative tool name:
Tool variation:
Category: Info/communications
Sub-category: Debiasing
Relevant theories: Evaluability bias
Type of evidence: Lab-charity, Hypothetical/intentional experiment
Evidence strength (ad hoc assessment):
Main findings
Preference for complicated characteristics increases when moving from separate to joint evaluation; identifiable victim vs large group, effectiveness vs. overhead
Discussion
Practical relevance
Use cases
Prevalence:
Key papers
Secondary papers
Contributors David Reinstein
Discussion