Construct · 3 fields · 6 citations

Where does attribution collide?

One name. Different field. Different construct. One map.

● jingle · one word, three constructs Nearest construct by meaningfundamental attribution errorcompare the meanings
How to read this

Every construct on the map is compared with every other by the meaning of its definitions, and the closest one is surfaced here. The nearest construct to attribution is fundamental attribution error.

Hold this as a prompt, not a verdict. Two constructs sitting close in meaning is a reason to read them side by side and decide for yourself whether they are one idea under two names. It is not proof that they are. Compare the meanings in the Collider.

attribution3 CONSTRUCTSChannel creditSHAO · CREDIT FOR SALEAttribution theoryHEIDER · CAUSAL EXPLAINClimate attributionHEGERL · HUMAN FINGERPRINT

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2026

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Marketing and digital analytics

assigning credit for a conversion across the touchpoints, such as ads, clicks, and emails, a customer met before buying.

The assignment of credit for a conversion across the touchpoints a customer met on the way to buying: an ad, a search click, an email, a store visit. Simple rules give all the credit to the last click or the first click, while multi-touch and data-driven models spread it across the path. Shao and Li's 2011 Data-driven multi-touch attribution models framed this as a measurement problem of estimating each channel's causal contribution from observed journeys, and Kannan, Reinartz, and Verhoef reviewed the modeling that followed. The referent is a bookkeeping of marketing credit across a purchase path, not a person's explanation of behavior, a statistical test of human influence on climate, or a scholar's judgment of who painted a picture.[1][2]

Unit
A share of conversion credit assigned to each touchpoint
Recovery means
Not applicable
Measured by
Estimated from clickstream and conversion logs by rule-based, Markov, Shapley-value, or model-based attribution methods

Social psychology

how ordinary people explain the causes of behavior and events, crediting a person's disposition or the situation.

How ordinary people explain the causes of behavior and events, and in particular whether they credit a person's disposition or the situation. Heider's 1958 The Psychology of Interpersonal Relations opened the field, Kelley's covariation model set out how observers weigh consistency, distinctiveness, and consensus, and Ross named the fundamental attribution error, the tendency to over-credit character and under-credit circumstance. The referent is a folk process of causal explanation in the perceiver's mind, studied for its systematic biases, and it shares nothing with an analyst's tally of marketing credit, a climate fingerprint, or an art expert's verdict beyond the word.[3][4][5]

Unit
A perceived cause, coded as dispositional or situational
Recovery means
Not applicable
Measured by
Inferred in experiments from causal ratings, attribution questionnaires, and manipulations of consistency, distinctiveness, and consensus

Climate science

the formal statistical assessment of how far observed climate changes can be assigned to human influence rather than natural variability.

The formal statistical assessment of how far observed changes in the climate can be assigned to human influence rather than to natural variability. Detection establishes that a change is unlikely to be due to internal variability alone, and attribution matches the observed pattern to the expected spatial and temporal fingerprints of forcings, using models and observations together. Hegerl and Zwiers's 2011 Use of models in detection and attribution of climate change set out the fingerprinting framework and its optimal-detection statistics. The referent is a quantitative causal claim about a physical system, weighed in likelihoods and confidence, not a marketing credit split, a mental explanation of behavior, or a connoisseur's authorship call.[6]

Unit
An estimated share of an observed change attributed to a forcing, with a confidence level
Recovery means
Not applicable
Measured by
Assessed by optimal fingerprinting: regressing observations onto model-simulated response patterns for anthropogenic and natural forcings

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Nearby collisions

fundamental attribution error1 fields · 3 citationsanchor · a standalone constructcredit2 fields · 2 citationsjingle · one word, two constructsantithesis2 fields · 3 citationsjingle · one word, two constructs

References

  1. Shao, X., & Li, L. (2011). Data-driven multi-touch attribution models. In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 258–264). ACM. https://doi.org/10.1145/2020408.2020453
  2. Kannan, P. K., Reinartz, W., & Verhoef, P. C. (2016). The path to purchase and attribution modeling: Introduction to special section. International Journal of Research in Marketing, 33(3), 449–456. https://doi.org/10.1016/j.ijresmar.2016.07.001
  3. Heider, F. (1958). The psychology of interpersonal relations. Wiley. ISBN 9780898592825
  4. Kelley, H. H. (1973). The processes of causal attribution. American Psychologist, 28(2), 107–128. https://doi.org/10.1037/h0034225
  5. Ross, L. (1977). The intuitive psychologist and his shortcomings: Distortions in the attribution process. Advances in Experimental Social Psychology, 10, 173–220. https://doi.org/10.1016/S0065-2601(08)60357-3
  6. Hegerl, G. C., & Zwiers, F. (2011). Use of models in detection and attribution of climate change. WIREs Climate Change, 2(4), 570–591. https://doi.org/10.1002/wcc.121

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