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Philip Eyrikson Tetlock (born March 2, 1954) is a Canadian-American political psychologist and writer, and is currently the Annenberg University Professor at the University of Pennsylvania, where he is cross-appointed at the Wharton School and the School of Arts and Sciences. He was elected a Member of the American Philosophical Society in 2019.
The analysis highlights Works, Art and Science as prominent areas in the source structure around Philip E. Tetlock.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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The extracted context around Philip E. Tetlock shows recurring relationship patterns in the source. For example, Philip E. Tetlock → University of British Columbia (BA, MA) Yale University (PhD) Another extracted example is Philip E. Tetlock → (1954-03-02) March 2, 1954 (age 72) Toronto, Ontario, Canada. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
tetlock political psychology accountability judgment research good forecasting work also university accuracy project tournament science expert values superforecasting forecasters people
TTTA extracted 12 structured relationships around Philip E. Tetlock. Examples in this analysis include Philip E. Tetlock → Alma mater → University of British Columbia (BA, MA) Yale University (PhD) and Philip E. Tetlock → Born → (1954-03-02) March 2, 1954 (age 72) Toronto, Ontario, Canada. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Philip E. Tetlock | Alma mater | University of British Columbia (BA, MA) Yale University (PhD) | 1.00 | infobox |
| Philip E. Tetlock | Born | (1954-03-02) March 2, 1954 (age 72) Toronto, Ontario, Canada | 1.00 | infobox |
| Philip E. Tetlock | Doctoral advisor | Phoebe C. Ellsworth | 1.00 | infobox |
| Philip E. Tetlock | Doctoral students | Jennifer Lerner Linda Skitka Welton Chang | 1.00 | infobox |
| Philip E. Tetlock | Fields | political forecasting, political psychology, forecasting, decision making | 1.00 | infobox |
| Philip E. Tetlock | Other academic advisors | Peter Suedfeld | 1.00 | infobox |
| Philip E. Tetlock | Thesis | Attributions As Interpersonal Acts (1979) | 1.00 | infobox |
| Philip E. Tetlock | Workplaces | University of Pennsylvania University of California, Berkeley Ohio State University | 1.00 | infobox |
| 9/11 | instance of | false negatives | 0.80 | text |
| the Journal of Consumer Research | instance of | Real-world implications of this claim are explored largely in business-school journals | 0.80 | text |
| California Management Review | instance of | Real-world implications of this claim are explored largely in business-school journals | 0.80 | text |
| and Journal of Consumer Psychology | instance of | Real-world implications of this claim are explored largely in business-school journals | 0.80 | text |
The concept neighborhoods around Philip E. Tetlock bring nearby vocabulary together. In this analysis, examples include Accountability, Also and Good. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Philip E. Tetlock, one of the stronger structural bridges in this analysis connects Philip E. Tetlock with Work. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Philip E. Tetlock to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Art & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Philip E. Tetlock · EN edition · Analysis: TopicsToTalkAbout