Think Like a Freak
E790047
Think Like a Freak is a popular non-fiction book by economist Steven Levitt and journalist Stephen Dubner that applies unconventional, data-driven thinking to everyday problems and decision-making.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Think Like a Freak canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9303501 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Think Like a Freak Context triple: [Steven Levitt, notableWork, Think Like a Freak]
-
A.
Thinking, Fast and Slow
"Thinking, Fast and Slow" is a bestselling book by psychologist Daniel Kahneman that explores how two distinct systems of thought—fast, intuitive thinking and slow, deliberate reasoning—shape human judgment and decision-making.
-
B.
Good News for People Who Love Bad News
Good News for People Who Love Bad News is a critically acclaimed 2004 indie rock album by Modest Mouse, featuring the hit single "Float On" and marking the band's mainstream breakthrough.
-
C.
The Joy of x
The Joy of x is a popular mathematics book by Steven Strogatz that uses everyday stories and clear explanations to reveal the beauty and relevance of math in daily life.
-
D.
Billion Dollar Brain
Billion Dollar Brain is a 1967 British spy film in the Harry Palmer series, directed by Ken Russell and starring Michael Caine as the bespectacled secret agent.
-
E.
Hidden Brain
Hidden Brain is a popular NPR podcast and radio show that explores the unconscious patterns driving human behavior, decision-making, and relationships through storytelling and social science.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Think Like a Freak Target entity description: Think Like a Freak is a popular non-fiction book by economist Steven Levitt and journalist Stephen Dubner that applies unconventional, data-driven thinking to everyday problems and decision-making.
-
A.
Thinking, Fast and Slow
"Thinking, Fast and Slow" is a bestselling book by psychologist Daniel Kahneman that explores how two distinct systems of thought—fast, intuitive thinking and slow, deliberate reasoning—shape human judgment and decision-making.
-
B.
Good News for People Who Love Bad News
Good News for People Who Love Bad News is a critically acclaimed 2004 indie rock album by Modest Mouse, featuring the hit single "Float On" and marking the band's mainstream breakthrough.
-
C.
The Joy of x
The Joy of x is a popular mathematics book by Steven Strogatz that uses everyday stories and clear explanations to reveal the beauty and relevance of math in daily life.
-
D.
Billion Dollar Brain
Billion Dollar Brain is a 1967 British spy film in the Harry Palmer series, directed by Ken Russell and starring Michael Caine as the bespectacled secret agent.
-
E.
Hidden Brain
Hidden Brain is a popular NPR podcast and radio show that explores the unconscious patterns driving human behavior, decision-making, and relationships through storytelling and social science.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf | non-fiction book ⓘ |
| author |
Stephen J. Dubner
NERFINISHED
ⓘ
Steven D. Levitt NERFINISHED ⓘ |
| basedOnWorkOf |
Freakonomics
NERFINISHED
ⓘ
SuperFreakonomics NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| followedBy | When to Rob a Bank NERFINISHED ⓘ |
| genre |
non-fiction
ⓘ
popular economics ⓘ self-help ⓘ |
| hasCoAuthorProfession |
economist
GENERATED
ⓘ
journalist GENERATED ⓘ |
| hasSubjectPerson |
Stephen J. Dubner
NERFINISHED
ⓘ
Steven D. Levitt NERFINISHED ⓘ |
| hasTheme |
challenging conventional wisdom
ⓘ
using data to understand behavior ⓘ |
| isbn10 | 0062218336 ⓘ |
| isbn13 | 9780062218339 ⓘ |
| language | English ⓘ |
| literaryForm | prose ⓘ |
| mediaType |
audiobook
ⓘ
ebook ⓘ print ⓘ |
| notableIdea |
framing problems correctly
ⓘ
importance of incentives in behavior ⓘ learning to say “I don’t know” ⓘ quitting as a rational strategy ⓘ thinking like a child to question assumptions ⓘ |
| originalLanguage | English ⓘ |
| pageCount | approximately 288 ⓘ |
| placeOfPublication | New York City ⓘ |
| precededBy | SuperFreakonomics NERFINISHED ⓘ |
| publicationDate | 2014 ⓘ |
| publisher | William Morrow NERFINISHED ⓘ |
| series | Freakonomics series NERFINISHED ⓘ |
| subject |
behavioral economics
ⓘ
data-driven thinking ⓘ decision-making ⓘ economics ⓘ incentives ⓘ problem solving ⓘ |
| targetAudience |
general audience
ⓘ
readers interested in economics ⓘ readers interested in self-improvement ⓘ |
| usesApproach |
data-driven analysis
ⓘ
storytelling ⓘ unconventional thinking ⓘ |
| workInSeriesPosition | third book in the Freakonomics series ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Think Like a Freak Description of subject: Think Like a Freak is a popular non-fiction book by economist Steven Levitt and journalist Stephen Dubner that applies unconventional, data-driven thinking to everyday problems and decision-making.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.