The Signal and the Noise
E560725
The Signal and the Noise is a book by statistician Nate Silver that explores how to make better predictions by distinguishing meaningful signals from misleading noise in data across fields like politics, economics, and science.
All labels observed (1)
| Label | Occurrences |
|---|---|
| The Signal and the Noise canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T5996473 — 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: The Signal and the Noise Context triple: [Nate Silver, notableWork, The Signal and the Noise]
-
A.
Symbols, Signals and Noise
Symbols, Signals and Noise is a classic popular science book by engineer John R. Pierce that introduces the principles of information theory and communication in an accessible way.
-
B.
The Master Switch: The Rise and Fall of Information Empires
The Master Switch: The Rise and Fall of Information Empires is a nonfiction book that examines the recurring cycle of openness and monopolistic control in communications and information industries throughout modern history.
-
C.
Fact, Fiction, and Forecast
Fact, Fiction, and Forecast is a seminal 1954 work of analytic philosophy by Nelson Goodman, best known for introducing the "new riddle of induction" and the concept of "grue."
-
D.
The Tipping Point
The Tipping Point is a 2004 studio album by hip-hop band The Roots that blends socially conscious lyrics with live-instrumentation and experimental production.
-
E.
The Tipping Point
The Tipping Point is a bestselling non-fiction book by Malcolm Gladwell that explores how small, seemingly minor actions or events can trigger large-scale social change and trends.
- 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: The Signal and the Noise Target entity description: The Signal and the Noise is a book by statistician Nate Silver that explores how to make better predictions by distinguishing meaningful signals from misleading noise in data across fields like politics, economics, and science.
-
A.
Symbols, Signals and Noise
Symbols, Signals and Noise is a classic popular science book by engineer John R. Pierce that introduces the principles of information theory and communication in an accessible way.
-
B.
The Master Switch: The Rise and Fall of Information Empires
The Master Switch: The Rise and Fall of Information Empires is a nonfiction book that examines the recurring cycle of openness and monopolistic control in communications and information industries throughout modern history.
-
C.
Fact, Fiction, and Forecast
Fact, Fiction, and Forecast is a seminal 1954 work of analytic philosophy by Nelson Goodman, best known for introducing the "new riddle of induction" and the concept of "grue."
-
D.
The Tipping Point
The Tipping Point is a 2004 studio album by hip-hop band The Roots that blends socially conscious lyrics with live-instrumentation and experimental production.
-
E.
The Tipping Point
The Tipping Point is a bestselling non-fiction book by Malcolm Gladwell that explores how small, seemingly minor actions or events can trigger large-scale social change and trends.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf | non-fiction book ⓘ |
| author | Nate Silver ⓘ |
| awards |
2013 Phi Beta Kappa Award in Science
ⓘ
linked to:
Phi Beta Kappa Award in Science
|
| countryOfOrigin |
United States
ⓘ
linked to:
United States of America
|
| focusesOn |
calibration of probabilistic forecasts
ⓘ
distinguishing signal from noise in data ⓘ improving the accuracy of predictions ⓘ limits of predictive models ⓘ uncertainty in complex systems ⓘ |
| genre |
political analysis
ⓘ
popular science ⓘ statistics literature ⓘ |
| hasCentralConcept |
Bayesian updating
ⓘ
model uncertainty ⓘ noise ⓘ overfitting ⓘ prediction markets ⓘ probabilistic thinking ⓘ signal ⓘ |
| isbn10 | 159420411X ⓘ |
| isbn13 | 9781594204111 ⓘ |
| language | English ⓘ |
| mediaType |
audiobook
ⓘ
e-book ⓘ print ⓘ |
| nominatedFor | 2012 Goodreads Choice Award for Nonfiction ⓘ |
| notableChapterTopics |
Major League Baseball statistics
ⓘ
US presidential elections ⓘ financial crisis of 2007–2008 ⓘ terrorism risk ⓘ weather forecasting ⓘ |
| pages | 544 ⓘ |
| publicationDate | 2012 ⓘ |
| publisher | Penguin Press ⓘ |
| subject |
Bayesian statistics
ⓘ
climate science ⓘ data analysis ⓘ earthquake prediction ⓘ epidemiology ⓘ forecasting ⓘ macroeconomics ⓘ poker ⓘ prediction ⓘ probability ⓘ risk analysis ⓘ sports forecasting ⓘ statistical modeling ⓘ |
| targetAudience |
general readers interested in data and prediction
ⓘ
students of statistics and political science ⓘ |
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: The Signal and the Noise Description of subject: The Signal and the Noise is a book by statistician Nate Silver that explores how to make better predictions by distinguishing meaningful signals from misleading noise in data across fields like politics, economics, and science.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.