The Information: A History, a Theory, a Flood
James Gleick
The Information: A History, a Theory, a Flood begins with the tale of colonial European explorers and their fascination with African talking drums and their observed use to send complex and widely understood messages back and forth between villages far apart, and over even longer distances by relay. The book then covers informational implications of technologies from drum signaling to the long distance telephone. Starting with symbolic written language, The Information examines the history of intellectual insights central to the development of information theory, detailing key figures responsible such as Claude Shannon, Charles Babbage (1791-1871), Ada Byron, Samuel Morse, Alan Turing, Stephen Hawking, Richard Dawkins and John Archibald Wheeler.
Award History
3 wins · 6 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| Royal Society Science Book PrizeMajor | 2012 | Winner | Secondary source |
| PEN Hessell-Tiltman Prize: Historical Nonfiction | 2012 | Winner | Secondary source |
| PEN/E.O. Wilson Literary Science Writing Award | 2012 | Winner | Secondary source |
| Andrew Carnegie Medal for Excellence in NonfictionMajor | 2012 | Finalist | Secondary source |
| Los Angeles Times Book Prize for Science and TechnologyMajor | 2011 | Finalist | Secondary source |
| National Book Critics Circle Award for NonfictionMajor | 2011 | Finalist | Secondary source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.
01 Central figures
- Claude Shannon85%
- Alan Turing70%
Show lower-confidence suggestions
These suggestions did not meet the normal display threshold and are more likely to be wrong.
- Stephen Hawking40%
02 Central places
None extracted with sufficient confidence.
03 Suggested argument
No argument inferred with sufficient confidence.
04 Reading orientation
30 / 100 academicSerious trade
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 62%.