Construct · 4 fields · 5 citations

Where does information collide?

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

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information4 CONSTRUCTSShannon informationSHANNON · BITS OF ENTROPYEconomic informationAKERLOF · ASYMMETRIC INFOGenetic informationCRICK · DNA SEQUENCESemantic informationFLORIDI · MEANING + TRUTH

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2026

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Information theory

Reduction of uncertainty in bits

The amount by which a message reduces uncertainty about which of several possible outcomes has occurred, measured in bits and computed from the probabilities of those outcomes. Shannon's 1948 A Mathematical Theory of Communication defined this quantity through entropy, the average surprise of a source, and deliberately set aside what a message means: two messages that are equally improbable carry the same number of bits whether one is profound and the other is gibberish. The referent is a statistical property of a source and channel, not the truthful content a philosopher weighs, the trade secret an economist prices, or the coded sequence a biologist reads in DNA.[1]

Unit
One bit is the uncertainty removed by learning the answer to one equally likely yes or no question
Recovery means
Not applicable
Measured by
Computed as entropy from the probability distribution of a source, in bits per symbol or bits per second

Economics

Knowledge unevenly held by market parties

Knowledge about the quality, price, or intentions behind a transaction that is costly to obtain and often held unevenly by the parties to a trade. Stigler's 1961 The Economics of Information treated search for a better price as a costly activity worth modelling, and Akerlof's 1970 The Market for "Lemons" showed that when a seller knows more than a buyer, this asymmetry can drive good goods out of the market. Here information is a scarce economic good whose distribution shapes prices and behaviour, unlike the meaning-free bit count of information theory, the truthful content of philosophy, or the chemical instructions in a gene.[2][3]

Unit
A parcel of decision-relevant knowledge, valued by what it saves or earns and by who holds it
Recovery means
Not applicable
Measured by
Inferred from search costs, price dispersion, and the market outcomes that asymmetry produces, such as adverse selection

Molecular biology

Sequence in DNA that specifies proteins

The precise order of bases along a strand of DNA or RNA that specifies the order of amino acids in a protein. Crick's 1970 Central Dogma of Molecular Biology framed this as directional: sequence information flows from nucleic acid to protein and cannot flow back out of protein into nucleic acid. The referent is a physical, chemical ordering that a cell copies and translates, not an abstract bit count, a scarce market good, or a truthful proposition, even though a biologist may borrow the language of coding and readout to describe it.[4]

Unit
A base sequence, read in three-letter codons that each specify one amino acid
Recovery means
Copied by replication and expressed by transcription and translation; per the central dogma it does not flow back from protein to sequence
Measured by
Determined by DNA and RNA sequencing that reads the order of bases directly

Philosophy of information

Well-formed, meaningful, truthful content

Content that is well-formed, meaningful, and true, so that a false statement does not count as information at all but as misinformation. Floridi's 2004 Outline of a Theory of Strongly Semantic Information argued that Shannon's account measures data without regard to meaning or truth, and proposed a stronger notion in which truthfulness is a requirement rather than an optional extra. Here information is a property of meaningful, accurate content, in direct contrast with the meaning-free bit count of information theory, the priced knowledge of economics, and the chemical sequence of biology.[5]

Unit
A well-formed, meaningful item of content that additionally must be true to qualify
Recovery means
Not applicable
Measured by
Assessed by whether content is well-formed, carries meaning, and is true, not by a numerical scale

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Nearby collisions

asymmetry4 fields · 5 citationsjingle · one word, four constructsentropy6 fields · 12 citationsjingle · one name, six constructsadverse selection4 names · 4 citationsjangle · hidden information skews the market

References

  1. Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379–423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
  2. Stigler, G. J. (1961). The economics of information. Journal of Political Economy, 69(3), 213–225. https://doi.org/10.1086/258464
  3. Akerlof, G. A. (1970). The market for "lemons": Quality uncertainty and the market mechanism. The Quarterly Journal of Economics, 84(3), 488–500. https://doi.org/10.2307/1879431
  4. Crick, F. (1970). Central dogma of molecular biology. Nature, 227(5258), 561–563. https://doi.org/10.1038/227561a0
  5. Floridi, L. (2004). Outline of a theory of strongly semantic information. Minds and Machines, 14(2), 197–221. https://doi.org/10.1023/B:MIND.0000021684.50925.c9

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