Cited by 119Epistemology, Ethics, and MetaphysicsPhilosophy and Theoretical SciencePhilosophy and History of Science

INFORMATION WITHOUT TRUTH

SCARANTINO, ANDREA, PICCININI, GUALTIERO·2010·Metaphilosophy

Abstract

Abstract:According to the Veridicality Thesis, information requires truth. On this view, smoke carries information about there being a fire only if there is a fire, the proposition that the earth has two moons carries information about the earth having two moons only if the earth has two moons, and so on. We reject this Veridicality Thesis. We argue that the main notions of information used in cognitive science and computer science allowAto have information about the obtaining ofpeven whenpis false.

AI snapshot

Written from the paper’s full text.

TL;DR

The paper rejects the Veridicality Thesis, arguing that information does not require truth for either natural or nonnatural information. It defends probabilistic natural information and false or non-truth-evaluable nonnatural information as legitimate notions used in cognitive science and computer science.

Key findings

  • For natural information, the authors reject VTN in favor of the Probability Raising Thesis (PRTN): a signal \(s\) being \(F\) carries natural information about \(o\) being \(G\) if \(P(o \text{ is } G \mid s \text{ is } F) > P(o \text{ is } G \mid \neg(s \text{ is } F))\). Thus a token signal can carry natural information about an event that fails to obtain.
  • For nonnatural information, the authors reject VTNN: false declarative information is still information. They treat nonnatural information as representation, which by definition can get things wrong; for example, “The earth has two moons” carries nonnatural information just like “The earth has one moon.”
  • Nonnatural information need not be truth-evaluable at all. Commands, other nondeclarative speech acts, and computer instructions carry information but are neither true nor false.
  • The authors argue that Floridi’s arguments from splitting and semantic loss do not establish VTNN; false information is epistemically inferior to true information but remains information.

Methods

  • Conceptual and philosophical analysis, not an empirical study. The paper distinguishes natural from nonnatural semantic information, formulates VTN, PRTN, and VTNN, and evaluates them against examples and existing theories.
  • Main analysis proceeds through illustrative cases—spots/measles, smoke/fire, doorbell/visitor, bus bell, maps, a chemistry manuscript, and computer data/instructions—and engages with Dretske, Cohen and Meskin, and Floridi.
  • No original quantitative data or statistical results are reported; the paper cites Chen (2002) as an example of cognitive-science usage of false information.

Limitations

  • The paper states no formal limitations section. It explicitly says its aim is not to naturalize intentionality or to explain how representation works or whether representation can be naturalized.
  • Evident from the text: the argument is conceptual and relies on usage in cognitive science, computer science, and ordinary language rather than empirical testing.
  • Evident from the text: the authors do not propose a single unified theory of information; they argue only that the Veridicality Thesis should not be treated as germane to the main notions of information in cognitive science and computer science.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1111/j.1467-9973.2010.01632.x

Cites

29 of 29 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

4 of 11 cited sources checked · 3 supported · 0 flagged · accuracy not yet measured

  • Findingreasoning
    § 3. Natural Information Without Truth · p. 4

    Spots carry natural information about measles because patients with spots are more likely to have measles than patients without spots.

    “On this view, spots carry natural information about measles not because all and only patients with spots have measles but because patients with spots are more likely to have measles than patients without spots.”
    Quote in the paperSubstantial claim
  • Interpretationreasoning
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 9

    The argument from splitting is question-begging.

    “Thus, the argument is question-begging.”
    Quote in the paperSubstantial claim
  • Interpretationreasoning
    § 5.2. Non-Truth-Evaluable Information · p. 13

    Requiring nonnatural information to be true would prevent us from understanding nondeclarative speech acts as having anything to do with information transfer.

    “Requiring nonnatural information to be true would prevent us from understanding nondeclarative speech acts as having anything to do with information transfer.”
    Quote in the paperNot a substantial claim
  • Interpretationreasoning
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 10

    If every true proposition in a chemistry manuscript were replaced by a true proposition from a biology manuscript with the same amount of information, there would be major qualitative information loss even though total quantity remains the same.

    “For example, suppose that every true proposition in a chemistry manuscript were to be replaced by a true proposition taken from a biology manuscript, and let's assume that the amount of information carried by the pertinent chemical and biological truths is the same. In this case, there would be major information loss in the qualitative sense-the sense that matters to us in most practical contexts-”
    Quote in the paperNot a substantial claim
  • Interpretationreasoning
    § 5.2. Non-Truth-Evaluable Information · p. 13

    Tracking the uses of 'information' in cognitive science and computer science demands considering forms of nonnatural information that are not truth-evaluable.

    “Tracking the uses of ''information'' in cognitive science and computer science demands considering forms of nonnatural information that are not truth-evaluable.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. 39
  • May combine two claims. 21
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 8

    The most articulate defense of VTNN has been offered by Floridi (2005, 2007).

    “The most articulate defense of VTNN has been offered by Floridi (2005, 2007), who gives two main arguments in support of the thesis that false ''nonnatural information'' is not really information: the argument from splitting and the argument from semantic loss .”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites Floridi 2005 source
    • cites Floridi 2007
  • Classified as probably not a substantial claim.

    Premisecitation
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 8

    Floridi gives two main arguments in support of the thesis that false nonnatural information is not really information: the argument from splitting and the argument from semantic loss.

    “The most articulate defense of VTNN has been offered by Floridi (2005, 2007), who gives two main arguments in support of the thesis that false ''nonnatural information'' is not really information: the argument from splitting and the argument from semantic loss .”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites Floridi 2005 source
    • cites Floridi 2007

      Section 2.4 argues that adding a false statement can cause semantic loss of informative content, and the Conclusion says false information does not qualify as information. But the Introduction describes this paper as offering one argument in five steps; our copy does not present an argument from splitting or identify these as two main arguments. Page numbers are unavailable in our copy. (LLM, conf=0.85)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Findingnone given
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 9

    That the earth has two moons is both nonnatural information and false.

    “As far as we are concerned, that the earth has two moons is both nonnatural information and false.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisenone given
    § 3. Natural Information Without Truth · p. 5

    Signals carry natural information about anything they reliably correlate with.

    “The core idea of a probabilistic theory of information is that signals carry natural information about anything they reliably correlate with.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationnone given
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 9

    The content of this intuition is nothing but an instance of the general thesis to be established.

    “The content of this intuition is nothing but an instance of the general thesis to be established.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Premisenone given
    § 3. Natural Information Without Truth · p. 5

    Reliable correlations are the sorts of correlations information users can count on to hold in some range of future and counterfactual circumstances.

    “Reliable correlations are the sorts of correlations information users can count on to hold in some range of future and counterfactual circumstances.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § 6. An Objection · p. 15

    We need a theory of the conditions under which signals carry natural information.

    “We need a theory of the conditions under which signals carry natural information.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning
    § 5.2. Non-Truth-Evaluable Information · p. 14

    Instructions are neither true nor false, because they are not truth-evaluable at all.

    “But instructions are neither true nor false, because they are not truth-evaluable at all.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning
    § 5.1. False Information · p. 12

    If we accept VTNN, we should endorse an error theory according to which cognitive scientists are mistaken about the nature of cognition, and the view that cognition involves information processing is at best incomplete.

    “If we accept VTNN, we should endorse an error theory to make sense of this way of talking. According to such a theory, cognitive scientists are mistaken about the nature of cognition. Since false nonnatural information is not really information (as per VTNN), the view that cognition involves information processing is at best incomplete.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationnone given
    § 5.2. Non-Truth-Evaluable Information · p. 14

    Computer scientists usually assign computer data a semantic interpretation, so data can have semantic content and thus can carry information.

    “Computer scientists usually assign computer data a semantic interpretation-data can have semantic content. Thus data can carry information.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning
    § 6. An Objection · p. 15

    Our rejection of VT is consistent with the pluralism we advocated in section 2.

    “In other words, our rejection of VT is consistent with the pluralism we advocated in section 2.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning
    § 2. Information as a Mongrel Concept · p. 3

    Nonnatural information is in need of naturalistic explication just as much as intentional content.

    “We agree that nonnatural information is in need of naturalistic explication just as much as intentional content.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § 5.1. False Information · p. 11

    A recent study on aging found that older adults were more likely than young adults to believe false information and their dispositional ratings were reliably biased by the valence of false information.

    “For instance, a recent study on how aging affects belief found that ''[o]lder adults were more likely than young adults to believe false information and their dispositional ratings were reliably biased by the valence of false information'' (Chen 2002, 217).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Chen 2002 source
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Premisereasoning
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 10

    When we worry about information loss, we are generally concerned with whether an information repository carries the same information it originally carried, and whether new information has the same epistemic value as the original.

    “When we worry about information loss, we are not primarily-if at all-concerned with the quantity of information contained in a repository. Rather, we are generally concerned with whether an information repository carries the same information it originally carried.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisecitation
    § 3. Natural Information Without Truth · p. 4

    The relata of the natural information relation are events, understood as property exemplifications at a time.

    “Following Dretske (1981), we take the relata of the natural information relation to be events , understood as property exemplifications at a time (cf. Kim 1976).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Dretske 1981

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Kim 1976 source
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationnone given
    § 7. Conclusion · p. 16

    Defining a specialized notion of information that entails some version of the Veridicality Thesis may still be useful for some specific purposes.

    “We have emphasized that defining a specialized notion of information that entails some version of the Veridicality Thesis may still be useful for some specific purposes.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationnone given
    § 7. Conclusion · p. 16

    The notion of (declarative) nonnatural information is best understood as the notion of representation, which by definition can be false.

    “The notion of (declarative) nonnatural information is best understood as the notion of representation, which by definition can be false.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning
    § 3. Natural Information Without Truth · p. 6

    If o being G is much more probable given the signal s being F than without it, s being F carries a lot of probabilistic natural information about o being G; if the probability increases only marginally, it carries a limited amount.

    “For instance, if o being G is much more probable given the signal constituted by s being F than it would have been without the signal, s being F carries a lot of probabilistic natural information about o being G . If, instead, the probability of o being G increases only marginally given the signal, s being F carries a limited amount of probabilistic natural information about o being G .”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 11

    In the first two cases (physical and syntactic information loss), information is destroyed but not replaced with any new nonnatural information; there is information loss in the quantitative, qualitative, and epistemic-value senses.

    “In the first two cases, information is destroyed but not replaced with any new nonnatural information. There is information loss in the quantitative sense, in the qualitative sense, and in the epistemic-value sense.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 9

    Under a quantitative reading of 'loss of information,' if all true propositions in a repository are transformed into false propositions and VTNN is rejected, the total amount of information does not change.

    “On this construal, if all the manuscript's true propositions are transformed into false propositions, and VTNN is rejected, there is no loss of information, because the total amount of information does not change.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: The amount of true information carried by a true proposition is equal to the amount of false information carried by its negation.
  • May combine two claims.

    Interpretationreasoning
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 11

    In the third case (semantic information loss), information is destroyed and replaced with new false, epistemically inferior nonnatural information; there is information loss in the qualitative and epistemic-value senses, though not in the quantitative sense.

    “In the third case, information is destroyed and replaced with new (false, and thus epistemically inferior) nonnatural information. There is information loss in the qualitative sense and in the epistemic-value sense, though not in the quantitative sense.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Premisereasoning
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 8

    When we say that something is a false impression or a false testimony, we do not mean that they are, respectively, not an impression and not a testimony.

    “Similarly, when we say that something is a false impression or a false testimony, we do not mean that they are, respectively, not an impression and not a testimony.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationnone given
    § 5. Nonnatural Information Without Truth · p. 11

    In the case of natural information, the need to capture the explanatory power of the notion of information requires positing the notion of probabilistic information.

    “In the case of natural information , the need to capture the explanatory power of the notion of information requires positing the notion of probabilistic information .”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § 5.1. False Information · p. 12

    The notion of nonnatural information used in cognitive science is best interpreted as the notion of representation, where a representation is by definition something that can get things wrong.

    “The notion of nonnatural information used in cognitive science is best interpreted as the notion of representation , where a representation is by definition something that can get things wrong.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 8

    False information may be analogous to false propositions, impressions, and testimonies.

    “False information may be analogous to false propositions, impressions, and testimonies.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § 7. Conclusion · p. 16

    Such a specialized notion should not be understood as germane to the main notions of information used in cognitive science and computer science.

    “Our point is that such a specialized notion should not be understood as germane to the main notions of information used in cognitive science and computer science.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 10

    Since false information is epistemically inferior to true information, negating true propositions is a way to incur information loss by semantic means.

    “Since false information is epistemically inferior to true information, negating true propositions is a way to incur information loss by semantic means.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: False information is epistemically inferior to true information.
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § 5.1. False Information · p. 12

    Nonnatural information as used in cognitive science has the capacity to get things wrong, so it can be false.

    “Nonnatural information as used in cognitive science has the capacity to get things wrong, so it can be false.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning
    § 5.2. Non-Truth-Evaluable Information · p. 14

    There is no intrinsic difference between instructions and data, and both have semantic content.

    “Yet, there is no intrinsic difference between instructions and data. In addition, both have semantic content.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationreasoning
    § 5.2. Non-Truth-Evaluable Information · p. 13

    If you tell someone to buckle up, you give them information on what to do, but what you say is not true-not because it's false, but because it's not truth-evaluable.

    “Consider giving people information on what to do. If you tell us to buckle up, you give us information. You inform us on what to do. But what you say is not true-not because it's false, but because it's not truth-evaluable.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given
    § 2. Information as a Mongrel Concept · p. 2

    The three rings on the bell of the bus carry nonnatural information about the bus being full by virtue of a convention.

    “By contrast, the three rings on the bell of the bus carry nonnatural information about the bus being full by virtue of a convention.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § 5. Nonnatural Information Without Truth · p. 11

    Our main reason to maintain that nonnatural false information is information too mirrors our reason to posit nonnatural information in the first place: it allows us to capture important uses of the term 'information.'

    “Our main reason to maintain that nonnatural false information is information too mirrors our reason to posit nonnatural information in the first place: it allows us to capture important uses of the term ''information.''”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning
    § 3. Natural Information Without Truth · p. 6

    Paradigmatic signals do not guarantee the occurrence of measles, fire, and visitors; they simply make such occurrences significantly more likely.

    “It follows that these paradigmatic signals do not guarantee the occurrence of, respectively, measles , fire , and visitors . They simply make such occurrences significantly more likely.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Correlations are rarely perfect; spots are occasionally produced by mumps, smoke by smoke machines, and doorbell rings by naughty kids.
  • Classified as probably not a substantial claim.

    Interpretationnone given
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 9

    The argument from splitting requires the brute intuition that that the earth has two moons is not information.

    “But it requires the brute intuition that that the earth has two moons is not information.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning
    § 5.2. Non-Truth-Evaluable Information · p. 14

    Given that non-truth-evaluable information carried by computer instructions and nondeclarative speech acts is information, and that the information carried by true data and true declarative information is information, it's hard to see why the information carried by false data and false declarative sentences should not be information too.

    “Given that non-truth-evaluable information carried by computer instructions and nondeclarative speech acts is information, and that the information carried by true data and true declarative information is information, it's hard to see why the information carried by false data and false declarative sentences should not be information too.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationnone given
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 11

    Our distinctions allow us to distinguish between physical and syntactic information loss on the one hand and semantic information loss on the other.

    “Moreover, our distinctions allow us to neatly distinguish between physical and syntactic information loss on the one hand and semantic information loss on the other.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning
    § 5.1. False Information · p. 12

    It is clear that computer scientists include both true and false information under the rubric of (nonnatural) information, which is yet another reason to conclude that false information is information too.

    “It is clear that computer scientists include both true and false information under the rubric of (nonnatural) information. This is yet another reason to conclude that false information is information too.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Computer scientists include both true and false information under the rubric of (nonnatural) information.
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § 6. An Objection · p. 15

    We need a theory of the conditions under which signals carry nonnatural information.

    “We also need a theory of the conditions under which signals carry nonnatural information.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisenone given
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 8

    When we say of x that it is a false proposition, we do not mean that x is not a proposition.

    “As Floridi acknowledges, when we say of x that it is a false proposition, we do not mean that x is not a proposition.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning
    § 5.1. False Information · p. 12

    If we accept VTNN, we should conclude that computer scientists are mistaken: computers are more than information processors-they are misinformation processors as well.

    “If we accept VTNN, we should conclude that computer scientists are also mistaken: computers are more than information processors-they are misinformation processors as well.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Computer scientists include both true and false information under the rubric of (nonnatural) information.
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationnone given
    § 3. Natural Information Without Truth · p. 5

    The goal of an information-based account of knowledge has led many to neglect cases of probabilistic natural information that do not yield knowledge, yet fully qualify as information.

    “The goal of an information-based account of knowledge has led many to neglect cases of probabilistic natural information that do not yield knowledge, yet fully qualify as information.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning
    § 7. Conclusion · p. 16

    Nonnatural information need not be truth-evaluable at all-the information contained in nondeclarative speech acts and computer instructions is neither true nor false, because it is not truth-evaluable.

    “Finally, we have argued that nonnatural information need not be truth-evaluable at all-the information contained in nondeclarative speech acts and computer instructions is neither true nor false, because it is not truth-evaluable.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Premisenone given
    § 2. Information as a Mongrel Concept · p. 2

    Spots carry natural information about measles by virtue of a reliable physical correlation between measles and spots.

    “Spots carry natural information about measles by virtue of a reliable physical correlation between measles and spots.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning
    § 3. Natural Information Without Truth · p. 5

    The true thesis that information is capable of yielding knowledge gets confusedly mixed with the false thesis that information yields knowledge in all cases.

    “In other words, the true thesis that information is capable of yielding knowledge gets confusedly mixed with the false thesis that information yields knowledge in all cases .”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 10

    If we reject VTNN, we can say that after negating a proposition we have new information instead of the original, but we can also say without inconsistency that we have lost the original information.

    “If we reject VTNN, we can say that after negating a proposition, we now have some new information instead of the original information. But we can also say, without inconsistency, that we have lost the original information-the information carried by the original proposition.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationreasoning
    § 6. An Objection · p. 15

    As long as there are legitimate theoretical objectives fulfilled by the theory, endorsing a truth requirement on information need not be a liability.

    “As long as there are legitimate theoretical objectives fulfilled by the theory-from the naturalization of knowledge to the solution of certain puzzles 18 -endorsing a truth requirement on information need not be a liability.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning
    § 5.1. False Information · p. 12

    The sentence 'Water is not H2O' gets things wrong with respect to the chemical composition of water, but it does not fail to represent that water is not H2O.

    “The sentence ''Water is not H2O'' gets things wrong with respect to the chemical composition of water, but it does not fail to represent that water is not H2O.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning
    § 3. Natural Information Without Truth · p. 6

    A signal must carry the natural information that o is G only if o is G, but o need not be G for a signal to carry natural information about o being G.

    “In summary, we think that o must be G in order for a signal to carry the natural information that o is G , but that o need not be G in order for a signal to carry natural information about o being G .”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S1 (asserted). May combine two claims.

    Premisecitation
    § 4. Nonnatural Information: The Case for the Veridicality Thesis · p. 8

    When we say that x is a false duck or a false policeman, in effect we are saying that x is not a duck or x is not a policeman.

    “When we say that x is a false duck, or a false policeman, in effect we are saying that x is not a duck, or x is not a policeman.”
    Quote in the paperNot a substantial claim
49 of 49
  • The authors state this as an assumption.

    Information is a mongrel concept in need of disambiguation.

    “We endorse this second assumption: information is a mongrel concept in need of disambiguation.”
  • The paper relies on this without support.

    The notion of information as used in the special sciences often presupposes intentional content.

    “The problem is that the notion of information as used in the special sciences often presupposes intentional content.”
  • The paper relies on this without support.

    Most other people, including most cognitive scientists and computer scientists, accept that a false p can constitute nonnatural information.

    “We do! And so, we submit, do most other people, including most cognitive scientists and computer scientists.”
  • The paper relies on this without support.

    What explains cognition and behavior is, more often than not, probabilistic information.

    “What explains cognition and behavior is, more often than not, probabilistic information.”
  • The paper relies on this without support.

    Organisms survive and reproduce by tuning themselves to reliable but imperfect correlations between internal variables and environmental stimuli, and between environmental stimuli and threats and opportunities.

    “Organisms survive and reproduce by tuning themselves to reliable but imperfect correlations between internal variables and environmental stimuli, and between environmental stimuli and threats and opportunities.”
  • The paper relies on this without support.

    Correlations are rarely perfect; spots are occasionally produced by mumps, smoke by smoke machines, and doorbell rings by naughty kids.

    “Yet correlations are rarely perfect. Spots are occasionally produced by mumps, smoke is occasionally produced by smoke machines, and doorbell rings are occasionally produced by naughty kids who immediately run away.”
  • The authors state this as an assumption.

    The amount of true information carried by a true proposition is equal to the amount of false information carried by its negation.

    “(Following Floridi, we are assuming that the amount of true information carried by a true proposition is equal to the amount of false information carried by its negation.)”
  • The paper relies on this without support.

    False information is epistemically inferior to true information.

    “Since false information is epistemically inferior to true information, negating true propositions is a way to incur information loss by semantic means.”
  • The authors state this as an assumption.

    A proposition and its negation are different pieces of information.

    “Presumably, a proposition and its negation are different pieces of information.”
  • The paper relies on this without support.

    Computer scientists include both true and false information under the rubric of (nonnatural) information.

    “It is clear that computer scientists include both true and false information under the rubric of (nonnatural) information.”
  • The paper relies on this without support.

    A core insight of modern computer science is the equivalence of data and instructions.

    “A core insight of modern computer science, which made possible the design of universal digital computers, 16 is the equivalence of data and instructions .”
11 of 11

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. Carnap Rudolf andYehoshuaBar‐Hillel.1952. “An Outline of a Theory of Semantic Information.” Massachusetts Institute of Technology Research Laboratory of Electronics Technical Report No. 247. Cambridge Mass.: Massachusetts Institute of Technology.
  2. Lewis David., 1973, Counterfactuals
  3. Piccinini Gualtiero, Computation vs. Information Processing, Studies in the History and Philosophy of Science

Cited by

Sorted by citations

Authors
SCARANTINO, A., & PICCININI, G.
Affiliations
  • Georgia State University (US)
  • University of Missouri–St. Louis (US)
Venue
Metaphilosophy
Publisher
Wiley
Published
2010-04
Volume
41
Issue
3
Pages
313-330
ISSN
  • 0026-1068 (ISSN-L)
  • 1467-9973
OpenAlex
W2035828145
Cited by
119
References
29
Citations by year
2026: 1 · 2025: 4 · 2024: 5 · 2023: 5 · 2022: 6 · 2021: 10 · 2020: 22 · 2019: 12 · 2018: 8 · 2017: 7 · 2016: 2 · 2015: 11 · 2014: 7 · 2013: 7 · 2012: 6
FWCI
51.64
Type
journal article
Language
en
Open access
closed
Locations
Metaphilosophy (publishedVersion)
Topics
  • Social Sciences › Arts and Humanities › Philosophy › Epistemology, Ethics, and Metaphysics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
Keywords
information, truth, information content, cognitive science, philosophy of information

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-28.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-28.

Cited sources are checked by gpt-6-sol.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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