Cited by 181Legal processes and jurisprudenceEpistemology, Ethics, and MetaphysicsCriminal Law and Evidence

Juridical Proof and the Best Explanation

Pardo, Michael S., Allen, Ronald J.·2008·Law and Philosophy

AI snapshot

Written from the paper’s full text.

TL;DR

The paper argues that juridical proof is best understood as inference to the best explanation (IBE), not primarily as Bayesian or probability-based modeling. It claims IBE better explains relevance, probative value, standards of persuasion, and institutional features such as reliance on jurors and sufficiency devices.

Key findings

  • IBE accounts for both macro- and micro-level proof: relevance and probative value depend on how well evidence is explained by a party’s explanation, while preponderance is the better explanation favoring a party, beyond a reasonable doubt requires no plausible explanation consistent with innocence, and clear-and-convincing requires an explanation sufficiently more plausible than the other side’s.
  • Probability accounts are “parasitic” on explanatory considerations: Bayesian approaches cannot generate potential theories, and explanatory criteria guide judgments about likelihood; IBE also avoids the formal conjunction paradox that Bayesian element-conjunction models create.
  • The paper reports Bayesian conjunction-paradox numbers: for two elements the average probability for each element must be approximately .707; for three elements .794; for four elements .841. It gives the example that a plaintiff wins by proving each element to .6 despite a likelihood of .36, but loses when proving one element to .9 and the other to .5, with a likelihood of .45.
  • In the Blue cab example, Bayes’ Theorem yields .41, while test subjects’ median answer was .80; when given causal base-rate framing, the median dropped to .60. The authors argue the difference is explanatory, not a mere error. In Nance’s street-light example, probabilities are red = .42, green = .30, yellow = .28; the probability approach says defendant wins, and the authors argue an explanation-based account can also support that result through the contrast “red” versus “green or yellow.”

Methods

  • Conceptual and analytical essay in law and philosophy; no original empirical sample, dataset, or statistical analysis is reported.
  • The argument applies IBE to trial proof, compares it with Bayesian/probability accounts, and uses legal doctrine plus hypothetical examples such as the maid/necklace, heartburn, Blue cab, and street-light cases.
  • Main analysis is normative/descriptive: it claims IBE better describes and justifies evidence law, standards of proof, and judicial and juror decision-making.

Limitations

  • The authors acknowledge vagueness in how “sufficiently plausible” an explanation must be for beyond-a-reasonable-doubt or clear-and-convincing standards, but argue that this vagueness inheres in the standards themselves. They also state there is no formula for combining explanatory criteria; criteria must be weighed contextually.
  • The text makes evident that the paper offers no original empirical test or formal model of its account and relies on conceptual argument, hypotheticals, and cited empirical jury literature rather than new data.

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

Integrity signals

Registry

Crossref · 10.1007/s10982-007-9016-4

Cites

Statistics

Nothing to recompute.

Claims the paper makes

0 of 29 cited sources checked · 0 supported · 0 flagged

  • Premisecitation
    § JURIDICAL PROOF AND THE BEST EXPLANATION · p. 2

    Much theorizing about the law of evidence and the proof process has focused primarily on probability theories and Bayesian decision theory, neglecting explanation-based reasoning.

    “Although juridical proof involves these inferential practices, much theorizing about the law of evidence and the proof process has focused attention elsewhere, primarily on probability theories in general and Bayesian decision theory in particular.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [2]

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

  • Interpretationreasoning
    § B. Explanation as a Guide to Inference at Trial · p. 18

    Even if the strength of a party's total evidence could be quantified, the vagueness remains for a probability approach.

    “Even if the strength of a party Õ s total evidence could be quantified, 49 the vagueness remains for such a probability approach as well.”
    Quote in the paperSubstantial claim
  • Premisecitation
    § I. INFERENCE TO THE BEST EXPLANATION · p. 5

    Rarely, if ever, will the material inferences at trial involve deductive inferences from uncontested premises.

    “Rarely, if ever, however, will the material inferences at trial involve deductive inferences from uncontested premises.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [11]

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

  • Premisereasoning
    § A. Explanation as a Guide to Inference · p. 7

    Practical considerations and interests affect both the generation and selection steps of inference to the best explanation.

    “Practical considerations and interests affect both steps.”
    Quote in the paperNot a substantial claim
  • Premisecitation
    § I. INFERENCE TO THE BEST EXPLANATION · p. 6

    The pattern of inference at trial is primarily abductive rather than enumerative.

    “The pattern of inference at trial is primarily abductive rather than enumerative.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [15]

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

  • May combine two claims. 43
  • Classified as probably not a substantial claim. 33
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    Interpretationreasoning
    § JURIDICAL PROOF AND THE BEST EXPLANATION · p. 3

    The better account of micro-level proof issues carries wide-ranging consequences for the admissibility of all types of evidence, from testimony to complex scientific evidence such as DNA to other kinds of statistical evidence, and explains and justifies the open-ended nature of the evidence rules in this area.

    “This conclusion, in turn, carries wide-ranging consequences for the admissibility of all types of evidence, from testimony of first-hand observations to complex scientific evidence such as DNA to other kinds of statistical evidence. This conclusion also explains and justifies the open-ended nature of the evidence rules in this area.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [5]

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

  • May combine two claims.

    Premisecitation
    § A. Explanation as a Guide to Inference · p. 11

    The circularity of self-evidencing explanations is not vicious or problematic; it helps illuminate how explanation can guide inference and is well supported by current scientific and everyday inferential practices.

    “This circularity, however, is not vicious or problematic; rather, it helps to illuminate how explanation can guide inference and is well supported by current scientific and everyday inferential practices.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [28]

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

  • May combine two claims.

    Interpretationreasoning
    § JURIDICAL PROOF AND THE BEST EXPLANATION · p. 2

    The process of inference to the best explanation itself best explains both the macro-structure of proof at trial and the micro-level issues regarding the relevance and value of particular items of evidence.

    “In this essay, we attempt to correct this neglect and to demonstrate that the process of inference to the best explanation itself best explains both the macro-structure of proof at trial and the micro-level issues regarding the relevance and value of particular items of evidence.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § JURIDICAL PROOF AND THE BEST EXPLANATION · p. 1

    In many areas of life, explanatory considerations help guide inference: from the fact that a proposition would explain a phenomenon, one infers that the proposition is true; when several propositions may explain a phenomenon, one infers the one that best explains it.

    “In many areas of life, from hard science to managing one Õ s everyday affairs, explanatory considerations help to guide inference. From the fact that some proposition would explain a given phenomenon we infer that the proposition is true. And when several propositions may explain a given phenomenon we infer the one that best explains it.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [1]

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

    • The authors state this as an assumption: Most readers have at least a basic intuitive grasp of the concept of explanation.
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationreasoning
    § B. Explanation as a Guide to Inference at Trial · p. 18

    Simply defining the standards as a certain percentage does not explain them; it changes them by fiat.

    “Moreover, simply defining the standards as a certain percentage does not explain them; it changes them by fiat. 52”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisenone given
    § A. Explanation as a Guide to Inference · p. 7

    The process of inference to the best explanation occurs in two steps: generating potential explanations of the evidence and then selecting the best explanation from the list of potential ones as an actual explanation or as the truth.

    “This process occurs in two steps: generating potential explanations of the evidence and then selecting the best explanation from the list of potential ones as an actual explanation or as the truth.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § B. Explanation as a Guide to Inference at Trial · p. 17

    Under the clear-and-convincing-evidence standard, fact-finders should infer a conclusion for the party with the burden of persuasion when there is an explanation sufficiently more plausible than those favoring the other side.

    “Rather than inferring the best explanation from the available potential ones, fact-finders should infer a conclusion for the party with the burden of persuasion when there is an explanation that is sufficiently more plausible than those that favor the other side (not just when the party with the burden has offered a better one).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisereasoning
    § B. Explanation as a Guide to Inference at Trial · p. 15

    A complementary possible concern is having too few potential explanations.

    “A complementary possible concern is having too few potential explanations.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisereasoning
    § A. Explanation as a Guide to Inference · p. 10

    Explanations do not explain evidence in its entirety; they explain aspects of evidence, and rarely explain why A simpliciter but why A rather than B.

    “Explanations do not explain evidence in its entirety; explanations explain aspects of evidence. Explanations rarely explain why A; they explain why A rather than B.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationcitation
    § B. Explanation as a Guide to Inference at Trial · p. 12

    These narratives function as self-evidencing explanations: the accepted version of events explains the evidence and the evidence provides reasons justifying acceptance of that version as the correct one.

    “These narratives function as ''self-evidencing'' explanations: the accepted version of events explains the evidence and the evidence provides reasons justifying acceptance of that version as the correct one.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [36]

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

  • May combine two claims.

    Interpretationreasoning
    § B. Explanation as a Guide to Inference at Trial · p. 16

    When there is a plausible explanation of the evidence consistent with innocence, there is a concomitant likelihood that this explanation is correct and thus that the defendant is innocent, which creates a reasonable doubt.

    “When there is a plausible explanation of the evidence consistent with innocence, then there is a concomitant likelihood that this explanation is correct (the actual explanation) and thus that the defendant is innocent, which in turn creates a reasonable doubt (and thus should prevent the fact-finder from inferring guilt). 45”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § JURIDICAL PROOF AND THE BEST EXPLANATION · p. 3

    Conclusions about the nature of legal evidence and proof have implications for virtually every legal issue that requires evaluation of individual items of evidence, bodies of evidence, or judgments in civil and criminal cases.

    “Conclusions about the nature of legal evidence and the process of proof have implications for virtually every legal issue that requires the evaluation of individual items of evidence, bodies of evidence, or judgments in civil and criminal cases.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § B. Explanation as a Guide to Inference at Trial · p. 13

    Several distinct narratives (or theories) can be constructed to explain a given body of evidence, all of which are equally plausible; their number is infinite.

    “Several distinct narratives (or theories) can be constructed to explain a given body of evidence, all of which are equally plausible. Indeed, as Richard Friedman has pointed out, their number is infinite-did the accident occur at noon or 12:01 or at one of the infinite slices of time in between (which Zeno taught us to notice)?, and so on.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [37]

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

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    Interpretationreasoning
    § B. Explanation as a Guide to Inference at Trial · p. 17

    To meet the clear-and-convincing standard, the explanation must be plausible enough that it is clearly and convincingly more plausible than those favoring the other side.

    “The explanation must be plausible enough that is it clearly and convincingly more plausible than those favoring the other side. 46”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning
    § B. Explanation as a Guide to Inference at Trial · p. 18

    Lack of precision in the standards may be a critique of the standards, but it is not a critique of an explanation-based account.

    “Lack of precision may thus be a critique of the standards, but it is not a critique of an explanation-based account.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning
    § B. Explanation as a Guide to Inference at Trial · p. 12

    The juror narrative process proceeds on explanatory grounds: jurors construct narratives to explain the evidence and choose among alternatives by applying similar criteria to those invoked in the philosophy of science.

    “This process proceeds on explanatory grounds-jurors construct narratives to explain the evidence and choose among alternatives by applying similar criteria to those invoked in the philosophy of science.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning
    § JURIDICAL PROOF AND THE BEST EXPLANATION · p. 2

    To the extent probability-based accounts take into account and supplement explanation-based considerations, they may be helpful; to the extent they ignore such explanatory considerations, they risk mismodeling the process.

    “To the extent the former take into account and attempt to supplement the latter, they may be helpful; to the extent they ignore such explanatory considerations, they risk mismodeling the process.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Premisecitation
    § C. Probability-Based Objections and the Bayesian Alternative · p. 32

    The Bayesian response to the conjunction paradox is to declare that current practices are wrong and should be changed.

    “The Bayesian response is to declare that current practices are wrong and should be changed.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Friedman, Infinite, supra note 37 at 97 n. 48

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

  • Classified as probably not a substantial claim.

    Premisecitation
    § III. IMPLICATIONS OF THE DEBATE · p. 42

    In criminal cases, defendants may challenge a criminal conviction when, based on the evidence presented, no reasonable jury could find them guilty beyond a reasonable doubt.

    “In criminal cases, defendants may challenge a criminal conviction when, based on the evidence presented, no reasonable jury could find them guilty beyond a reasonable doubt.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Jackson v. Virginia, 443 U.S. 307, 324 (1979)

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

  • May combine two claims.

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 32

    In civil cases, fact finders infer the best explanation of the evidence as a whole; in doing so they have an accepted explanation that may or may not instantiate all of the formal elements of the claim.

    “In civil cases, fact finders infer the best explanation of the evidence as a whole; in doing so they now have an accepted explanation that may or may not instantiate all of the formal elements of the claim.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 30

    Explanatory considerations are inherent and fundamental; to the extent Bayesian perspectives can clarify and improve on those considerations, they prove their worth, and to the extent they do not, they do not.

    “Explanatory considerations, however, are inherent and fundamental; to the extent Bayesian perspectives can clarify and approve on those considerations, they prove their worth. To the extent they do not, they do not.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisenone given
    § C. Probability-Based Objections and the Bayesian Alternative · p. 31

    Under the Bayesian approach, the probability of the claimant's claim must exceed the probability of the standard of persuasion.

    “As noted above, the Bayesian approach requires that the probability of the claimants Õ claim must exceed the probability of the standard of persuasion.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning
    § III. IMPLICATIONS OF THE DEBATE · p. 42

    A focus on competing explanations helps to explain and clarify the summary judgment standard: a judge ought to grant such a motion only if a jury would have to find one side's explanation more plausible than the other side's explanation.

    “But a focus on competing explanations helps to explain and clarify it. In explanatory terms, it means that a judge ought to grant such a motion only if a jury would have to find one side Õ s explanation more plausible than the other side Õ s explanation.”
    Quote in the paperSubstantial claim
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    Interpretationreasoning
    § III. IMPLICATIONS OF THE DEBATE · p. 40

    If the probability account were true, then the sum total of the moving party's evidence could be quantified and compared with a similarly quantified standard of persuasion, and the jury (and a fortiori the above-mentioned devices) would become superfluous.

    “If the probability account were true, then the sum total of the moving party Õ s evidence could be quantified and compared with a similarly quantified standard of persuasion. If this could be done, then the jury (and a fortiori the above-mentioned devices) would become superfluous.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § C. Probability-Based Objections and the Bayesian Alternative · p. 25

    Probability accounts typically employ Bayes' Theorem to guide, measure, or critique combinations of evidence and to compare the strength of evidence once a new item is introduced with the strength without that item.

    “The accounts typically employ Bayes Õ Theorem as a way to guide, measure, or critique combinations of evidence in general and to compare in particular the strength of evidence once a new item is introduced as compared with the strength of the evidence without that item. 72”
    Quote in the paperNot a substantial claim
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    Interpretationreasoning
    § III. IMPLICATIONS OF THE DEBATE · p. 40

    The explanatory nature of the proof process explains why the Federal Rules employ an open-ended system: if the value of evidence depends on how it supports the relative plausibility of competing explanations as determined by jurors based on background knowledge, then it would be impossible to specify detailed rules for determining such value in advance.

    “The explanatory nature of the process explains why. If the value of evidence depends on how it supports the relative plausibility of the competing explanations the parties offer, as determined by jurors based on the background knowledge they each bring to court, then it would be impossible to specify detailed rules for determining such value in advance.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 32

    If the accepted explanation instantiates all formal elements, the claimant ought to win; if not, not.

    “If it is does, then the claimant ought to win; if not, not.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § III. IMPLICATIONS OF THE DEBATE · p. 44

    A typical jury instruction defines 'preponderance of the evidence' as 'When you have considered all the evidence in the case, you must be persuaded that it is more probably true than not true.'

    “For example, a typical jury instruction defines ''preponderance of the evidence'' as ''When you have considered all the evidence in the case, you must be persuaded that it is more probably true than not true.''”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Federal Civil Jury Instructions of the Seventh Circuit 34

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

  • May combine two claims.

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 38

    Probability-based approaches must respect how explanatory considerations guide inference and likelihood assessments; they risk rendering erroneous conclusions when they do not.

    “Probability-based approaches must respect how explanatory considerations guide inference and likelihood assessments 125 ; they risk rendering erroneous conclusions when they do not.”
    Quote in the paperSubstantial claim
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    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 39

    The strength of the inference depends on how well it explains the evidence, which is determined by the inferential interests of the decision-maker and the contrasting explanations at issue in the case.

    “The strength of this inference will depend on how well it explains the evidence, and this in turn will be determined by the inferential interests of the decision-maker and the contrasting explanations at issue in the case (recall the maid example).”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § B. Explanation as a Guide to Inference at Trial · p. 18

    However the current standards are defined, they are met when explanations are plausible enough to cause and justify the desired inferences.

    “However the current standards are defined, they are met when explanations are plausible enough to cause and justify the desired inferences.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 34

    There is good reason to believe the standard problem of trials is not to accumulate all the stories for the parties and see which collectively adds up to greater than .5; rather, the standard problem may be something like the probability of the plaintiff's case being .4, and the respective probabilities of the two defenses each being .1.

    “Thus, there is good reason to believe the standard problem of trials is not to accumulate all the stories for the parties and see which collectively adds up to great than .5. Rather, the standard problem may be something more like the probability of the plaintiff Õ s case being .4, and the respective probabilities of the two defenses each being .1.”
    Quote in the paperSubstantial claim
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    Premisecitation
    § B. General Objections to IBE · p. 24

    The evidence will always underdetermine the conclusions of inductive inferences; this level of Humean skepticism does not single out IBE as inferior to any other inductive strategies, including Bayesian.

    “The evidence will always underdetermine the conclusions of inductive inferences: this level of Humean skepticism does not single out IBE as inferior to any other inductive strategies (including Bayesian). 66”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Lipton, supra note 1 at 142-63

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

  • Classified as probably not a substantial claim.

    Interpretationreasoning
    § III. IMPLICATIONS OF THE DEBATE · p. 40

    If the probability account were true at the micro-level, and the value of evidence could be quantified, then the law could create more-detailed evidence rules specifying admissibility criteria, or lists of admissible evidence, based upon its quantified value.

    “If the probability account were true at the microlevel, and the value of evidence could be quantified, then the law could create more-detailed evidence rules specifying admissibility criteria, or lists of admissible evidence, based upon its quantified value.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given
    § C. Probability-Based Objections and the Bayesian Alternative · p. 25

    Probability-based accounts attempt to assign a cardinal probability between 0 and 1 to account for both the strength of individual items of evidence and the strength of a party's case as a whole.

    “They attempt to assign a cardinal probability of between 0 and 1 to account for both the strength of individual items of evidence and the strength of a party Õ s case as a whole. 70”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 34

    In a case where the plaintiff's case probability is .4 and each of two defenses is .1, the Bayesian approach would result in a defense verdict (plaintiff has not satisfied its burden of persuasion), yet that is perverse from the point of view of reducing errors.

    “In such a case, the Bayesian approach would result in a defense verdict (plaintiff has not satisfied its burden of persuasion), yet that is perverse from the point of view of reducing errors.”
    Quote in the paperSubstantial claim
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    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 31

    A probability approach based on proof of discrete elements to the standard of persuasion does not distribute errors evenly among parties and is therefore unlikely to increase the accuracy of outcomes.

    “A probability approach based on the proof of discrete elements to the standard of persuasion does not distribute errors evenly among parties and therefore is unlikely to increase the accuracy of outcomes.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning
    § B. General Objections to IBE · p. 24

    In civil cases, if the plaintiff's explanation appears no more likely than the defendant's, judgment should be for the defendant.

    “In civil cases, if the plaintiff Õ s explanation appears no more likely than the defendant Õ s, judgment should be for the defendant.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisenone given
    § III. IMPLICATIONS OF THE DEBATE · p. 44

    Jurors are not generally given any further guidance in how to implement the preponderance standard.

    “Jurors, however, are not generally given any further guidance in how to implement the standard.”
    Quote in the paperSubstantial claim
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    Interpretationreasoning
    § IV. CONCLUSION · p. 46

    The article has attempted to provide a better explanation of the legal proof process and its features than current extant explanations, which rely on concepts from probability theory, by providing a more accurate description, explaining more of the phenomena, and demonstrating the epistemically justified implications that flow from this account.

    “We have attempted to provide a better explanation of the legal proof process and its features than current extant explanations, which rely on concepts from probability theory. We have done this by providing a more accurate description, explaining more of the phenomena, and demonstrating the epistemically justified implications that flow from this account.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 37

    In the first cab scenario, no explanatory connection exists: the fact that a Green cab caused the accident does not explain why Green cabs own 85% of the cabs in town, nor is another explanation readily apparent that would explain both pieces of data.

    “By contrast, no such explanatory connection exists in the first scenario-the fact that a Green cab caused the accident simply does not explain why they own 85% of the cabs in town, nor is another explanation readily apparent that would explain both pieces of data.”
    Quote in the paperSubstantial claim
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    Interpretationreasoning
    § IV. CONCLUSION · p. 45

    The strengths and weaknesses of competing explanations also illuminate macro-level issues regarding standards of persuasion in both civil and criminal cases, and the explanation-based account of these phenomena accords with the best understanding of the reasoning processes of jurors, avoids the formal conjunction paradox, and allows the standards to distribute errors among the parties.

    “The strengths and weaknesses of competing explanations also illuminate macro-level issues regarding standards of persuasions in both civil and criminal cases, and the explanation-based account of these phenomena accords with the our best understanding of the reasoning processes of jurors, avoids the formal conjunction paradox, and allows the standards to distribute errors among the parties.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 31

    Under the Bayesian model, as the number of elements increases, the probability needed for each element increases.

    “This would mean that as the number of elements increases, the probability needed for each element would increase as well”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § III. IMPLICATIONS OF THE DEBATE · p. 45

    Instructing the jury to consider whether there is a plausible explanation or version of events consistent with innocence, whether the prosecution's explanation is the only plausible one, or whether all plausible explanations imply guilt may provide much needed guidance and clarity to the beyond a reasonable doubt area.

    “It may not be necessary, or helpful, to define ''reasonable doubt'' in terms of explanations, but instructing the jury to consider, for example, ''whether there is a plausible explanation or version of events consistent with innocence'' or ''whether the prosecution Õ s explanation or version of events is the only plausible one'' or ''whether all plausible explanations or versions imply guilt'' may”
    Quote in the paperNot a substantial claim
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    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 30

    Just like a Bayesian approach, an explanation-based approach can account for aggregation of potential stories or theories and explain how and why it should proceed in the way that it does.

    “Just like a Bayesian approach, an explanation-based approach can account for aggregation of potential stories or theories and explain how and why it should proceed in the way that it does”
    Quote in the paperSubstantial claim
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    Interpretationreasoning
    § IV. CONCLUSION · p. 45

    The strengths and weaknesses of competing explanations illuminate micro-level issues regarding relevance and probative value, and the explanation-based account of these phenomena explains the evidence law regulating these issues, in particular the open-ended rules regarding admissibility.

    “The strengths and weaknesses of competing explanations illuminate micro-level issues regarding relevance and probative value, and the explanation-based account of these phenomena explains the evidence law regulating these issues, in particular the open-ended rules regarding admissibility.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 30

    The aggregation issue scores no additional points for the Bayesian, but the connection between explanatory and Bayesian approaches is closer and deeper.

    “This issue thus scores no additional points for the Bayesian, but the connection between the two is closer, and deeper.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisereasoning
    § III. IMPLICATIONS OF THE DEBATE · p. 40

    The Federal Rules of Evidence reject the approach of detailed quantified evidence rules and instead employ an open-ended system.

    “The Federal Rules of Evidence reject this approach, and instead employ an open-ended system.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Fed. R. Evid. 401, 403

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

  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 35

    Relative plausibility provides an easy, non-perverse answer: plaintiff wins.

    “Relative plausibility provides an easy, non-perverse answer: plaintiff wins.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Premisereasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 25

    Because such decision procedures are rarely if ever followed at trial, the primary motivation of such projects is to illuminate how an ideal rational fact-finder would behave, and perhaps to offer normative advice on how that ideal may be closer realized or how the law ought to be changed.

    “Because such decision procedures are rarely if ever followed at trial, the primary motivation of such projects is to illuminate how an ideal rational fact-finder would behave, and perhaps to offer normative advice on how that ideal may be closer realized or how the law ought to be changed.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning
    § B. General Objections to IBE · p. 24

    The plaintiff has failed to produce sufficient evidence from which a reasonable factfinder could differentiate among the potential, contrasting explanations.

    “This is so because the plaintiff has failed to produce sufficient evidence from which a reasonable factfinder could differentiate among the potential, contrasting explanations. 68”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning
    § III. IMPLICATIONS OF THE DEBATE · p. 39

    Understanding the standards in terms of competing explanations more accurately describes what occurs at trial, is consistent with the best understanding of the reasoning processes of jurors, avoids the formal conjunction paradox, and allows the standards to fulfill their function of distributing errors among the parties and ultimately increasing the accuracy of outcomes.

    “Understanding the standards in terms of competing explanations more accurately describes what occurs at trial, is consistent with the our best understanding of the reasoning processes of jurors, avoids the formal conjunction paradox, and allows the standards to fulfill their function of distributing errors among the parties and ultimately increasing the accuracy of outcomes.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 30

    The Bayesian approach cannot offer advice on how to generate potential theories; explanatory considerations guide this process.

    “The Bayesian approach, for example, cannot offer advice on how to generate potential theories; explanatory considerations guide this process.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning
    § III. IMPLICATIONS OF THE DEBATE · p. 40

    Under the explanation-based account, jurors are necessary to provide the background knowledge to make contextual judgments about the strength of competing explanations and to suggest new ones.

    “By contrast, under the explanation-based account, jurors are necessary to provide the background knowledge to make contextual judgments about the strength of competing explanations and to suggest new ones-the confluence between this process and everyday judgments based on similar explanatory considerations is precisely what explains and justifies its use.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 36

    The explication of probative value demonstrates that probability models have it backwards, for these models do not capture the objective value of legal evidence; instead, they err to the extent they deviate from the results generated by explanatory criteria and are useful to the extent they respect and supplement those results.

    “The explication of probative value, rather than providing a telling critique of explanatory approaches, demonstrates that probability models have it backwards, for these models do not capture the objective value of legal evidence. Instead, they err to the extent they deviate from the results generated by explanatory criteria and are useful to the extent they respect and supplement those results.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 37

    In the cab example, the difference between the two scenarios is explanatory: a causal explanation explains why more Green cabs are involved in accidents and why the one involved in this crash is more likely to be Green-namely, that Green cabs are driven by bad drivers.

    “The difference, in other words, is explanatory. A causal explanation explains why more Green cabs are involved in accidents and also why the one involved in this crash is more likely to be Green-namely, that Green cabs are driven by bad drivers.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Tversky and Kahneman

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

  • May combine two claims.

    Interpretationreasoning
    § III. IMPLICATIONS OF THE DEBATE · p. 39

    Neglect of explanatory considerations, and focus instead on probability models, has obscured aspects of the proof process and offered misleading advice to guide and constrain legal decision-makers.

    “Neglect of explanatory considerations, and focus instead on probability models, has obscured aspects of the proof process and offered misleading advice to guide and constrain legal decision-makers.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisereasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 25

    The strength of the evidence may then be compared with standards of persuasion, which are also interpreted in terms of cardinal probabilities.

    “The strength of the evidence may then be compared with standards of persuasion, which are also interpreted in terms of cardinal probabilities (e.g., preponderance = .5; clear and convincing = .60-.70; beyond a reasonable doubt = .9, or something similar). 71”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 37

    A Green cab either was involved or it was not, meaning the probability is 0 or 1.

    “A Green cab either was involved or it was not, meaning the probability is 0 or 1.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisereasoning
    § B. General Objections to IBE · p. 24

    In the legal context, parties' explanations or theories must first pass the test of explaining the key, contested items of evidence in a given case.

    “In the legal context, parties Õ explanations or theories must first pass the test of explaining the key, contested items of evidence in a given case.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 39

    When assessing the probative value of items of evidence, one must focus on explanatory criteria.

    “When it comes, therefore, to assessing the probative value of items of evidence, one must focus on explanatory criteria.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning
    § IV. CONCLUSION · p. 45

    Explanatory considerations guide the inferential processes at trial, and the trial's structural features may be explained in terms of these considerations.

    “Explanatory considerations guide the inferential processes at trial, and the trial Õ s structural features may be explained in terms of these considerations.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisereasoning
    § B. General Objections to IBE · p. 24

    Parties are then given the responsibility of further probing the other side's explanation, either through cross-examination or by offering rebuttal evidence.

    “And parties are then given the responsibility of further probing the other side Õ s explanation, either through cross-examination or by offering rebuttal evidence.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § III. IMPLICATIONS OF THE DEBATE · p. 45

    Making the explanatory task explicit provides the missing guidance for the beyond a reasonable doubt standard.

    “Making the explanatory task explicit provides this missing guidance.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 32

    Under the Bayesian approach, if a plaintiff must prove injury and one other independent element, they would have to show the probability of injury was around .707; if two additional unrelated elements are added, the plaintiff's burden with regard to injury shoots up on average to around .841.

    “For example, suppose a plaintiff has to prove injury and one other independent element-they would have to show the probability of injury was around .707. But suppose two additional elements are added in that have nothing to do with whether the plaintiff suffered an injury. The plaintiff Õ s burden with regard to injury now shoots up on average to around .841.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Premisecitation
    § III. IMPLICATIONS OF THE DEBATE · p. 45

    Much of the confusion surrounding the beyond a reasonable doubt standard arises because instructions focus more on the subjective mental state the jurors ought to have rather than on providing them with guidance in how to draw conclusions from the evidence.

    “As Larry Laudan has recently argued, much of the confusion surrounding the standard arises because instructions focus more on the subjective mental state the jurors ought to have rather than on providing them with guidance in how to draw conclusions from the evidence (other than consulting their subjective mental states).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Laudan, supra note 48 at 51-62

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

  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning
    § III. IMPLICATIONS OF THE DEBATE · p. 42

    In explanatory terms, the criminal sufficiency standard means that no reasonable jury could find the defendant's explanation to be implausible or that all of the plausible explanations imply his guilt.

    “In explanatory terms, this means that no reasonable jury could find his explanation to be implausible or that all of the plausible explanations imply his guilt.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning
    § C. Probability-Based Objections and the Bayesian Alternative · p. 31

    The probability approach leads to paradoxical conclusions such as: the plaintiff in a two-element claim wins when proving each element to .6 (despite a likelihood of .36) and loses when proving one element to .9 and the other to .5 (and having a likelihood of .45).

    “Rather, it leads to paradoxical conclusions such as the following: the plaintiff in a twoelement claim wins when proving each element to .6 (despite a likelihood of .36) and loses when proving one element to .9 and the other to .5 (and having a likelihood of .45).”
    Quote in the paperSubstantial claim
68 of 68
  • The authors state this as an assumption.

    Most readers have at least a basic intuitive grasp of the concept of explanation.

    “It is a concept of which we assume most readers have at least a basic intuitive grasp.”
  • The paper relies on this without support.

    Trials involve disputes over everyday objects such as people and property and contracts; rarely, if ever, will there be a litigated dispute over whether certain theoretically posited entities or theoretical laws actually exist or are only empirically adequate.

    “Trials involve disputes over everyday objects such as people and property and contracts; rarely, if ever, will there be a litigated dispute over whether certain theoretically posited entities or theoretical laws actually exist or are only empirically adequate. 64”
  • The paper relies on this without support.

    The relative plausibility theory rests upon inference to the best explanation.

    “Professor Friedman presents his hypothetical as a criticism of the relative plausibility theory, which in turn rests upon IBE.”
  • The paper relies on this without support.

    IBE is at root based on the notion that explanatory success tracks likelihood of truth: the better the explanation, the more likely true.

    “IBE is, at root, based on the notion that explanatory success tracks likelihood of truth-the better the explanation, the more likely true.”
  • The paper relies on this without support.

    The criminal standard distributes errors unevenly in favor of the defendant.

    “Because the criminal standard distributes errors unevenly (in favor of the defendant), it should not be surprising that the quality of the explanation needed for a pro-defendant verdict should therefore be lower.”
  • The paper relies on this without support.

    The structure of proof accommodates deficiencies in how well the evidence probes explanations.

    “During this process, the evidence may fail to adequately probe either explanation sufficiently, but the structure of proof accommodates such deficiencies.”
  • The authors state this as an assumption.

    The elements of a claim are independent from one another: the likelihood of one element being true does not affect the likelihood of any other element being true.

    “This assumes that the elements are independent from one another (viz., that the likelihood on one element being true does not affect the likelihood of any other element being true), which often will not be the case in the law.”
7 of 7

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Tversky and Kahneman cited as note 114 instead of note 115

    Minor

    The cited work appears in note 115; note 114 discusses Nance and Morris.

1 of 1

Cited by

Sorted by citations

Authors
Pardo, M. S., & Allen, R. J.
Affiliations
  • University of Alabama (US)
  • Northwestern University (US)
Corresponding author
Pardo, Michael S.
Venue
Law and Philosophy
Published
2007-09-21
Volume
27
Issue
3
Pages
223-268
ISSN
  • 0167-5249 (ISSN-L)
  • 1573-0522
OpenAlex
W2051652878
Cited by
181
References
0
Citations by year
2026: 6 · 2025: 7 · 2024: 29 · 2023: 14 · 2022: 12 · 2021: 15 · 2020: 13 · 2019: 13 · 2018: 16 · 2017: 3 · 2016: 6 · 2015: 6 · 2014: 6 · 2013: 8 · 2012: 12
FWCI
46.90
Type
journal article
Language
en
Open access
closed
Locations
  • Law and Philosophy (publishedVersion)
  • bepress Legal Repository (submittedVersion)
Topics
  • Social Sciences › Law › Legal processes and jurisprudence
  • Social Sciences › Arts and Humanities › Philosophy › Epistemology, Ethics, and Metaphysics
  • Social Sciences › Law › Criminal Law and Evidence
Keywords
legal proof, inference to the best explanation, abduction, burden of proof, summary judgment, sufficiency of evidence, admissibility of evidence, evidentiary value, scientific evidence, statistical evidence, civil and criminal cases

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