RSS

Category Archives: Confirmation Theory

Contrastive Bayesianism

One way to argue against Elliot Sober’s Contrastive Empiricism is to claim that the approach violates an important principle of confirmation theory. Branden Fitelson (2010) has done this in a recent paper by providing a counterexample to Sober’s Law of Likelihood (LL) for ‘favoring’ relations. According to (LL) evidence E favors hypothesis H1 over hypothesis H2 if and only if H1 confers greater probability on E than H2 does. You compare the likelihoods of alternative hypotheses. Fitelson argues against (LL) by proposing a counterexample. The counterexample includes the following facts:

  • E: The card is a spade.
  • H1: The card is the ace of spades.
  • H2: The card is black.

This makes the probabilities run as follows: Pr(E|H1) = 1 and Pr(E|H2) = 1/2. So, on (LL), E favors H1 over H2. However, this seems wrong. The truth of E guarantees (or necessitates) the truth of H2, but the truth of E doesn’t guarantee the truth of H1. This makes E conclusive evidence for H2 but not H1. So, it seems E favors H2 over H1 despite the likelihoods pointing the other direction. For Fitelson this suggests the following confirmation principle, called Conclusive Evidence (CE), a principle which (LL) violates:

  • (CE) If E constitutes conclusive evidence for H2, but E constitutes less than conclusive evidence for H1, then E favors H2 over H1.

In email correspondence with Fitelson I argued against (CE) by claiming that it causes probability and entailment to come apart. In this post I want to propose a different idea.

Carnap (1962) proposes two independent confirmation measures. The first is confirmation as firmness. Confirmation(f) tracks both truth and entailment. The second is confirmation as increase in firmness. Confirmation(i) tracks entailment in addition to an intuitive relevance. I think this suggests a Relevance (R) principle:

  • (R) If E constitutes conclusive evidence for H2, but E constitutes less than conclusive evidence for H1, then E is more relevant to H2 than H1.

If Fitelson’s use of ‘conclusive evidence’ is to work with regard to confirms(i) it should work with regard to relevance. In the card-drawing counterexample is the fact that the card is a spade (E) more relevant to the fact that the card is black (H2), or is (E) more relevant to the fact that the card is the ace of spades (H1)?

For one thing, relevance cannot be assimilated into entailment. This is because confirms(i) tracks entailment AS WELL AS relevance, according to Fitelson. If E is conclusive evidence for H, then Pr(H|E) = 1. In the counterexample, E is conclusive evidence for H2, as E establishes H2 with certainty, yet Pr(E|H2) = 1/2 and Pr(E|H1) = 1. This means H1 entails E, but H2 doesn’t. However, H2 seems more relevant to E than H1 even though H1 entails E. That the card is black is more relevant to the claim that the card is a spade than that the card is the ace of spades is relevant to the claim that the card is a spade. The latter claim is redundant whereas the former claim delimits, and adds to, the semantic content on the table. “The card is black, and by the way, the card is a spade not a club.” On this account, relevance provides non-redundant semantic information in helping the inquirer delimit the space of logical possibilities.

By contrast, it is true that if the card is a spade, then the card is black. But this is running things in the opposite direction from what I stated above. This makes it the case that the card is a spade (E) is more relevant to the claim that the card is the ace of spades (H1) than (E) is relevant to the claim that the card is black (H2). In this direction the color of the card in terms of meaning is already bound-up in the card being a spade. A spade in a standard deck is by definition a black card. My basic idea is that (intuitive) relevance is a measure of the degree to which something doesn’t participate in semantic redundancy.

In conclusion, I claimed (R) is false. Intuitive relevance, when it comes to conclusive evidence, works in the opposite direction of probabilistic strength and entailment. This means (CE), which implies (R) in order to qualify under a confirmation(i) measure, is also false. If confirmation(i) only tracks entailments, and relevance is dropped from the measure, then confirmation(i) can be assimilated into confirmation(f). This is because confirmation(i) involves necessary preservation of truth. If confirmation(i) isn’t different than confirmation(f) by virtue of tracking a type of relevance, then confirmation(i) is merely tracking truth-preservation. That is, confirmation(i) is merely tracking truth and, as such, is not independent from confirmation(f).

 

Tags:

Updated Paper: Against the Total Evidence Requirement

I just updated my Papers page with a revised version of a paper arguing Against the Total Evidence Requirement. Here’s the abstract.

ABSTRACT. The Requirement of Total Evidence (RTE) asks an agent to make her confidence in a belief proportional to the support it receives from her total evidence. This paper examines (RTE) as a norm of epistemic rationality and argues that it is problematic. Looking at the work of Peter Achinstein (2001) on the notion of evidence it becomes clear that (RTE) endorses a view of the constitution of evidence that is neither necessary nor sufficient for something to count as evidence. To overcome this and other deficiencies associated with (RTE) a move is made to an objective view of evidence. This move aligns epistemic rationality with scientific rationality in seeking to capture veridical evidence. It also leads to a new norm of epistemic rationality—the Proper Subset Evidence Requirement (PSER).

Click on the following link to access a presentation on the paper.

 

New Paper – Against the Total Evidence Requirement

I just posted a new paper in which I argue against the total evidence requirement on knowledge. The abstract reads as follows:

  • A requirement on rational belief frequently invoked in epistemology and inductive logic is the total evidence requirement (TER). This requirement asks one to consult all evidence when making a determination about what one believes or the degree of confirmation to assign to a hypothesis. Despite the wide-spread use of the requirement there are many problems with it. After explaining the requirement in section 1 of this paper I motivate the requirement in section 2. In section 3, I highlight problems with successive interpretations of the requirement. This applies pressure to abandon TER or revise it. In section 4, I create the proportional evidence requirement (PER). This requirement revises the notion of what constitutes relevant evidence by making the notion proportional to the weight of evidence for a given hypothesis. After formulating two key principles behind PER I realize that one of the principles may not be an improvement over the commitments of TER. So, I revise one of the principles in PER to avoid such problems and create a requirement on evidence that is truly an upgrade over TER. I conclude this paper in section 5 by summarizing and indicating directions for future research.

Update: The paper is now down for revision.

 

Williamson – Philosophy of Philosophy – 7.4

Section 4 of chapter 7 in The Philosophy of Philosophy aims to identify the judgment skeptic’s mistake. In context, Williamson argued in section 3 that the same line of critique judgment skeptics use against folk theory can be used against elements of judgment skepticism that rely on folk theory. A judgment skeptic holds that we cannot know mountains exist because our evidence is neutral between the ordinary hypothesis and the skeptical hypothesis. Instead, there are only micro-events that humans errantly, though conveniently, classify as mountains. The result, however, is that we cannot possess knowledge or justification about beliefs concerning mountains. When this kind of reasoning is ported over to general skepticism it become clear (according to Williamson) that the reasoning is unsound. With the context of section 3 in mind I return to section 4. Williamson wants to identify the mistake in the judgment skeptic’s reasoning. What makes this line of reasoning bad?

There are two mistakes that Williamson identifies. The first mistake is the use of so-called appearance principles, and the second mistake is committing the consequence fallacy. I will discuss each of these mistakes in turn.

An appearance principle is defined as follows:

[O]ne should be confident that P (on the basis of common sense) only if its appearing (by the standards of common sense) that P is good evidence that P. (2007: 227)

Williamson shows that appearance principles can be used as premises in an argument for general skepticism as well as judgment skepticism. This is a problem because judgment skeptics want to exclude the results of particle physics from skepticism so that they can claim underlying micro-physical events entail the impossibility of mountains. I will provide you with an overview of Williamson’s argument.

Let SS be the judgment skeptic’s scenario in which there are no mountains. In this scenario it falsely appears that there are mountains even though mountains are a metaphysical impossibility. If there really are mountains, then SS must not obtain. For the judgment skeptic: one should be confident that SS does not obtain only if its appearing that SS does not obtain is good evidence that SS does not obtain. However, appearing that SS does not obtain is not good evidence that SS does not obtain, according to the judgment skeptic, so one should have low confidence (in one’s judgment) that SS does not obtain. Now, I turn to a distinction.

Roughly, something is truth-indicative if the appearance of it raises the probability of P. If, on the other hand, appearance (used as a conditional on P) does not raise the probability of P above the probability of P alone, then appearance is falsity-indicative. Appearance principles require one to modulate one’s confidence in P according to how appearance that P provides evidence that P, and only if the appearance of P is truth-indicative should one be highly confident in P.

The use of appearance principles in the reasoning above can also generate general skepticism. Let p be a description of the external world that jives with the judgment skeptic’s understanding of particle physics. Imagine SS* is an evil demon scenario in which p is false but an evil demon makes the truth of p seem to hold. By the same reasoning, the appearance that SS* does not obtain is not evidence that SS* does not obtain (i.e., it is not truth-indicative) because appearances to a subject are systematically deceived by the demon. So, given the appearance principle, one should have low confidence that SS* does not obtain. Because p (the existence of the external world) entails that SS* does not obtain, then one should modulate one’s confidence in p to accord with one’s confidence that SS* does not obtain. The result is that confidence in p should be low even when its appearance raises the probability of p. So, we should be skeptical about the existence of the external world as described by particle physics. Williamson cuts the legs out from under the judgment skeptic’s reasoning. Or, does he?

I’m not satisfied with Williamson’s pattern of pulling the judgment skeptic into general skepticism. Why? The mere possibility of an evil demon scenario precludes the use of appearance principles. In such a scenario appearances are false and, consequently, apperance principles do not hold. Who would reasonably argue that in a Matrix world one should be confident that P only if it appears that P is good evidence that P? By the assumptions of the scenario it appearing that P will not be good evidence that P. So, to argue that appearance principles used in such a scenario result in skepticism about a domain judgment skeptics endorse (particle physics) seems like a ticky-tacky move at best and unwarranted at worst.

The second mistake in judgment skepticism is the consequence fallacy. This fallacy involves criticizing confidence in a theory by focusing on a logical consequence of the theory whose probability is not raised by the evidence. Take the following argument Williamson outlines (2007: 233):

  1. Physical events occur that folk geography takes to constitute the presence of mountains in Switzerland.
  2. If physical events occur that folk geography takes to constitutes the presence of mountains in Switzerland, then there are mountains in Switzerland.
  3. There are mountains in Switzerland.

A person who subscribes to folk geography is likely to endorses the whole argument. However, a judgment skeptic jumps off the boat at premise 2. That is, the evidence may increase the probability of premise 1 but not premise 2. The fallacy comes from arguing that the failure of increased probability in 2, conditional on the evidence, is reason to hold that a high degree of confidence in both 2 and 3 is not warranted. It may be that it is still reasonable to hold a high degree of confidence in 2 and 3 even though evidence raises the probability of 1 but not of 2. The problem comes from, “identifying a logical consequence of the theory (not itself a logical truth) whose probability is not raised by the evidence” (2007:232). It is not the case that evidence raising the probability of a hypothesis makes more probable a logical consequence of that hypothesis. In fact, according to Williamson, when the evidence makes the hypothesis more probable, but not certain, it decreases the probability of the logical consequence of the hypothesis. When evidence makes a hypothesis certain it does not make a logical consequence of that hypothesis more probable. Thus, evidence making more probable premise 1 but not 2 is not a basis from which to argue that one is not entitled to a high degree of confidence in premise 2 and 3.

Williamson’s logical consequence point brings up issues in confirmation theory. His point has prompted me to explore confirmation theory in more detail. Some useful reads in this regard can be found here and here.

 
 
Follow

Get every new post delivered to your Inbox.