Prompt 1: Based on the spectrum of notions along the two dimensions found below, create a table that provides approximate credences for the 25 couplings.
Credence Table: Claim Source vs Claim becomes more useful once its structure is made visible.
The section turns on Credence Table: Claim Source vs Claim and Credence Table: Claim Source vs Claim. Each piece is doing different work, and the page becomes thinner if the reader cannot say what is being identified, what is being tested, and what would change if one piece were removed.
The central claim is this: To create a table that provides approximate credences (likelihoods of being true) for the 25 couplings of claim sources and claims, we’ll consider both the reliability of the source (based on their propensity to lie) and the inherent plausibility of the claim itself.
The important discipline is to keep Credence Table: Claim Source vs Claim distinct from Credence Table: Claim Source vs Claim. They are not interchangeable bits of vocabulary; they direct the reader toward different judgments, objections, or next steps.
This first move lays down the vocabulary and stakes for Credence Complexity. It gives the reader something firm enough to carry into the later prompts, so the page can deepen rather than circle.
At this stage, the gain is not memorizing the conclusion but learning to think with Credence Table: Claim Source vs Claim. The question should remain open enough for revision but structured enough that disagreement is not mere drift. The practical habit to learn is calibration: matching confidence to evidence rather than to comfort, repetition, or social pressure.
This section should give the reader a usable epistemic lever: what would support the central claim, what would count against it, and what would make suspension of judgment more rational than either assent or denial. The point is not to make Credence Complexity tidy; it is to help the reader notice the difference between having a belief, having a reason, and having enough reason.
Relatively mundane and highly plausible.
Still plausible but slightly less common than Claim 1.
Highly implausible due to the physical limitations of dogs.
Extremely implausible as dogs cannot sing in human languages.
Impossible under current scientific understanding, hence given a 0% chance across all sources, except for Jan, who always tells the truth, but the event itself is impossible.
These claims are very likely true when coming from a reliable source (Jan) or unlikely to be true from a frequent liar (Tom) like this: Jan saying anything (Claim 1-5) – 100% credence. Tom saying my dog licked my hand (Claim 1) – 20% credence (since it’s a mundane claim, there’s a 20% chance even Tom might be telling the truth).
These claims fall in a middle ground where the source’s reliability is uncertain. The credence depends on how outlandish the claim is. Max (Claims 1-4) – These are relatively normal events and get a 60% credence. Max saying his dog died and revived (Claim 5) – Even Max might not make this up (40% credence).
These claims are very unlikely to be true from sources who lie frequently. Bob or Abe saying anything (Claims 1-5) – Both sources lie often, so the credence is low (20% or 40%) regardless of the claim’s content.
| Source/Claim | 1. My dog licked my hand. | 2. My dog bit my mother. | 3. My dog ran 300 miles non-stop. | 4. My dog sang Happy Birthday | 5. My dog died then resurrected |
|---|---|---|---|---|---|
| A — Tom (Lies 80%) | 20% | 15% | 1% | 0% | 0% |
| B — Bob (Lies 60%) | 40% | 35% | 2% | 0% | 0% |
| C — Max (Lies 40%) | 60% | 55% | 3% | 0% | 0% |
| D — Abe (Lies 20%) | 80% | 75% | 4% | 1% | 0% |
| E — Jan (Lies 0%) | 100% | 95% | 5% | 2% | 0% |
| Claim Source | Claim 1 | Claim 2 | Claim 3 | Claim 4 | Claim 5 |
|---|---|---|---|---|---|
| A – Tom (Lies 80%) | 20% | 20% | 0% | 0% | 0% |
| B – Bob (Lies 60%) | 40% | 40% | 20% | 20% | 20% |
| C – Max (Lies 40%) | 60% | 60% | 40% | 40% | 40% |
| D – Abe (Lies 20%) | 80% | 80% | 60% | 60% | 60% |
| E – Jan (Lies 0%) | 100% | 100% | 100% | 100% | 100% |
| Claim Source | Claim 1 | Claim 2 | Claim 3 | Claim 4 | Claim 5 |
|---|---|---|---|---|---|
| A – Tom (Lies 80%) | 20% | 20% | 0% | 0% | 1% |
| B – Bob (Lies 60%) | 40% | 40% | 20% | 20% | 1% |
| C – Max (Lies 40%) | 60% | 60% | 40% | 40% | 1% |
| D – Abe (Lies 20%) | 80% | 80% | 60% | 60% | 1% |
| E – Jan (Lies 0%) | 100% | 100% | 100% | 100% | Very Low |
- 1st Attempt: Credence Table: Claim Source vs Claim: The credence represents the believability of the claim based on the source’s history of lying.
- 2nd Attempt: Credence Table: Claim Source vs Claim: While Jan (completely honest) wouldn’t lie, the concept of a dog resurrecting goes against our current understanding of biology.
- 5 — “My dog died then resurrected a week later.”
- Borderline case: The reader should be able to say what would make the claim merely plausible rather than justified.
- Objection test: A strong section names the best reason a careful critic would withhold assent.
Prompt 2: Provide a comprehensive summary of what this exercise teaches us.
Combining Source Reliability and Claim Plausibility: practical stakes and consequences.
The section turns on Combining Source Reliability and Claim Plausibility. Each piece is doing different work, and the page becomes thinner if the reader cannot say what is being identified, what is being tested, and what would change if one piece were removed.
The central claim is this: This exercise illustrates several key concepts related to information evaluation, source reliability, and claim plausibility.
The first anchor is Combining Source Reliability and Claim Plausibility. Without it, Credence Complexity can sound important while still leaving the reader unsure how to sort the case in front of them. If the reader cannot say what confusion would result from merging those anchors, the section still needs more work.
This middle step keeps the sequence honest. It takes the pressure already on the table and turns it toward the next distinction rather than letting the page break into separate mini-essays.
At this stage, the gain is not memorizing the conclusion but learning to think with Credence Table: Claim Source vs Claim. The question should remain open enough for revision but structured enough that disagreement is not mere drift. The practical habit to learn is calibration: matching confidence to evidence rather than to comfort, repetition, or social pressure.
The added epistemic insight is that Credence Complexity is usually less about choosing certainty or skepticism than about learning the right degree of confidence. That makes the central distinction a calibration problem before it is a slogan.
This section should give the reader a usable epistemic lever: what would support the central claim, what would count against it, and what would make suspension of judgment more rational than either assent or denial. The point is not to make Credence Complexity tidy; it is to help the reader notice the difference between having a belief, having a reason, and having enough reason.
The credibility of information often hinges on the reliability of the source. A source known to frequently disseminate falsehoods (like Tom, who lies 80% of the time) is less reliable than a source known to always tell the truth (like Jan). Assessing the reliability of a source is crucial in determining the likelihood that the information provided is accurate.
The inherent plausibility of a claim is another critical factor in evaluating information. Claims that align with our understanding of the world (e.g., a dog licking a hand) are inherently more plausible than claims that defy scientific understanding or common sense (e.g., a dog singing “Happy Birthday”).
The exercise demonstrates that both the reliability of the source and the plausibility of the claim must be considered together. A highly reliable source can lend credibility to a claim, but if the claim itself is extremely implausible, this might not significantly increase its likelihood of being true. Conversely, even a less reliable source might be believed if the claim made is mundane and highly plausible.
Assigning credence to claims involves subjective judgment, especially when assessing the plausibility of a claim and the reliability of a source. While some guidelines can be applied, individuals may weigh factors differently based on their knowledge, experiences, and biases.
Evaluating the credibility of different claims requires critical thinking and a healthy dose of skepticism, particularly when dealing with sources known to have lied in the past or when faced with extraordinary claims.
The context in which a claim is made can also affect its plausibility. For instance, a claim made as part of a fictional story or joke is evaluated differently from one presented as factual news.
The believability of a claim depends heavily on the source’s reputation for truthfulness. People who lie frequently (like Tom) make their claims less believable, even for mundane things.
Even from a reliable source, highly implausible claims (like dog resurrection) require extra scrutiny. Our current understanding of the world helps us judge the likelihood of an event being true.
There can be reasons beyond lying that make a claim seem unbelievable. Even with an honest source (like Jan), extraordinary events might be due to misunderstandings, metaphorical language, or unknown factors.
This exercise uses a simplified system with high, medium, and low credence. In real life, our belief in something might fall anywhere on this spectrum, depending on the evidence and context.
Don’t blindly accept information at face value. Consider the source’s credibility, the plausibility of the claim, and any alternative explanations before forming a strong belief.
The credibility of a claim is heavily influenced by the reliability of its source. In this exercise, we have sources (Tom, Bob, Max, Abe, and Jan) who have varying degrees of truthfulness, ranging from lying 80% of the time to never lying. Naturally, claims from more reliable sources are given higher credences, while claims from less reliable sources are given lower credences.
The inherent plausibility of a claim also plays a significant role in determining its credibility. In the exercise, claims like “My dog licked my hand” or “My dog bit my mother” are considered more plausible than claims like “My dog ran 300 miles non-stop” or “My dog sang Happy Birthday to me.” As a result, even less reliable sources are given higher credences for more plausible claims, while highly implausible claims are given low credences, even from relatively reliable sources.
The use of numerical credences allows us to quantify the credibility of different claim-source combinations. This quantification can be useful for decision-making processes or for comparing and ranking different claims based on their relative credibilities.
At a broader level, this exercise highlights the importance of critically evaluating the sources of information and the plausibility of claims in our efforts to distinguish truth from falsehood. It underscores the need for a nuanced approach that considers multiple factors, rather than blindly accepting or rejecting claims based on a single criterion.
- Combining Source Reliability and Claim Plausibility: The exercise demonstrates how we can systematically combine the reliability of a source and the plausibility of a claim to arrive at an overall assessment of credibility.
- Borderline case: The reader should be able to say what would make the claim merely plausible rather than justified.
- Objection test: A strong section names the best reason a careful critic would withhold assent.
- Calibration test: The answer should distinguish certainty, high confidence, tentative belief, and responsible agnosticism.
- Revision trigger: The page should identify what kind of new evidence would rationally change the reader's confidence about Credence Complexity.
Prompt 3: Elaborate on the various reasons a claim made by a completely honest person may still not be true?
Credence Complexity becomes useful only when its standards are clear.
The opening pressure is to make Credence Complexity precise enough that disagreement can land on the issue itself rather than on a blur of half-meanings.
The central claim is this: A claim made by a completely honest person may still not be true for several reasons, highlighting the complexity of truth and the difference between honesty and accuracy.
The first anchor is Credence Table: Claim Source vs Claim. Without it, Credence Complexity can sound important while still leaving the reader unsure how to sort the case in front of them. If the reader cannot say what confusion would result from merging those anchors, the section still needs more work.
By this point in the page, the earlier responses have already established the relevant distinctions. This final prompt gathers them into a closing judgment rather than ending with a disconnected last answer.
At this stage, the gain is not memorizing the conclusion but learning to think with Credence Table: Claim Source vs Claim. The question should remain open enough for revision but structured enough that disagreement is not mere drift. The practical habit to learn is calibration: matching confidence to evidence rather than to comfort, repetition, or social pressure.
The added epistemic insight is that Credence Complexity is usually less about choosing certainty or skepticism than about learning the right degree of confidence. That makes the central distinction a calibration problem before it is a slogan.
This section should give the reader a usable epistemic lever: what would support the central claim, what would count against it, and what would make suspension of judgment more rational than either assent or denial. The point is not to make Credence Complexity tidy; it is to help the reader notice the difference between having a belief, having a reason, and having enough reason.
Honest individuals may unintentionally spread misinformation if they have been misinformed themselves or lack complete knowledge about a topic. They relay what they believe to be true, but their understanding may be incorrect or incomplete.
People may misinterpret events, data, or information they encounter and then share their interpretation as fact. For example, witnessing an unusual animal behavior and interpreting it based on personal assumptions could lead to sharing inaccurate claims, despite honesty.
Human memory is fallible and can be influenced by numerous factors, leading to inaccuracies. Honest individuals might share a claim based on their memory of an event, which could be distorted or incomplete over time, resulting in unintentional inaccuracies.
In an attempt to make complex information more understandable, honest people might oversimplify it, omitting crucial nuances. This simplification can sometimes lead to statements that are not entirely accurate, even if the intent was to convey truth.
The way we communicate can also lead to inaccuracies. Ambiguities in language or difficulties in expressing nuances can result in claims that don’t fully capture the intended meaning or the complexities of a situation.
Even honest individuals rely on secondary sources for information on topics they haven’t experienced firsthand. These sources can contain errors or biases that the individual unknowingly passes on when they share the information.
Perception can vary greatly from one person to another due to differences in perspective, experience, and context. Two honest people might therefore describe the same event differently, each believing their description to be accurate.
Claims made based on the current understanding of science or a particular field of knowledge can later be proven inaccurate as new discoveries are made or as more research is conducted.
Even honest individuals are subject to cognitive biases that can affect how they interpret and recall events or information. These biases can lead to the sharing of claims that are sincere but not entirely accurate.
People can misinterpret situations or experiences. Jan might have witnessed something unusual with their dog and genuinely believe it was a resurrection, but it could be something else entirely (illness, dream, misinterpreted behavior).
Memory is fallible. Over time, details can get fuzzy, blended with imagination, or influenced by emotions. Jan might be recounting an event from their dog’s life but unintentionally embellish or forget certain aspects, leading to inaccuracies.
We all have limitations in our understanding of the world. Jan might genuinely believe something about their dog’s behavior that’s simply not true based on current scientific knowledge.
Sometimes, communication can be tricky. Jan might be using exaggeration, metaphor, or a joke that gets misinterpreted as a literal statement.
Our senses can be fooled. Jan might have seen something that tricked their eyes or ears into believing something that wasn’t real (optical illusion, misinterpreted sound).
Jan might belong to a community or culture with different beliefs about animals or the afterlife. What seems outlandish to you might be plausible within their belief system.
While highly unlikely, there’s always the possibility of encountering something truly unknown. Even for Jan, their claim of a dog resurrecting could be based on a genuine, unexplainable event requiring further investigation by experts, not dismissal because of its strangeness.
An honest person can still make mistakes or misunderstand a situation, leading them to unintentionally state something that is not accurate. For example, Jan might genuinely believe that their dog licked their hand when, in reality, it was a different action or event that they misinterpreted.
Even with the best of intentions, an honest person may not have access to all the relevant information or knowledge required to make a completely accurate claim. Their claim may be based on partial or incomplete data, leading to an unintentional misrepresentation of the truth.
- Belief and knowledge: The epistemic pressure is how evidence, uncertainty, and responsible confidence interact before the reader accepts or rejects the claim.
- Evidence and justification: The epistemic pressure is how evidence, uncertainty, and responsible confidence interact before the reader accepts or rejects the claim.
- Credence and updating: The epistemic pressure is how evidence, uncertainty, and responsible confidence interact before the reader accepts or rejects the claim.
- Skepticism without paralysis: The epistemic pressure is how evidence, uncertainty, and responsible confidence interact before the reader accepts or rejects the claim.
- Borderline case: The reader should be able to say what would make the claim merely plausible rather than justified.
The through-line is Credence Table: Claim Source vs Claim.
The best route is to track how evidence changes credence, how justification differs from psychological comfort, and how skepticism can discipline thought without paralyzing it.
The recurring pressure is false certainty: treating a feeling of obviousness, a social consensus, or a useful assumption as if it had already earned the status of knowledge.
The first anchor is Credence Table: Claim Source vs Claim. Without it, Credence Complexity can sound important while still leaving the reader unsure how to sort the case in front of them.
Read this page as part of the wider Epistemology branch: the prompts point inward to the topic, but they also point outward to neighboring questions that keep the topic honest.
- What factor is crucial in determining the likelihood that information provided by a source is accurate?
- Which claim is inherently more plausible: a dog licking a hand or a dog singing “Happy Birthday”?
- What percentage of the time does Tom lie, according to the given information?
- Which distinction inside Credence Complexity is easiest to miss when the topic is explained too quickly?
- What is the strongest charitable reading of this topic, and what is the strongest criticism?
Deep Understanding Quiz Check your understanding of Credence Complexity
This quiz checks whether the main distinctions and cautions on the page are clear. Choose an answer, read the feedback, and click the question text if you want to reset that item.
Future Branches
Where this page naturally expands
Nearby pages in the same branch include Case #2 – The Telephone Game, Case #3 – Core Rationality, Case #4 – Recursive Credences, and Case #5 – Vanishing Probabilities; those links are not decorative, but suggested continuations where the pressure of this page becomes sharper, stranger, or more usefully contested.