Utility Layer
Search and Topic Index
Search the public Credencing web by concept, issue, domain, skill, abbreviation, or failure mode. Tags are generated from the same page corpus, so browsing and search stay in sync.
Showing 150 of 150 pages.
Section Index
Browse by site area
A Formal Framework for Core and Deep Rationality
This page anchors the project’s central distinction between rational skill and rational integrity.
Against the Great Man: A Systems-Theoretic Critique of Individual Attribution
A systems paper about calibrating credit and blame when individual control is weakened by noise and complexity.
AI Alignment
AI alignment needs credencing because systems, developers, users, and institutions all act under uncertain models of risk and capability.
AI as Deep Rationality Prosthetic: Evidence Processing, Delegated Credence, and Core Rationality in AI-Mediated Inquiry
An AI-mediated inquiry paper arguing that better evidence processing does not automatically produce better assigned credence.
Assigned Credence (CA)
Assigned Credence is the final confidence level an agent actually adopts.
Author
Phil Stilwell develops Credencing as a public epistemology project centered on graded belief, evidential accountability, and rational self-correction.
Base-Rate Neglect
Base-rate neglect occurs when vivid case-specific evidence overwhelms the background frequency that should anchor judgment.
Bayes Theorem Overview
Bayes theorem is a disciplined way to revise confidence when evidence arrives.
Bayesian Updating
Bayesian updating is the disciplined revision of credence in light of new evidence.
Beyond the Binary: Linguistic Evolution and the Transition to Credence-Based Discourse
A follow-up on how communities could learn more graded, update-friendly ways of speaking.
Biased Expert
The biased expert has strong tools but uses them to protect a preferred conclusion.
Biased Expert Cases
Biased expert cases involve high skill used defensively to protect an identity, incentive, or prior commitment.
Binary Thinking and Gradient Thinking
Binary thinking asks whether a claim is believed or rejected; gradient thinking asks how much confidence the evidence warrants.
Books
Books gathers the long-form works that carry the deepest foundations of the Credencing project.
Build Your Own Scenario
Building your own scenario means assigning Objective Evidence (E0), Perceived Evidence (EP), Assigned Credence (CA), and Deep Rationality (SD) for a real or imagined belief state.
Calculation Error (DE)
Calculation Error is the distance between objective evidence and perceived evidence.
Calibration
Calibration is the fit between confidence levels and actual reliability.
Childlike Trust and Mature Inquiry
Trust is developmentally necessary, but mature rationality requires learning when trust should yield to evidence, comparison, and independent judgment.
Coherence Is Not Enough
A worldview can feel internally coherent, emotionally satisfying, and socially fruitful while still failing to track reality.
Common Mistakes
Many reasoning errors come from misusing one part of Bayes theorem or silently skipping it.
Compare Two Scenarios
Scenario comparison lets readers juxtapose two agents and see how similar surface beliefs can arise from different epistemic structures.
Confidence Levels
Confidence levels name the strength of a credence and help prevent certainty from arriving too cheaply.
Conspiracy Thinking
Conspiracy thinking becomes epistemically dangerous when every counter-signal is absorbed as further confirmation.
Contact
The contact page provides a public feedback path for corrections, collaboration, teaching use, and future project inquiries.
Core Irrationality (IC)
Core Irrationality is the distance between perceived evidence and assigned credence.
Core Rationality
Core Rationality is the integrity dimension: the willingness to assign credence according to perceived evidence.
Core Rationality
A simple introduction to the difference between being good at reasoning tools and being honest with the evidence one already sees.
Core vs Deep Rationality
Core vs Deep Rationality separates integrity of belief from skill in evidence processing.
Credence First: Against Plantinga's Warrant as an Epistemic Upgrade
A critique of binary knowledge and warrant language in favor of graded confidence and measurable calibration.
Credences
Credences are graded confidence assignments: the basic unit of the whole project.
Deep Rationality (SD)
Deep Rationality is the skill dimension: the quality of the agent inferential tools.
Delusion Threshold Cases
Delusion threshold cases occur when assigned credence becomes structurally detached from perceived evidence.
Descriptive Rather than Prescriptive Orientation
The framework first describes belief structure before prescribing what a person should do.
Diagnostic Safeguards
Diagnostic safeguards prevent the model from turning every gap into an accusation.
Doubt as the Complement of Credence
Doubt is not automatically a defect; when evidence is incomplete, doubt is the rational remainder of calibrated confidence.
Downloads
Downloads collect reusable PDFs, worksheets, diagrams, Markdown source files, and presentation assets.
Education
Education should teach students how to form, scale, revise, and explain confidence.
Epistemic Akrasia
Epistemic akrasia is believing against one’s own perceived evidence.
Epistemic Archetypes
Epistemic archetypes are recurring patterns formed by different alignments of skill, perception, and belief.
Epistemic Delusion
Epistemic delusion marks severe detachment between assigned credence and perceived evidence.
Essays
The Essays page is a repository of Phil Stilwell essays and adapted essay material directly related to Credencing, calibration, evidence, doubt, trust, and rational integrity.
Evidence
Evidence is support that should move confidence when interpreted through reliable methods.
Evidence and Confidence
Confidence should rise and fall with evidence, but evidence reaches us through perception, interpretation, and social context.
Evidence Mapping Is a Practice, Not a Slogan
Evidence-mapping is not a claim one makes about rationality; it is a discipline shown by how belief actually responds to new evidence.
Evidence-Proportioned Belief
Rational belief is not the possession of certainty but the discipline of scaling confidence to the quality, quantity, and specificity of evidence.
Evidence-Proportioned Belief: A Credence-First Reframing of Faith and Rationality
A credence-first argument for treating rational belief as confidence scaled to evidence rather than as a binary yes-or-no state.
Facilitator Toolkit
The facilitator toolkit provides practical methods for running fair, focused, and productive Credencing discussions.
Faith, Trust, and Evidence-Weighted Confidence
The claim that everyone has faith becomes clearer once we distinguish protected commitment from evidence-weighted trust.
FAQ
The FAQ answers recurring questions and prevents common misunderstandings of the framework.
Fear Overrides
Fear overrides happen when threat salience pushes assigned credence beyond what the agent perceives the evidence to support.
Foundational Choices for the Autodidact
A learning paper about building transferable reasoning tools before piling up isolated facts.
Future Directions
Future directions organize the next growth of Credencing into content, tools, research, teaching, and public participation.
Future Papers
Future papers and projects extend the framework only where a new question is not already answered by the current Credencing spine.
Glossary
The glossary provides concise definitions for Credencing, epistemology, Bayesian theory, cognitive bias, decision theory, and institutional reasoning.
Grounding Ways of Knowing
A claimed way of knowing earns rational trust only when it can be compared, corrected, and shown to improve contact with reality.
Group Discussion Guide
A practical guide for using Credencing in classrooms, clubs, reading groups, workshops, and civic discussion circles.
Honest Novice
The honest novice lacks strong tools but assigns credence according to their perceived evidence.
Honest Novice Cases
Honest novice cases involve sincere alignment with perceived evidence despite limited tools or incomplete information.
How to Ask Better Epistemic Questions
Better epistemic questions locate evidence, confidence, alternatives, update conditions, and possible gaps.
How to Avoid Base-Rate Neglect
Avoiding base-rate neglect means keeping background frequency visible when case details become vivid.
How to Detect Motivated Override
Motivated override occurs when fear, desire, identity, or incentives pull assigned credence away from perceived evidence.
How to Detect Overconfidence
Detecting overconfidence means noticing when assigned credence outruns evidential support.
How to Estimate Priors
Estimating priors means finding the right background frequency before vivid new evidence dominates judgment.
How to Express Uncertainty Honestly
Honest uncertainty is specific, proportionate, and open to update.
How to Read Likelihoods
Reading likelihoods means asking how expected the evidence is under each live hypothesis.
How to Read the Model
Read the model by following the path from objective evidence to perceived evidence to assigned credence.
How to Scale Confidence to Evidence
Scaling confidence means letting evidential support determine the strength of belief.
How to Separate Core from Deep Failure
Separating Core from Deep failure means diagnosing whether the main problem is perception, skill, or belief integrity.
How to Think in Credences
Thinking in credences means replacing all-or-nothing belief with explicit degrees of confidence.
How to Update with New Evidence
Updating well means revising confidence proportionally without becoming volatile or stubborn.
How to Use This Site
The site can be read as a guided sequence, used as a reference map, or explored through the interactive lab.
Humanity as a Middle Child in the Age of AI: Patterns of Delegation and Epistemic Atrophy
A warning that over-delegating inference to AI can weaken the very judgment humans need to supervise it.
Ideal Agent
The ideal agent has strong evidence perception and assigns credence in line with that perception.
Institutional Credencing: Official Confidence, Evidence Pipelines, and Organizational Belief Integrity
An institutional extension of Credencing for official confidence, evidence pipelines, dissent, and update trails.
Institutional Diagnostics
Institutional diagnostics applies the two-gap model to organizations, not only individuals.
Intelligence as Rationalization Engine: Deep Rationality, Core Rationality, and the Biased Expert
A biased-expert paper explaining how high reasoning skill can defend a credence the evidence no longer supports.
Interactive Model
The interactive model is the central instrument for visualizing how evidence, perception, belief, and rational skill diverge.
Interpretation Guide
The interpretation guide translates model patterns into diagnostic questions and repair strategies.
Journalism
Journalism shapes public perceived evidence by selecting, framing, verifying, and repeating claims.
Labels Are Not Credences
Identity labels are low-resolution summaries; careful inquiry requires asking what a person believes, how strongly, and under what update conditions.
Law
Law formalizes action thresholds under uncertainty: suspicion, probable cause, preponderance, and proof beyond reasonable doubt.
Likelihoods
Likelihoods measure how expected the evidence is under different hypotheses.
Medical Testing
Medical tests show why sensitivity, specificity, prevalence, and emotional salience must all be kept separate.
Medicine
Medicine applies credencing under uncertainty, high stakes, imperfect tests, and emotionally loaded outcomes.
Mereological Indigestion: Why We Cannot Divvy Up the Blob
A metaphysical critique of treating human-made partitions as if they were automatically deep divisions in reality.
Methodological Commitments
The project is committed to graded belief, evidential accountability, diagnostic charity, explicit uncertainty, and updateability.
Motivated Reasoning
Motivated reasoning occurs when inquiry is recruited to defend a desired conclusion rather than discover what is true.
Objective Evidence (E0)
Objective Evidence is the evidential support available in the world before an agent interprets it.
Papers
The Papers page gathers formal and semi-formal work behind the Credencing framework.
Parsimony and Belief Burdens
Parsimony is not a dislike of complexity; it is a demand that added assumptions earn their keep.
Perceived Evidence (EP)
Perceived Evidence is what the agent takes the evidence to show after interpretation.
Personal Decision-Making
Personal decisions improve when feelings, evidence, uncertainty, and action thresholds are kept distinct.
Policy
Policy decisions require explicit credences because action must occur under uncertainty and unequal stakes.
Political Tribalism
Political tribalism turns beliefs into loyalty signals, making update costs social rather than merely intellectual.
Posteriors
Posteriors are updated credences after priors and new evidence have been brought together.
Practice Examples
Practice examples help readers mentally rehearse Bayes theorem without needing advanced mathematics.
Practice Exercises
Practice exercises help turn credencing from a vocabulary into a habit.
Pragmatic Encroachment
Pragmatic encroachment describes how practical stakes influence what confidence is sufficient for action.
Preset Scenarios
Preset scenarios show canonical patterns so visitors can learn the model quickly.
Priors
Priors are starting credences formed from base rates, background knowledge, and previous evidence.
Project Notes
Project notes track design decisions, open questions, revisions, and future directions.
Project Overview
Credencing is a public framework for understanding how confidence forms, distorts, and becomes answerable to evidence.
Protected Predictions and Answered Prayer
Predictions teach only when success and failure are both allowed to affect confidence.
Public Debate
Public debate improves when participants expose confidence, evidence, update conditions, and action thresholds.
Q&A
A visitor-facing question-and-answer guide to Credencing, evidence, Bayesian updating, the interactive model, and common misunderstandings.
References
References collect sources, influences, and adjacent traditions in epistemology, probability, psychology, and institutional reasoning.
Risk Inflation
Risk inflation occurs when possibility is treated as probability and probability is treated as practical certainty.
Science
Science is organized credencing: a public system for making confidence answerable to evidence, method, and replication.
Scientific Walkthrough
Scientists use Bayesian thinking to compare hypotheses, update confidence, and avoid being fooled by isolated evidence.
Selective Blindness and Asymmetric Scrutiny
A belief system becomes unreliable when it scrutinizes rival claims intensely while protecting its own central commitments from the same standards.
Semantic Drift and the Word Faith
When a key term shifts meanings during argument, credences become harder to inspect and easier to protect.
Session 1: Credences and Confidence
This session introduces credences as degrees of confidence rather than simple yes-or-no belief.
Session 2: Evidence and Perception
This session separates evidence in the world from what people notice, interpret, remember, and feel.
Session 3: Priors, Base Rates, and Likelihoods
This session teaches participants to use background rates and diagnostic evidence before jumping to conclusions.
Session 4: Updating and Changing Minds
This session treats changing one’s mind as a rational skill rather than a social defeat.
Session 5: Bias, Identity, and Core Rationality
This session examines how fear, loyalty, status, and identity can pull assigned confidence away from perceived evidence.
Session 6: Uncertainty, Action, and Risk
This session separates what confidence is warranted from what action is appropriate under risk.
Session 7: Media, Institutions, and Public Debate
This session applies credencing to journalism, organizations, public debate, and institutional trust.
Session 8: AI, Expertise, and the Future
This session uses credencing to discuss AI systems, expert judgment, overtrust, and future decision-making.
Teaching Materials
Teaching materials turn the framework into lessons, handouts, exercises, and discussion prompts.
The "Ontic Snap" as a Cognitive Phase Transition
A companion paper on the moment the mind turns noisy input into a stable object.
The Architecture of Explanatory Satisfaction and the Affective Veto Against Stochastic Reality
A paper on why people often prefer emotionally satisfying explanations over probabilistic ones.
The Asymptote of the Natural: Inductive Density and the A Posteriori Justification of Methodological Naturalism
A Bayesian defense of methodological naturalism as a historically earned confidence pattern rather than a dogmatic rule.
The Difference Between Being Mistaken and Being Epistemically Inconsistent
A person can be wrong while reasoning in good faith, or correct while reasoning badly; the model keeps these cases separate.
The Evidence Term
The evidence term normalizes the update by asking how expected the evidence is overall.
The Floating Fortress Problem
A theory can preserve itself by floating above every test, but insulation is not the same as rational strength.
The Formula
The formula explains how to update confidence in a possible explanation after you notice a clue or piece of evidence.
The Gravity of Grammar: Binary Inertia and the Distortion of Epistemic Calibration
A language paper about how ordinary grammar pulls graded confidence into misleading yes-or-no claims.
The Likelihood
The likelihood asks how expected the evidence would be if a hypothesis were true.
The Miracle Audit: A Probabilistic Framework for Differentiating Anomalies from Supernatural Interventions
A probabilistic audit for extraordinary claims that separates anomaly from supernatural explanation.
The Ontic Snap
A book-length treatment of how stable “things” emerge for human minds from noisy, continuous experience.
The Posterior
The posterior is the updated confidence after the prior and evidence have been combined.
The Primacy of Induction
A broad defense of induction as the practical center of inquiry for finite agents.
The Prior
The prior is the confidence you assign before the new evidence is added.
The Suspended Web of Induction: How the Brain's Attention to Regularities Matures into Reliable Knowledge
A book-length treatment of how attention to regularities matures into reliable knowledge through induction, Bayes, prediction, and revision.
The Threshold of the Real: Inductive Density and the Emergence of the Human Ontic
A paper on how objects and categories become real enough for human use when they are predictively reliable.
The Two-Gap Theory of Irrationality: Evidence Perception, Belief Integrity, and Diagnostic Repair
The central two-gap paper distinguishing failures of evidence perception from failures of assigned confidence.
Uncertainty
Uncertainty is not a defect in reasoning; it is often the honest shape of limited evidence.
Unfalsifiability and Moving Goalposts
A claim loses epistemic force when every possible observation can be reinterpreted to preserve it.
Useful Fictions Common in Philosophical Pedagogy
A teaching paper about simplified ideas that help beginners but can mislead if treated as final.
Visual Archive
The visual archive stores diagrams, screenshots, model states, and explanatory graphics.
Visual Legend
The visual elements represent the evidential target, perceived balance, assigned credence, skill depth, uncertainty, and irrationality.
Warranted Uncertainty
Warranted uncertainty is the range of doubt an agent is entitled to given their evidence and rational skill.
Warranted Uncertainty: The Discipline of Not Knowing in a Credence-First Epistemology
A calibration paper defending honest uncertainty as an achievement rather than a failure of inquiry.
What Bayesian Updating Is
Bayesian updating is the practice of revising confidence by combining prior expectations with new evidence.
What Is Credencing?
Credencing is the ongoing act of assigning degrees of belief to claims, possibilities, interpretations, and decisions.
Where to Go Next
A suggested path through the site: learn the vocabulary, use the model, study failures, practice skills, and apply the framework.
Why Binary Belief Is Too Crude
Many important questions require scaled confidence, not a forced choice between belief and disbelief.
Why People Go Wrong
People go wrong through missing evidence, poor tools, distorted perception, social pressure, emotional override, and identity protection.
Why the Term "Credencing"
The term credencing emphasizes belief as an active, graded, updateable process.
Expanded Tag Index