A topic in the Open Knowledge Graph — a free, open map of 15,290 topics and the order to learn them in.

The No-Miracles Argument for Realism

Research Depth 113 in the knowledge graph ☐ I know this ☆ Set as goal
555prerequisites beneath it
See this on the map →
Scientific RealismUnderdetermination of Theory by Evidence→
realism argument justification

Core Idea

The 'no miracles' argument provides realism's strongest defense: if theories were not approximately true, their predictive success would be miraculous. Since we do not believe in miracles, successful theories must be (mostly) true about the world. This abductive argument remains the most influential justification for scientific realism.

Common Misconceptions

Thinking the no-miracles argument is deductively valid (it is abductive, relying on inference to best explanation). Assuming it rules out all anti-realist alternatives. Ignoring that structural realism admits underdetermination while preserving some realist commitments.

Explainer

From your study of scientific realism, you know the core claim: our best theories are approximately true, and the theoretical entities they posit (electrons, DNA, curved spacetime) really exist. What justifies this? The scientific realist's strongest answer is the no-miracles argument, developed by Hilary Putnam: if our theories were not approximately true, their remarkable predictive success would be an unexplained miracle. Since we reject miracles as explanations, we should infer approximate truth.

The argument's logical structure is inference to the best explanation (IBE), also called abduction. Premise 1: our best scientific theories make precise, novel predictions that succeed far outside the conditions under which they were formulated. Quantum electrodynamics predicts the electron's magnetic moment to eleven decimal places. General relativity predicted the bending of starlight around the sun before it was observed. These are not mere empirical fits; they are striking successes in new domains. Premise 2: the best explanation of this success is that the theories are approximately true descriptions of the world, including its unobservable parts. If electrons, quarks, and spacetime curvature approximately behave as described, the theories' success is expected. If the theories were just useful fictions with no connection to reality, the success would require an astronomical coincidence. Conclusion: the theories are approximately true.

The argument's vulnerability, as you've seen in underdetermination, is that empirical equivalents are always possible — theories with the same observational consequences but different theoretical ontologies. The anti-realist can say: success confirms empirical adequacy, not truth. Bas van Fraassen's constructive empiricism accepts that theories should be empirically adequate (true about observables) while remaining agnostic about unobservables. The no-miracles argument, the anti-realist charges, implicitly assumes that IBE is a reliable guide to truth for unobservables — but this is exactly what's in question.

The most devastating challenge is the pessimistic meta-induction: the history of science shows that predictively successful theories have repeatedly turned out to be false. Caloric theory successfully predicted heat flow; phlogiston theory organized combustion chemistry; Newtonian mechanics predicted planetary orbits to astonishing precision. All were later shown to be approximately false in their core theoretical claims. By induction over this history, our current theories — however successful — are probably false too. Realists respond by arguing that theory change is more conservative than the pessimist claims: successful theories leave a structural residue in their successors. Fresnel's optical ether was abandoned, but the mathematical equations describing light waves were preserved in Maxwell's electromagnetism. This observation motivates structural realism: what persists across theory change and what successful theories likely get right is not the nature of the entities, but the mathematical structure of the relationships between them — a realism that concedes much to the anti-realist while preserving the no-miracles intuition about structural truth.

What did you take from this?

Topics in reflective domains aren't scored by quiz answers. Read, reflect, and mark when you've thought it through.

Quiz me anyway →

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Introduction to Exponents → Order of Operations → Integer Order of Operations → Variable Expressions → The Distributive Property → Variables and Expressions Review → Introduction to Polynomials → Adding and Subtracting Polynomials → Multiplying Polynomials → Factorial → Permutations → Combinations → Counting Principles: Addition and Multiplication Rules → Introduction to Graph Theory → Propositional Logic Foundations → Logical Equivalences → Boolean Algebra → Introduction to Propositional Logic → Introduction to Predicate Logic (First-Order Logic) → First-Order Logic Syntax → Terms and Atomic Formulas in FOL → Variable Binding and Scope → Open and Closed Formulas in First-Order Logic → Variable Substitution and Capture-Avoidance in First-Order Logic → Quantifier Instantiation Rules in First-Order Proof Systems → Universal Quantification: Meaning and Scope → Free Variables and Bound Variables → Substitution and Instantiation in Predicate Logic → Terms and Atomic Formulas → Formulas and Well-Formed Expressions → Structures and Interpretations → Model Interpretation and Satisfaction → Interpretation, Truth, and Satisfaction of Formulas → Logical Consequence and Entailment → Soundness Theorem and Validity of Proof Systems → Deductive Reasoning and Formal Proof Systems → First-Order Resolution → Propositional Resolution → Semantic Tableaux (Propositional) → Semantic Tableaux (First-Order) → Decidable Fragments of First-Order Logic → Gödel's Completeness Theorem for First-Order Logic → Gödel's Incompleteness Theorems → Introduction to Intuitionistic Logic → Introduction to Modal Logic → A Priori and A Posteriori Knowledge → Rationalism vs. Empiricism → The Problem of Induction → Popper's Falsificationism → Falsifiability as the Criterion of Demarcation → The Falsifiability Criterion and Its Problems → Kuhn's Paradigm Theory → Normal Science and Anomalies → Thomas Kuhn and Paradigm Shifts → Scientific Progress and Convergence to Truth → Scientific Realism → Constructive Empiricism → Empiricism and the Foundations of Science → Logical Positivism → The Duhem-Quine Thesis → Underdetermination of Theory by Evidence → The No-Miracles Argument for Realism

Longest path: 114 steps · 555 total prerequisite topics

Prerequisites (2)

Leads To (0)

No topics depend on this one yet.