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Research draft

hypothesis

vr.tr.hypothesis · INF.KNW

Let an agent help formulate, evaluate and test hypotheses, distinguish hypotheses from theories and speculation, and present unconfirmed hypotheses with appropriate uncertainty and attribution.

Thing Registry Information and virtual systems

Research draft, second pass

A second pass drafted this model: the structure a model of this thing needs, and what is known about it in the world. The line under this one says how the second half was obtained - researched against sources, or recalled without web access, in which case nothing here was read anywhere and every claim is a lead to verify. Unreviewed either way.

written by Claude from model knowledge without web access - no source was read, every claim is a lead to verify

Researched by: Claude

Purpose and description

Let an agent help formulate, evaluate and test hypotheses, distinguish hypotheses from theories and speculation, and present unconfirmed hypotheses with appropriate uncertainty and attribution.

A proposed explanation or testable statement made on the basis of limited evidence as a starting point for investigation, such as a research hypothesis in science, a taxon hypothesis in biology, or speculative proposals like panspermia; a good hypothesis is falsifiable, and hypotheses become theories only after extensive testing and support.

What it is for: Scientific reasoning and research design.

It can be formulate a testable hypothesis; design tests and identify predictions; distinguish hypothesis, theory and speculation; present hypotheses with attribution and uncertainty.

Distinguishing features

Proposed explanation

Testable and falsifiable

Provisional

Basis of investigation

What it looks like

Not physical; statements in research and reasoning.

How it is recognised

Testable statements

Null and alternative forms in statistics

A theory is a well-supported explanatory framework

Related models

is a kind of - category

proposition

is a kind of - category

premise

is tested by - method

experiment

is related to - reasoning

logic

In practice

Families and kinds

research hypotheses

statistical null and alternative hypotheses

taxonomic hypotheses

speculative scientific hypotheses

working hypotheses in everyday reasoning

Standards and regulation

Research integrity and preregistration norms

Statistical reporting guidelines

Failure modes and hazards

Presenting hypotheses as facts

Unfalsifiable claims

HARKing and p-hacking

Also called

taxon hypothesisone-electron universePanspermiaexistential risk from artificial intelligencegravitational decoherenceresearch hypothesistestable hypothesisunifying hypothesisauxiliary hypothesesdynasty replacement theorypredictive hypothesisexplanatory hypothesisunproven hypothesisepigenetic codeCandidate genePutative genemathematical hypothesis (physics)Erdős conjecturead hoc hypothesisunscientific hypothesisscientific hypothesisworking hypothesisfailed hypothesisunconfirmed hypothesisneutral particle oscillationvon Baer's lawsalternative hypothesistree modelmolecular mechanismneutron–antineutron oscillation

Where this came from

wikidata · CC0 1.0

Also registered as vr.tr.hypothesis

Drafted structure

Bundle to layer to finding to question, as the second pass will find it: 4 bundles · 8 layers · 8 findings · 16 questions.

Formulate Making a hypothesis.

Testable and clear.

State

Stating it.

State

Stating.

  1. What is the hypothesis, stated precisely and testably? definition
  2. What would falsify it? boundary

Predictions

Deriving predictions.

Predictions

Predictions.

  1. Which observable predictions follow from the hypothesis? action
  2. Which alternatives predict differently? definition
Test Testing.

Design matters.

Design

Study design.

Design

Design.

  1. How can the hypothesis be tested, and what design controls confounds? action
  2. Should the study be preregistered? boundary

Statistics

Null hypotheses.

Statistics

Statistics.

  1. What are the null and alternative hypotheses, and which test applies? definition
  2. What do p-values and effect sizes mean here? definition
Status Hypothesis or theory.

Words matter.

Terms

Terminology.

Terms

Terminology.

  1. Is this a hypothesis, a theory or speculation, and how is the term used in this field? definition
  2. Is uncertainty communicated clearly? boundary

Speculative

Famous hypotheses.

Speculative

Famous hypotheses.

  1. What is the status of hypotheses such as panspermia, according to the scientific community? provenance
  2. Who proposed them, and what evidence exists? provenance
Practice Everyday and research use.

Reasoning skill.

Everyday

Working hypotheses.

Everyday

Working hypotheses.

  1. How can hypothesis thinking help solve this practical problem? action
  2. How can confirmation bias be avoided? action

Integrity

Research integrity.

Integrity

Integrity.

  1. Which practices such as preregistration guard against HARKing and p-hacking? provenance
  2. How should negative results be reported? action

What the second pass must settle

  • Should statistical hypothesis testing be a separate entry?
  • How should preregistration resources be linked?
  • How should speculative hypotheses be labelled?