Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Forking paths problem

The garden of forking paths is a problem in frequentist hypothesis testing through which researchers can unintentionally produce false positives for a tested hypothesis through leaving themselves too many degrees of freedom. In contrast to fishing expeditions such as data dredging where only expected or apparently-significant results are published, this…

History, Multiverse analysis & Overview

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Forking paths problem. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

History

2 related topics

Multiverse analysis

2 related topics

Overview

1 related topics

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

History

Multiverse analysis

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Forking paths problem

Nodes9
Edges8
Triples11
Avg. degree1.78
Density0.222222
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data analysis multiverse analytical researchers choices degrees freedom different forking paths hypothesis results methods analyses statistical method decisions garden problem

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
data dredging where only expected or apparently-significant results are publishedinstance ofIn contrast to fishing expeditions0.80text
this allows for a similar effect even when only one experiment is runinstance ofIn contrast to fishing expeditions0.80text
through a series of choices about how to implement methodsinstance ofIn contrast to fishing expeditions0.80text
analysesinstance ofIn contrast to fishing expeditions0.80text
which are themselves informed by the data as it is observedinstance ofIn contrast to fishing expeditions0.80text
processedinstance ofIn contrast to fishing expeditions0.80text
data inclusion/exclusion criteriainstance ofThis involves altering variables0.80text
variable transformationsinstance ofThis involves altering variables0.80text
outlier handlinginstance ofThis involves altering variables0.80text
statistical modelsinstance ofThis involves altering variables0.80text
and hypothesis tests to generate a spectrum of results that could have been obtained given different analytic decisions.The key benefits of a multiverse analysis include.Transparencyinstance ofThis involves altering variables0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.