Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

549
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
549
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

3.4K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.4K
Probability in Statistics01:14

Probability in Statistics

14.4K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
14.4K
Criteria for Causality: Bradford Hill Criteria - I01:30

Criteria for Causality: Bradford Hill Criteria - I

462
The Bradford Hill criteria are a group of principles that provide a framework to determine a causal relationship between a specific factor and a disease. There are nine criteria that are pivotal in assessing causality in epidemiological studies. Here's a closer look at Strength, Consistency, Specificity, and Temporality criteria with definitions and examples:
462
The Evidence for Evolution02:55

The Evidence for Evolution

43.4K
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
43.4K
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.6K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Clinical and pathological findings in two Italian siblings of Romani ancestry with charcot-marie-tooth type 4D and review of the current literature.

Journal of neuromuscular diseases·2026
Same author

Semi-automated forensic examination of handwritten character loops.

Forensic science international·2026
Same author

Functional validation of the novel KIF5A p.R17Q VUS reveals defective axonal transport in iPSC-motoneurons from a SPG10 patient.

Frontiers in genetics·2026
Same author

Neurotrophic Modulation Restores Motor and Developmental Defects in Zebrafish Models of ints11 Deficiency.

Journal of neurochemistry·2026
Same author

A Bayesian decision approach to classify crime scene observations in sharp-force fatalities: a study on suicide vs. homicide scenarios.

International journal of legal medicine·2026
Same author

Gene-Pseudogene Inversions as a Hidden Source of Missing Heritability.

medRxiv : the preprint server for health sciences·2025
Same journal

Intercept evidence from foreign language communications: Reliability and minimum standards in the interests of justice.

The international journal of evidence & proof·2024
Same journal

Evaluating witness testimony: Juror knowledge, false memory, and the utility of evidence-based directions.

The international journal of evidence & proof·2021
See all related articles

Related Experiment Video

Updated: Aug 28, 2025

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
09:49

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

Published on: December 24, 2015

14.3K

Evidence, probability and relative plausibility.

Colin Aitken1, Franco Taroni2, Silvia Bozza3

  • 1School of Mathematics, The University of Edinburgh, UK.

The International Journal of Evidence & Proof
|September 16, 2022
PubMed
Summary
This summary is machine-generated.

This study compares probability and relative plausibility for interpreting evidence. A probabilistic approach effectively addresses criticisms and resolves overlapping evidence issues in legal and scientific reasoning.

Keywords:
conjunctioninterpretationlikelihood ratiooverlapping problemrelative plausibility

More Related Videos

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.6K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

541

Related Experiment Videos

Last Updated: Aug 28, 2025

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
09:49

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

Published on: December 24, 2015

14.3K
A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.6K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

541

Area of Science:

  • Forensic Science
  • Legal Reasoning
  • Evidence Interpretation

Background:

  • The interpretation of evidence is crucial in legal and scientific contexts.
  • Relative plausibility and probability are two distinct frameworks for evaluating evidence.
  • Existing methods face challenges in handling complex or conflicting evidence.

Purpose of the Study:

  • To compare probability and relative plausibility as methods for evidence interpretation.
  • To demonstrate the superiority of a probabilistic approach in addressing criticisms.
  • To show how probability can resolve issues of overlapping evidence.

Main Methods:

  • Comparative analysis of probabilistic and relative plausibility frameworks.
  • Argumentation for the robustness of the probabilistic approach.
  • Illustrative examples of overlapping evidence resolution using probability.

Main Results:

  • The probabilistic approach can effectively counter criticisms leveled by proponents of relative plausibility.
  • A probabilistic framework successfully resolves the problem of overlapping evidence.
  • This approach provides a more coherent method for evidence evaluation.

Conclusions:

  • Probability offers a more comprehensive and robust framework for evidence interpretation.
  • The probabilistic approach is advantageous in scenarios with conflicting or overlapping evidence.
  • This study supports the adoption of probabilistic reasoning in legal and scientific decision-making.