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Related Concept Videos

The Availability Heuristic01:08

The Availability Heuristic

A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
Propagation of Uncertainty from Systematic Error01:10

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Propagation of Uncertainty from Random Error00:59

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Binomial Probability Distribution

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Related Experiment Video

Updated: Jun 1, 2026

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

Recent misconceptions about the 'database search problem': a probabilistic analysis using Bayesian networks.

A Biedermann1, S Gittelson, F Taroni

  • 1University of Lausanne, Ecole des Sciences Criminelles, Institut de Police Scientifique, le Batochime, 1015 Lausanne-Dorigny, Switzerland. alex.biedermann@unil.ch

Forensic Science International
|June 14, 2011
PubMed
Summary
This summary is machine-generated.

This study clarifies that when a suspect is identified via database search, a correction factor for database size is unnecessary for assessing evidence. The research confirms that focusing on the suspect versus an unknown source is the correct approach.

Related Experiment Videos

Last Updated: Jun 1, 2026

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

Area of Science:

  • Forensic Science
  • Probability Theory
  • Statistical Analysis

Background:

  • Assessing the evidential value of crime stain characteristics matching a suspect found through database searches.
  • Addressing concerns about database size and proposition formulation in forensic evidence evaluation.

Purpose of the Study:

  • To clarify the proper statistical assessment of forensic evidence when a suspect is identified via database search.
  • To demonstrate the inapplicability of database size correction factors and alternative propositional frameworks.

Main Methods:

  • Utilizing a graphical probability approach, specifically Bayesian networks.
  • Analyzing arguments regarding the evidential weight of crime stain-suspect matches.

Main Results:

  • Demonstrates no need to introduce a correction factor related to the searched database size.
  • Confirms that the relevant proposition is 'suspect versus an unknown other', not database-wide.
  • Validates existing literature on these forensic evidence assessment principles.

Conclusions:

  • The statistical assessment of forensic evidence from database searches does not require database size correction.
  • The correct proposition for evaluation is the suspect versus an unknown source.
  • Current findings reinforce established principles in forensic science and probability.