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

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):
The Representativeness Heuristic02:13

The Representativeness Heuristic

The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Hypothesis: Accept or Fail to Reject?01:17

Hypothesis: Accept or Fail to Reject?

The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null hypothesis and 'fail to...
Errors In Hypothesis Tests01:14

Errors In Hypothesis Tests

When performing a hypothesis test, there are four possible outcomes depending on the actual truth (or falseness) of the null hypothesis and the decision to reject or not.
Heuristics01:21

Heuristics

Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...

You might also read

Related Articles

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

Sort by
Same author

Tumor localization strategies of multicancer early detection tests: a quantitative assessment.

JNCI cancer spectrum·2025
Same author

Hickam's Dictum: An Analysis of Multiple Diagnoses.

Journal of general internal medicine·2024
Same author

Chylothorax in a Young Woman With Crohn Disease.

Chest·2024
Same author

Anchoring to a Diagnosis?

JAMA internal medicine·2023
Same author

The Verity of a Unifying Diagnosis.

Medical decision making : an international journal of the Society for Medical Decision Making·2023
Same author

Bicarbonate as a predictor of successful insulin transition in critically ill patients with diabetic ketoacidosis: A retrospective cohort study.

Pharmacotherapy·2023

Related Experiment Video

Updated: Jun 25, 2026

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
06:58

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing

Published on: January 24, 2020

The normalization heuristic: an untested hypothesis that may misguide medical decisions.

Scott K Aberegg1, James M O'Brien

  • 1The Ohio State University College of Medicine, Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, 201 Davis Heart Lung Research Institute, 473 West 12th Avenue, Columbus, Ohio 43210, USA. scottaberegg@gmail.com

Medical Hypotheses
|February 24, 2009
PubMed
Summary

Many clinical decisions rely on the "normalization heuristic," assuming that correcting abnormal lab values improves patient outcomes. This study defines the heuristic and explores its limitations using historical and current examples.

Related Experiment Videos

Last Updated: Jun 25, 2026

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
06:58

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing

Published on: January 24, 2020

Area of Science:

  • Medical Practice
  • Clinical Decision Making
  • Evidence-Based Medicine

Background:

  • Randomized controlled trials (RCTs) are key in medical practice.
  • When RCT evidence is lacking, clinical hypotheses guide decision-making.
  • A common hypothesis is that normalizing abnormal physiological parameters improves patient outcomes.

Purpose of the Study:

  • To operationally define the "normalization heuristic."
  • To discuss the limitations of the normalization heuristic in clinical decision-making.
  • To review historical and current examples of normalization practices.

Main Methods:

  • Literature review of historical and contemporaneous examples.
  • Conceptual analysis and operational definition of the normalization heuristic.

Main Results:

  • The normalization heuristic is a widely used clinical hypothesis.
  • Examples demonstrate the heuristic's application in medical therapeutics.
  • The heuristic's limitations as a decision-making rule are highlighted.

Conclusions:

  • The normalization heuristic, while common, is a fragile guide for clinical decision-making.
  • Understanding the heuristic's limitations is crucial for evidence-based practice.
  • Further research is needed to refine therapeutic strategies beyond simple normalization.