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 Experiment Video

Updated: Feb 8, 2026

Mixed Reality Technology and Three-Dimensional Printing in Teaching: Heart Anatomy as an Example
06:18

Mixed Reality Technology and Three-Dimensional Printing in Teaching: Heart Anatomy as an Example

Published on: April 18, 2025

832

Folkscience: coarse interpretations of a complex reality.

Frank C. Keil1

  • 1Yale University, 06520 8249, New Haven, CT, USA

Trends in Cognitive Sciences
|August 9, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

Mass Spectrum: Interpretation01:24

Mass Spectrum: Interpretation

3.4K
An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a soft-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.To...
3.4K
Shape and Texture of Coarse Aggregate01:25

Shape and Texture of Coarse Aggregate

696
Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
696
Interpreting R Charts01:22

Interpreting R Charts

359
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
359
Interpreting Run Charts01:25

Interpreting Run Charts

4.0K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
4.0K
Interpretation of Confidence Intervals01:19

Interpretation of Confidence Intervals

10.1K
A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
10.1K
Interpreting X̄ Charts01:13

Interpreting X̄ Charts

315
Interpreting x̄ charts, a type of control chart used in statistical process control helps monitor the variation in processes over time. The x̄ chart is based on the sample mean and allows for monitoring variations in the process mean over time. These charts are pivotal for quality assurance in manufacturing and other sectors.
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line...
315

You might also read

Related Articles

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

Sort by
Same journal

Misinformation as strategy: Epistemic consequences and the undermining of shared truth.

Trends in cognitive sciences·2026
Same journal

Geographical psychology: Spatial variation in psychological phenomena and their consequences.

Trends in cognitive sciences·2026
Same journal

Multi-brain neurofeedback: what are we training for?

Trends in cognitive sciences·2026
Same journal

The developing vocal self.

Trends in cognitive sciences·2026
Same journal

Searching beyond decrements: Attentional guidance across the adult lifespan.

Trends in cognitive sciences·2026
Same journal

Looking into working memory through micro eye movements.

Trends in cognitive sciences·2026
See all related articles

People overestimate their understanding of the world due to an illusion of knowledge depth. Cognitive frameworks and cultural knowledge sharing help fill these gaps, even in children.

Area of Science:

  • Cognitive Science
  • Psychology of Knowledge

Background:

  • Cognitive science increasingly relies on intuitive theories.
  • A significant challenge is the widespread illusion of explanatory depth.

Purpose of the Study:

  • To investigate the illusion of knowledge depth in explanatory understanding.
  • To explore the cognitive mechanisms underlying people's perceived understanding of the world.

Main Methods:

  • Analysis of recent studies on explanatory understanding.
  • Examination of cognitive frameworks and expectation structures.
  • Investigation of reliance on cultural division of cognitive labor.

Main Results:

  • People generally understand the world in less detail than they believe.

More Related Videos

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report
07:45

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report

Published on: August 4, 2022

3.9K
The use of Biofeedback in Clinical Virtual Reality: The INTREPID Project
06:52

The use of Biofeedback in Clinical Virtual Reality: The INTREPID Project

Published on: November 12, 2009

15.7K

Related Experiment Videos

Last Updated: Feb 8, 2026

Mixed Reality Technology and Three-Dimensional Printing in Teaching: Heart Anatomy as an Example
06:18

Mixed Reality Technology and Three-Dimensional Printing in Teaching: Heart Anatomy as an Example

Published on: April 18, 2025

832
The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report
07:45

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report

Published on: August 4, 2022

3.9K
The use of Biofeedback in Clinical Virtual Reality: The INTREPID Project
06:52

The use of Biofeedback in Clinical Virtual Reality: The INTREPID Project

Published on: November 12, 2009

15.7K
  • Distinctive properties of explanatory understanding contribute to this illusion.
  • Skeletal expectation frameworks enable on-the-fly theory construction.

    • Conclusions:

    • The illusion of knowledge depth is a key factor in cognitive science research.
    • Cognitive frameworks and cultural knowledge sharing compensate for limited individual understanding.
    • These compensatory mechanisms are present from early childhood.