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

Random and Systematic Errors01:20

Random and Systematic Errors

14.2K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.2K
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

99.1K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
99.1K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

13.9K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
13.9K
Accuracy and Precision01:52

Accuracy and Precision

13.8K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate...
13.8K
The Scientific Method01:32

The Scientific Method

255.0K
The scientific method is a detailed, empirical problem-solving process used by biologists and other scientists. This iterative approach involves formulating a question based on observation, developing a testable potential explanation for the observation (called a hypothesis), making and testing predictions based on the hypothesis, and using the findings to create new hypotheses and predictions.
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
255.0K
Improving Translational Accuracy02:07

Improving Translational Accuracy

13.9K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
13.9K

You might also read

Related Articles

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

Sort by
Same author

The architecture of the internet creates risks for democracy.

Science (New York, N.Y.)·2026
Same author

Forget For Now, but Remember Later: Can People Selectively Remove Information From Working Memory While Keeping it in Long-Term Memory?

Journal of cognition·2026
Same author

Bindings for Action: Bridging the Gap Between Theories of Procedural Working Memory and Action Control Research.

Journal of cognition·2026
Same author

Internet platforms must be held accountable for their actions.

Science (New York, N.Y.)·2026
Same author

Tolerance for democratic norm violations increases when sincerity replaces accuracy as a marker of honesty.

Communications psychology·2026
Same author

Revisiting Hebb: The Mechanisms of Repetition Learning.

Perspectives on psychological science : a journal of the Association for Psychological Science·2026
Same journal

Demonstration of a quantum C-NOT gate in a time-multiplexed fully reconfigurable photonic processor.

Nature communications·2026
Same journal

Nonlinear quantum light source with van der Waals ferroelectric NbOX<sub>2</sub> (X = Br, I).

Nature communications·2026
Same journal

Antagonistic histone H2A variants and autonomous heterochromatin formation shape epigenomic patterns in Arabidopsis.

Nature communications·2026
Same journal

The long tail of nitrate pollution in groundwater challenges governance of global water quality.

Nature communications·2026
Same journal

Select microbial metabolites promote tau aggregation in a murine tauopathy model.

Nature communications·2026
Same journal

Warming climate has lengthened global intense tropical cyclone seasons.

Nature communications·2026
See all related articles

Related Experiment Video

Updated: Dec 30, 2025

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion
08:29

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion

Published on: March 31, 2022

4.8K

Low replicability can support robust and efficient science.

Stephan Lewandowsky1,2, Klaus Oberauer3

  • 1School of Psychological Science, University of Bristol, 12A, Priory Road, Bristol, BS8 1TU, UK. stephan.lewandowsky@bristol.ac.uk.

Nature Communications
|January 19, 2020
PubMed
Summary
This summary is machine-generated.

The scientific community faces a replication crisis, but publishing studies before replication, if managed well, can be efficient. This approach minimizes costs and maximizes knowledge gain, suggesting low replicability can support robust science.

More Related Videos

Author Spotlight: Biological Standardization to Ensure Reproducibility and Harmonization in Research
04:50

Author Spotlight: Biological Standardization to Ensure Reproducibility and Harmonization in Research

Published on: August 4, 2023

1.5K
Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
05:07

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

264

Related Experiment Videos

Last Updated: Dec 30, 2025

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion
08:29

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion

Published on: March 31, 2022

4.8K
Author Spotlight: Biological Standardization to Ensure Reproducibility and Harmonization in Research
04:50

Author Spotlight: Biological Standardization to Ensure Reproducibility and Harmonization in Research

Published on: August 4, 2023

1.5K
Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
05:07

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

264

Area of Science:

  • Psychology
  • Scientific methodology
  • Research integrity

Background:

  • Psychology is experiencing a significant replication crisis, with many established findings failing to replicate.
  • Identified causes include underpowered studies, publication bias, and flawed statistical practices.

Purpose of the Study:

  • To model different replication regimes within a scientific community.
  • To evaluate the efficiency and knowledge gain under various replication strategies.

Main Methods:

  • Computer modeling of a scientific community.
  • Simulation of two replication regimes: pre-publication replication vs. post-publication replication based on interest.

Main Results:

  • Publishing studies before replication, even if potentially non-replicable, is more cost-effective and efficient for knowledge acquisition.
  • This strategy maximizes the scientific community's overall gain in knowledge.

Conclusions:

  • Low replicability, when managed appropriately, can foster robust and efficient scientific progress.
  • The findings challenge traditional views on replication and publication, advocating for a more flexible approach.