Jove
Visualize
Contact Us

Related Concept Videos

Social Scripts02:10

Social Scripts

10.0K
People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter),...
10.0K
Probability Laws01:49

Probability Laws

42.1K
Overview
42.1K
Counterfactual Thinking01:19

Counterfactual Thinking

21
Counterfactual thinking is a cognitive process wherein individuals mentally reconstruct alternative versions of past events, often beginning with “what if” or “if only.” This reflective mechanism plays a significant role in shaping emotional experiences and guiding future behavior. Though typically triggered by unfavorable or unexpected outcomes, counterfactual thinking can also emerge in mundane, everyday decisions and experiences, revealing its deep entrenchment in...
21
Probability in Statistics01:14

Probability in Statistics

16.2K
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...
16.2K
The Stanford Prison Experiment03:20

The Stanford Prison Experiment

23.8K
The famous and controversial Stanford Prison Experiment, conducted by social psychologist Philip Zimbardo and his colleagues at Stanford University, demonstrated the power of social roles, social norms, and scripts.
23.8K
The Availability Heuristic01:08

The Availability Heuristic

6.6K
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):
6.6K

You might also read

Related Articles

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

Sort by
Same author

Fake news, disinformation and misinformation in social media: a review.

Social network analysis and mining·2023
Same journal

Computational modelling distinguishes diverse contributors to aneurysmal progression in the Marfan aorta.

Proceedings. Mathematical, physical, and engineering sciences·2025
Same journal

Inferring the shape of data: a probabilistic framework for analysing experiments in the natural sciences.

Proceedings. Mathematical, physical, and engineering sciences·2023
Same journal

The Elbert range of magnetostrophic convection. I. Linear theory.

Proceedings. Mathematical, physical, and engineering sciences·2022
Same journal

Soft wetting with (a)symmetric Shuttleworth effect.

Proceedings. Mathematical, physical, and engineering sciences·2022
Same journal

The quantum theory of time: a calculus for q-numbers.

Proceedings. Mathematical, physical, and engineering sciences·2022
Same journal

Integrable nonlinear evolution equations in three spatial dimensions.

Proceedings. Mathematical, physical, and engineering sciences·2022
See all related articles
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: Oct 3, 2025

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
13:40

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

Published on: December 16, 2010

16.8K

Probability and consequences of living inside a computer simulation.

Alexandre Bibeau-Delisle1, Gilles Brassard Frs1,2

  • 1Département d'informatique et de recherche opérationnelle, Université de Montréal, C.P. 6128, Succursale Centre-Ville, Montréal, QC H3C 3J7, Canada.

Proceedings. Mathematical, Physical, and Engineering Sciences
|February 14, 2022
PubMed
Summary
This summary is machine-generated.

This study proposes a Drake-style equation to estimate the probability of our universe being a simulation. Findings suggest this probability is lower than previously thought, especially with recursive simulations.

Keywords:
eavesdroppingexistential risksimulated universes

More Related Videos

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.1K
Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

8.9K

Related Experiment Videos

Last Updated: Oct 3, 2025

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
13:40

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

Published on: December 16, 2010

16.8K
A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.1K
Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

8.9K

Area of Science:

  • * Cosmology and Astrobiology: Investigating the nature of our universe and the potential for simulated realities.

Background:

  • * The simulation hypothesis suggests our reality may be an artificial construct.
  • * Previous estimations of this probability have varied widely.

Purpose of the Study:

  • * To derive a Drake-style equation for the probability of a simulated universe.
  • * To re-evaluate the likelihood of our universe being a simulation.
  • * To explore the security implications of simulated realities, including eavesdropping and quantum cryptography.

Main Methods:

  • * Development of a probabilistic equation analogous to the Drake equation.
  • * Analysis of the equation using reasonable assumptions and evaluating bounds for key parameters.
  • * Theoretical investigation into external eavesdropping methods and cryptographic vulnerabilities within simulations.

Main Results:

  • * The derived equation indicates a lower probability for our universe being a simulation than some prior estimates.
  • * Recursive simulation scenarios further decrease this probability.
  • * A general attack is proposed that can bypass quantum cryptography in simulations.

Conclusions:

  • * The probability of our universe being a simulation is likely lower than often suggested.
  • * Simulated universes present unique security challenges, even with advanced cryptography.
  • * Further research is needed to refine probability estimates and understand inter-simulation security.