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Related Concept Videos

Cause and Effect01:53

Cause and Effect

While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
Reason and Intuition01:37

Reason and Intuition

The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...
Framing Effects03:26

Framing Effects

Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in different ways based on the...
Hindsight Biases01:12

Hindsight Biases

Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
Criteria for Causality: Bradford Hill Criteria - I01:30

Criteria for Causality: Bradford Hill Criteria - I

The Bradford Hill criteria are a group of principles that provide a framework to determine a causal relationship between a specific factor and a disease. There are nine criteria that are pivotal in assessing causality in epidemiological studies. Here's a closer look at Strength, Consistency, Specificity, and Temporality criteria with definitions and examples:
Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:

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Related Experiment Video

Updated: May 10, 2026

A Real-world What-Where-When Memory Test
09:13

A Real-world What-Where-When Memory Test

Published on: May 16, 2017

Does the "why" tell us the "when"?

Christos Bechlivanidis1, David A Lagnado

  • 1University College London, Division of Psychology and Language Sciences, UK. ucjtcbe@ucl.ac.uk

Psychological Science
|June 28, 2013
PubMed
Summary
This summary is machine-generated.

Causal beliefs, not just timing, shape how people perceive event order. Our study shows that established cause-and-effect understanding can override objective temporal perception, even when timing is clear.

Keywords:
causal judgmentcausalityperceptiontemporal ordertime

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Related Experiment Videos

Last Updated: May 10, 2026

A Real-world What-Where-When Memory Test
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Published on: May 16, 2017

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06:08

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Published on: July 22, 2025

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26:41

Perspectives on Neuroscience

Published on: July 31, 2007

Area of Science:

  • Cognitive Psychology
  • Human Causality
  • Perception Science

Background:

  • Traditional models posit temporal order perception as foundational to causal reasoning.
  • Limited research explores how pre-existing causal beliefs influence temporal perception.

Purpose of the Study:

  • To investigate whether causal beliefs can override objective temporal order in perception.
  • To examine the inferential route from causal beliefs to temporal judgments.

Main Methods:

  • Participants interacted with a simulated physics environment to form causal beliefs.
  • Judgments of temporal order were collected after stable causal beliefs were induced.
  • Objective temporal order was contrasted with participants' reported temporal order.

Main Results:

  • Induced causal beliefs significantly influenced participants' perception of temporal order.
  • Reported temporal order diverged from objective temporal order, sometimes reversing it.
  • This effect occurred even when temporal resolution capabilities were sufficient.

Conclusions:

  • Human causal reasoning can operate in reverse, with beliefs shaping temporal perception.
  • Perception of temporal order is malleable and can be distorted to align with causal expectations.
  • This challenges traditional views and highlights the reconstructive nature of temporal perception in causal inference.