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Related Concept Videos

Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Random and Systematic Errors01:20

Random and Systematic Errors

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...
Random and Systematic Errors01:20

Random and Systematic Errors

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...
Decision Making01:20

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system.
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...

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Updated: Jul 10, 2026

Errors as a Means of Reducing Impulsive Food Choice
07:07

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Published on: June 5, 2016

Systematic mistakes are likely in bounded optimal decision-making systems.

Adi Livnat1, Nicholas Pippenger

  • 1Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. alivnat@berkeley.edu

Journal of Theoretical Biology
|November 21, 2007
PubMed
Summary
This summary is machine-generated.

Systematic mistakes are predictable errors, not due to uncertainty. Even optimal decision-makers exhibit these errors due to computational constraints, aligning with natural selection principles in behavioral science.

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Area of Science:

  • Behavioral Science
  • Computational Neuroscience
  • Evolutionary Biology

Background:

  • Systematic mistakes are repeatable and predictable errors, distinct from those caused by uncertainty or lack of information.
  • Understanding these errors is crucial in behavioral sciences for modeling decision-making processes.

Purpose of the Study:

  • To provide a mathematical definition of systematic mistakes.
  • To develop an analytical model of information processing networks.
  • To investigate the inevitability of systematic mistakes in decision-making.

Main Methods:

  • Defined systematic mistakes mathematically.
  • Developed an analytical model of large-scale information processing networks.
  • Analyzed decision-making under computational constraints.

Main Results:

  • Established a formal definition for systematic mistakes.
  • Demonstrated that optimal decision-makers inevitably make systematic mistakes across most behavioral tasks.
  • Showed these errors persist under various computational complexity limitations.

Conclusions:

  • Violations of rationality in humans and animals are consistent with systematic mistakes.
  • Natural selection, operating under constraints, may favor decision-making processes that lead to systematic errors.
  • Findings suggest a biological basis for seemingly irrational behavior.