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Related Concept Videos

Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Stratified Sampling Method01:16

Stratified Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
Thematic Layering in GIS01:30

Thematic Layering in GIS

In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
The Representativeness Heuristic02:13

The Representativeness Heuristic

The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.

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Related Experiment Video

Updated: Jun 8, 2026

Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses
06:42

Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses

Published on: September 28, 2018

Tactical voting in plurality elections.

Nuno A M Araújo1, José S Andrade, Hans J Herrmann

  • 1Computational Physics for Engineering Materials, Institute for Building Materials, ETH Zurich, Zurich, Switzerland. nuno@ethz.ch

Plos One
|September 22, 2010
PubMed
Summary
This summary is machine-generated.

Tactical voting explains unusual election result distributions. This model clarifies vote polarization and small victory margins, analyzing poll impacts in major elections.

Related Experiment Videos

Last Updated: Jun 8, 2026

Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses
06:42

Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses

Published on: September 28, 2018

Area of Science:

  • Political Science
  • Computational Social Science
  • Voting Theory

Background:

  • Observed anomalous vote distributions in large country election results.
  • Unexplained patterns in election outcomes suggest underlying behavioral factors.

Purpose of the Study:

  • Identify the cause of anomalous vote distributions in plurality elections.
  • Model the impact of tactical voting on election outcomes.
  • Explain vote polarization and small victory margins.

Main Methods:

  • Developed a model incorporating poll feedback and individual social interactions.
  • Analyzed tactical voting's effect on plurality election dynamics.
  • Quantitatively reproduced vote distributions from Brazilian mayoral elections.

Main Results:

  • Tactical voting is identified as a key driver of anomalous election result distributions.
  • The model successfully explains vote polarization between candidates.
  • The model accurately reproduces observed small victory margins and poll impacts.

Conclusions:

  • Tactical voting significantly influences election outcomes and vote distributions.
  • The developed model provides a quantitative explanation for observed electoral anomalies.
  • Findings have implications for understanding and predicting election results across different countries.