通过预测比赛将概率判断纳入政策辩论
Philip E Tetlock1, Barbara A Mellers2, J Peter Scoblic3
1Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA. tetlock@wharton.upenn.edu.
概括
政治预测锦标赛使用概率估计提高预测准确性, 即使对于独特的事件. 这些有结构的竞争也可以帮助去分化辩论和解决政策争端.
科学领域:
- 政治科学
- 决策科学
- 情报研究
背景情况:
- 由于语言模糊,政治辩论往往缺乏准确的预测,阻碍了政策评估和改进.
- 预测的准确性对于有效的政策制定和理解复杂的政治环境至关重要.
研究的目的:
- 探索结构化预测比赛如何提高预测准确度.
- 调查赛事在改善政策争端解决和政治话语脱极化的潜力.
主要方法:
- 一个由美国情报机构赞助的比赛被用来分析预测方法.
- 这项研究基于有关问责制对绩效和决策的影响的文献.
主要成果:
- 预测人员在预测中更好地使用概率估计,包括对独特事件的预测.
- 赛事被认为是预测知识生成的有效工具.
结论:
- 结构化预测锦标赛提供了一种可行的方法来提高预测准确性并产生有价值的知识.
- 通过问责制促进政治辩论和政策决策.
相关概念视频
Decision Making: P-value Method
7.1K
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...
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...
7.1K
Decision Making: Traditional Method
5.6K
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...
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...
5.6K
Testing a Claim about Population Proportion
4.0K
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...
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...
4.0K
Prediction Intervals
3.5K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.5K
Decision Making
1.2K
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...
Automatic decision-making is fast, intuitive, and relies on gut feelings...
1.2K
Hindsight Biases
4.5K
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?
4.5K


