Why Do Statistics Get A Bad Rap?

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## Why Are Statistics Problematic?

Why do statistics pose challenges? Statistics inherently involve a process of simplification, where some of the nuanced details from the original measurements may be lost. This simplification can sometimes lead to what is known as “analysis paralysis,” where individuals become so engrossed in the statistical intricacies that they struggle to make clear decisions. Moreover, it’s important to recognize that no matter how extensive the statistical analysis, it can never guarantee absolute certainty. In statistical work, there is always a degree of uncertainty, and there’s a possibility that our conclusions may not be entirely accurate. This inherent uncertainty calls for a cautious approach when interpreting statistical findings. (Original date: May 19, 2020)

## Why Are Statistics Not Always Reliable?

Why can statistics sometimes be considered unreliable? The reliability of statistics can be compromised due to various factors, with one significant factor being the method used to collect data. For instance, the size and composition of the sample utilized in statistical analysis are critical determinants of data reliability. Often, polls and questionnaires are designed to target specific groups or demographics, leading to limited and biased sample sizes. This bias can skew the results, making them less representative of the broader population. As a result, drawing accurate and generalizable conclusions from such data can be challenging. (Source: November 28, 2019)

## Discover 22 Why do statistics have a bad reputation

Categories: Discover 99 Why Do Statistics Have A Bad Reputation

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The main reason behind the poor use of statistics is **a lack of understanding about what statistics can and cannot do**. Many people think that statistics can speak for themselves. But numbers are as ambiguous as words and need just as much explanation.There is no possible way that statistics can fail to lose some of the information contained in the original measurements. **Statistics trap us into analysis paralysis**. No amount of statistical analysis can ever produce certainty. There is always a probability that our conclusions will be incorrect.The data can be misleading **due to the sampling method used to obtain data**. For instance, the size and the type of sample used in any statistics play a significant role — many polls and questionnaires target certain audiences that provide specific answers, resulting in small and biased sample sizes.

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