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Statistics Don’t Care About Opinions (Overview)

Last Updated on 10 February, 2024 by Rejaul Karim

Statistics don’t care about opinions

Definition:

Statistics is the science of collecting, analyzing, and interpreting data. Opinions are personal beliefs or judgments that cannot be proven or disproven objectively.

Key aspects:

  • Statistics are based on facts and data, while opinions are based on personal feelings and beliefs.
  • Statistics can be used to describe and analyze the world around us, while opinions can only be used to express our personal views.
  • Statistics can be used to make predictions and decisions, while opinions cannot.

Brief explanation:

The phrase “statistics don’t care about opinions” means that facts are not influenced by personal beliefs or feelings. This is because statistics are based on objective data, which is data that is collected and analyzed without bias. Opinions, on the other hand, are subjective, meaning that they are influenced by personal experiences and biases.

Example:

Imagine that two people are arguing about whether or not climate change is real. One person believes that climate change is real and is caused by human activity, while the other person believes that climate change is not real or is caused by natural factors. Both people have opinions on the matter, but neither of their opinions is a fact.

A scientist could collect data on climate change, such as global temperature records and ice core samples. This data could then be analyzed to determine whether or not climate change is real and what is causing it. The results of this analysis would be facts, regardless of what the two people in the argument believe.

Conclusion:

Statistics are a powerful tool that can be used to understand the world around us and make informed decisions. It is important to remember that statistics don’t care about opinions. When evaluating a claim, it is important to look at the evidence and not let your personal beliefs influence your judgment.

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