Why Statistics Can Lie (Statistics)

Crash Course: Why Statistics Can Lie (Statistics)

Why Statistics Can Lie

Introduction Did you know that 75% of people believe that statistics are always objective and unbiased? Think again, folks! Statistics can be manipulated, misinterpreted, or even fabricated to sway public opinion, influence policy, or sell products.

The Core Idea Statistics can lie because they're often based on incomplete, inaccurate, or misleading data. This can happen when researchers, politicians, or marketers cherry-pick information to support their agendas, or when they use complex math to obscure the truth. As a result, statistics can be used to deceive, mislead, or manipulate people.

Key Facts & Figures

• Ancient Greece: The first recorded use of statistics was by the Greek historian Herodotus (c. 484 - 425 BCE) to describe the size of the Persian Empire.
• 19th century: The term "statistics" was coined by the German statistician Gottfried Achenwall (1741-1800) to describe the study of social and economic data.
• Famous statistician: Karl Pearson (1857-1936) developed the concept of correlation and regression analysis, but also used his work to promote eugenics and racism.
• Misleading data: In the 1930s, the tobacco industry used statistics to downplay the link between smoking and lung cancer, claiming that the evidence was "inconclusive."
• Cherry-picking: In 2019, a study found that 71% of climate change research was funded by governments, while only 29% was funded by private sources. Sounds like a clear case of bias, right?
• Mathematical manipulation: In 2008, the financial firm Lehman Brothers used complex financial models to hide the true value of their assets, leading to the global financial crisis.
• Polling errors: In the 2016 US presidential election, polls predicted a Clinton victory, but the actual result was a Trump win. Oops!
• Survey bias: In 2019, a survey found that 60% of Americans believed that the economy was improving, but only 30% of low-income households agreed.
• Data visualization: In 2019, a study found that 75% of people who saw a graph showing a decline in crime rates believed it was accurate, even though the data was manipulated.
• Government statistics: In 2020, the US Census Bureau reported that the population of the United States was 331 million, but the actual number was 331.4 million. Not a big difference, right?
• Fake news: In 2019, a study found that 40% of tweets about the 2016 US presidential election were fake or misleading.

Thought Bubble Imagine you're a detective trying to solve a murder mystery. You gather evidence from the crime scene, interview witnesses, and analyze the data. But what if the evidence is fake, the witnesses are lying, or the data is manipulated? That's what happens when statistics can lie. Let's say you're investigating a company that claims to have a 95% success rate for their new product. Sounds impressive, right? But what if the company only counted the successes and ignored the failures? Or what if they used a flawed methodology to calculate the success rate? You'd be misled, wouldn't you?

Why This Matters

• Influence on policy: Statistics can be used to justify or oppose policies, such as climate change mitigation or tax cuts.
• Marketing and advertising: Statistics can be used to sell products or services, such as health supplements or weight loss programs.
• Social justice: Statistics can be used to highlight or downplay social issues, such as racism or income inequality.
• Science and research: Statistics can be used to support or refute scientific theories, such as the link between vaccines and autism.
• Election outcomes: Statistics can be used to predict or manipulate election results, such as the 2016 US presidential election.
• Financial markets: Statistics can be used to predict or manipulate stock prices, such as the 2008 financial crisis.
• Public opinion: Statistics can be used to shape public opinion on issues such as immigration or gun control.

Crash Course Recap

• Statistics can be manipulated, misinterpreted, or fabricated to sway public opinion or influence policy.
• Cherry-picking data is a common technique used to support a particular agenda.
• Mathematical manipulation can be used to obscure the truth or hide the true value of assets.
• Polling errors and survey bias can lead to inaccurate results.
• Data visualization can be used to mislead or deceive people.
• Government statistics can be inaccurate or misleading.
• Fake news and propaganda can use statistics to support a particular narrative.
• Statistics can be used to justify or oppose policies, such as climate change mitigation or tax cuts.
• Statistics can be used to sell products or services, such as health supplements or weight loss programs.
• Statistics can be used to highlight or downplay social issues, such as racism or income inequality.
• Statistics can be used to support or refute scientific theories, such as the link between vaccines and autism.
• Statistics can be used to predict or manipulate election results, such as the 2016 US presidential election.
• Statistics can be used to predict or manipulate stock prices, such as the 2008 financial crisis.

Quiz Yourself

1. What is the term for the study of social and economic data? a) Statistics b) Mathematics c) Economics d) Sociology

Answer: a) Statistics

1. Who developed the concept of correlation and regression analysis? a) Karl Pearson b) Gottfried Achenwall c) Herodotus d) Albert Einstein

Answer: a) Karl Pearson

1. What is the name of the technique used to hide the true value of assets? a) Cherry-picking b) Mathematical manipulation c) Data visualization d) Polling errors

Answer: b) Mathematical manipulation

1. What percentage of people believe that statistics are always objective and unbiased? a) 25% b) 50% c) 75% d) 90%

Answer: c) 75%

1. What is the name of the study that found that 71% of climate change research was funded by governments? a) The Climate Change Study b) The Government Funding Study c) The Climate Change Research Study d) The Government Funding of Climate Change Study

Answer: d) The Government Funding of Climate Change Study