Top Pages
biases
cognitive effects
fallacies
deception with statistics
effective business writing
body language
Deception with Statistics
Techniques to Deceive with Statistics
Statistics is the science that deals with the collecting, classifying, analysing and interpreting numerical information. The findings from all that activity are also called statistics. So, statistics (the science) creates statistics (the results). Both the data-gathering process and interpreting the data can be manipulated to present the answer you want.Here are some common techniques used to manipulate statistics:
- Cherry picking the data
- Omitting confounding variables
- Ignoring the baseline
- Using relative language not absolute language
- Using deceptive images
- Using small samples (i.e., not allowing the Law of Large Numbers to work)
- Presenting emotive comparisons
- Using the different types of average
- Presenting biased questions
- Failing to do research
"A statistician can have his head in an oven and his feet in ice, and he will say that on average he feels fine."(Anon)
Statistics are the lifeblood of private companies, politicians and governments. They all use statistics to influence you and to manipulate your actions. For example, they will use them to persuade you to make investment decisions, to encourage you to buy their products, or to show you they are tough on crime or skilled at managing the economy.However, manipulative companies and individuals have become highly adept at spinning statistics to make the "facts" look more favourable to them.
You Can't Trust the Experts
Never forget that lots of the statistics you see are not designed to inform you but to influence you to buy something or to adopt someone else's point of view. And also bear in mind that some of the worst offenders are the respectably titled experts who operate in fields you know nothing about. These people are actively spinning statistics to influence you. It's their job. So, we all need to be far more sceptical about statistics. (Even if the statistics are not outright lies or obviously biased, there's a fair chance they're being presented by people ignorant of or indifferent to their accuracy.)"I only believe in statistics that I doctored myself."
(Sir Winston Churchill 1874–1965)
Also, remain mindful that when you use statistics (and often your audience will expect objective empirical evidence to back your arguments), you expose your reasoning to attack. Don't be afraid to use statistics, just make sure they've been properly researched and are intellectually defensible. The challenge is to have factored in all the variables before you present your statistics. It's quite hard for someone to check your underlying data. It's far easier for them to find a confounding variable (i.e., a factor you've not considered). And don't forget to examine the reverse logic and be prepared to explain it. Also, use as many samples as you can to lower the P-value, and make sure they're not from a biased pool.
(Sir Winston Churchill 1874–1965)
"The individual source of the statistics may easily be the weakest link."
(British statistician and banker Josiah Stamp, 1880–1941)
(British statistician and banker Josiah Stamp, 1880–1941)
Scrutinise the Language
Let's take a motor insurance advert that had a graphic image of a car crash and the text stating that car crashes cause 2,538 deaths per year and that "1 in 200 people are killed in car crashes". Never forget that fear sells, marketeers haven't.I thought that the "200" figure looked a bit low, so I went trawling for some statistics to back it up. I couldn't find any. So, did they just make up that "1 in 200 people are killed in car crashes"? Possibly. But, in my experience, these people are usually a little bit more conscientious than just inventing figures. So, were they spinning the truth with their language? Probably, and this is my suspicion.
Let's look at those words again "1 in 200 people are killed in car crashes." What does that mean? Does it mean the cause of death for 1 in 200 of us will be a car crash? Well, it could mean that. But, it could also mean that 1 in 200 of us will die if we are in a car crash. The English is ambiguous.
- "Scientists have proven it will make your skin smoother." (Whose scientists? This is an example of an appeal to an unnamed authority.)
- "It contains polypeptides that help the cells communicate." (This is an example of obfuscation fallacy.)
- "Formulated with active Dead Sea minerals, our vitamin E-infused nourishing cream is enriched with ivory-coloured Shea butter and organic jojoba oil for continuous hydration." (Coupled with a high price tag this is an example of the creating the expectation effect (i.e., when something is considered better because you expect it to be better).)
Critical Thinking Test
Are you good at spotting the biases, fallacies, and other cognitive effects? Can you spot when statistics have been manipulated? Can you read body language? Well, let's see!Gold
Silver
Bronze
0
- This test has questions.
- A correct answer is worth 5 points.
- You can get up to 5 bonus points for a speedy answer.
- Some questions demand more than one answer. You must get every part right.
- Beware! Wrong answers score 0 points.
- 🏆 If you beat one of the top 3 scores, you will be invited to apply for the Hall of Fame.
Scoring System
Guru (+)
Hero (+)
Captain (+)
Sergeant (+)
Recruit (+)
Guru (+)
Hero (+)
Captain (+)
Sergeant (+)
Recruit (+)
- Do you disagree with something on this page?
- Did you spot a typo?
- Do you know a bias or fallacy that we've missed?