Seven ways numbers fool you

Seven short posts. One mistake each. Real cases. Watch every picture build itself, step by step.

Playback speed

each step holds about 6 seconds

Post 1 of 7 · Sampling

The planes that came back

In 1943, US planes came back from the war with bullet holes. The holes were on the wings and the tail. The army wanted to put armour there.

Abraham Wald, a statistician, said no. These planes came home. The planes hit in the engine never came back. So the engine needs the armour.

Bullet holes recorded on returning bombers, 1943

14 hits, all on wings and tail Nothing here, so armour here
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From the news

Freakonomics, New York Times2008

From Good to Great … to Below Average

Economist Steven Levitt checked the 11 winning companies in the bestseller. Circuit City had gone bankrupt and Fannie Mae needed a government rescue. Together the 11 did worse than the stock market.

Read the original ↗
J. American Statistical Association1984

The bomber story, the original paper

Abraham Wald worked for the US Statistical Research Group in 1943. His wartime reports were only published decades later.

Background ↗
The same trap todayThe bestseller Good to Great studied 11 winning companies chosen from 1,435. Within seven years one was bankrupt and one was rescued by the government. The book never looked at the companies that did the same things and failed.
Better methodBefore you count, ask who is missing. Count the planes that left, not only the planes that returned.

Who is missing from this data?The data you can see is the data that survived.

Post 2 of 7 · Averages

The average that nobody earns

Add all the salaries and divide by the number of people. That is the mean. One billionaire in the list makes the mean very big.

The median is the person in the middle. Half earn more, half earn less. A billionaire moves the middle by one person only.

Yearly pay on one street, in dollars

0 50k 100k 150k 200k+ mean54,850 54,000median 3,000,000
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From the news

UBS Global Wealth Report15 Aug 2023

Wealth per adult in the US: mean 551,000, median 108,000

The report lists both numbers side by side. Most news stories quote only the first one.

Read the original ↗
The same trap in every wealth reportThe average American adult owns about 550,000 dollars. The person in the middle owns about 110,000. Both numbers are true. Only one describes a real person.
Better methodWhen some values are very big, use the median. Show the range from the 25th to the 75th person too, so readers see the spread.

Is this the mean or the median?If the word is only average, ask which one.

Post 3 of 7 · Percentages

Bacon and the 18 percent

In 2015 the World Health Organization said processed meat raises bowel cancer risk by 18 percent. Newspapers said bacon causes cancer. Sales fell.

Out of 100 people, about 6 get bowel cancer in their life. With bacon every day, it is about 7. One extra person. That is the 18 percent.

Lifetime bowel cancer in 100 people

+18%
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From the news

The Guardian26 Oct 2015

Processed meats rank alongside smoking as cancer causes, says WHO

The 18 percent figure travelled around the world in a day. The absolute numbers did not.

Read the original ↗
Cancer Research UK26 Oct 2015

The same finding in real numbers

Out of 1,000 people who eat little processed meat, about 56 get bowel cancer. Out of 1,000 who eat the most, about 66. Ten extra people.

Read the explainer ↗
The same trap in 1995UK health officials said a new contraceptive pill doubled the risk of blood clots. The risk went from 1 in 7,000 to 2 in 7,000. Many women stopped the pill. Abortions rose by thousands the next year.
Better methodAlways show the real numbers next to the percent: 6 in 100 becomes 7 in 100. Also say how many people must eat it for one extra case. Here it is about 100.

18 percent of what?A big percent of a small number is still a small number.

Post 4 of 7 · Charts

The axis that starts at 34

In 2012 a US TV channel showed a tax going from 35 to 39.6 percent. The chart started at 34, not at zero. So the second bar looked five times taller.

Start the chart at zero. The big jump becomes a small step.

Top US tax rate if the cuts expire

35% 39.6% Now Jan 2013 34 40
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Chart redrawn from the broadcast, not a screenshot

From the news

Fox Business, Cavuto31 Jul 2012

Top tax rate: now 35%, in 2013 39.6%

The on air chart started its axis at 34. Media Matters and FlowingData published the original next to a corrected version.

See the original chart ↗

The same trick has a twin. In May 2020 the state of Georgia showed daily virus cases. The dates were not in order. So the bars looked like they were going down. Put the dates in order and the drop disappears.

Daily confirmed cases, Georgia, spring 2020

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Chart redrawn from the published version, not a screenshot

From the news

Business InsiderMay 2020

A graph shows Georgia bungling its coronavirus data

Posted by the state health department on 10 May 2020. April 28 came before April 27. A state representative wrote to the governor and the chart was replaced.

See the original chart ↗
Better methodBars start at zero. Dates go in order. If a small change matters, write the number in words: 4.6 points.

Where does the chart start? Are the dates in order?A chart is a sentence. Read it before you believe it.

Post 5 of 7 · Cause and effect

Chocolate and Nobel prizes

In 2012 a medical journal showed something funny. Countries that eat more chocolate win more Nobel prizes. The line was almost perfect.

Chocolate does not make people smart. Rich countries buy more chocolate and pay for more universities. Money moves both.

Countries, chocolate against Nobel prizes

Chocolate eaten per person Nobel prizes Dot size is national income
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From the news

Reuters13 Oct 2012

Eat chocolate, win the Nobel Prize?

The study appeared in the New England Journal of Medicine on 10 October 2012. It compared 23 countries and found a correlation of 0.79.

Read the original ↗
Daily Mail30 Apr 2009

Half a glass of wine a day can add almost five years to your life

The study followed 1,400 Dutch men for 40 years. Light wine drinkers lived longer. Nobody was made to drink wine by chance, so the wine drinkers were different people in many other ways too.

See the headline collection ↗
The same trap todayNewspapers say a glass of red wine helps you live longer. People who drink a little wine also tend to earn more, exercise more and see a doctor more often. The wine gets the credit.
Better methodLook for a third thing that moves both. The best test is a trial where chance decides who gets the treatment. If that is not possible, put the third thing in the model and see if the link disappears.

What third thing moves both?Two lines going up together is not a reason.

Post 6 of 7 · Probability

The test that is 99 percent accurate

A disease affects 1 person in 1000. The test is right 99 times out of 100. You test positive. Most people say: you are 99 percent sick. Many doctors say it too.

Look at 1000 people. One is sick. About 10 healthy people also get a positive result. So 11 people are positive and only one is really sick. Your real chance is about 9 percent.

1000 people, one rare disease, one very good test

truly sick false alarm
1000people tested
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From the news

BBC News4 May 2018

2,000 wrongly matched with possible criminals at Champions League

2,470 alerts, 2,297 wrong. Only 173 were real matches. Precision: 7 percent.

Read the original ↗
The same trap in Cardiff, 2017Police used face recognition on the crowd at the Champions League final. The system marked 2,470 people as wanted. 2,297 were innocent, because almost nobody in a stadium is on the list.
Better methodDo not ask for accuracy. Ask for two numbers. Recall: of the sick people, how many does the test find? Precision: of the positive results, how many are real? Here recall is 100 percent and precision is 9 percent. A confusion matrix shows all four counts in one small table.

How rare was it before the test?A rare disease makes a good test noisy.

Post 7 of 7 · Research

The studies in the drawer

74 trials of antidepressant drugs were registered in the US. About half showed the drug did not beat a sugar pill.

Almost all the negative trials were never published, or were written to sound positive. A doctor reading the journals saw 94 percent success. The truth was 51.

74 registered trials, and what doctors got to read

never published, or reworded to sound positive
74trials actually run
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From the news

New York Times17 Jan 2008

Antidepressant studies unpublished

74 trials sent to the FDA. 37 of 38 positive ones were published. Of 36 negative ones, 22 never appeared and 11 were rewritten to sound positive.

Read the study summary ↗
The Guardian10 Apr 2014

What the Tamiflu saga tells us about drug trials

The UK spent about 500 million pounds on the drug. Researchers fought for four and a half years to see the full trial data.

Read the BMJ report ↗
The same trap with TamifluGovernments spent billions on the flu drug. Researchers asked for the full trial data for four years. When they got it, the real benefit was much smaller than the published papers said.
Better methodRegister every trial before it starts. Then count all of them at the end, published or not. A funnel plot shows the gap where the missing studies should be.

What did not get published?Silence is data too.