Reading Numbers in the News
News stories, adverts and social posts are full of averages, polls and huge numbers. A few questions help you see what a number really means. (Relative versus absolute risk and misleading charts are covered in Critical Thinking: Statistics and Charts in the News; this lesson adds averages, polls and scale.)
Watch the full video guide for this module
Three kinds of average
- La Trobe University's maths guide defines the mean as the total divided by the number of values, the median as the middle value, and the mode as the most common value.
- La Trobe's example: for the scores 10, 5, 9, 8, 6, 5, 9, 8, 7, 6, 5, 6, the mean is 84 / 12 = 7, and the median is 6.5 (the two middle values, 6 and 7, averaged).
- La Trobe notes that the mean is sensitive to outliers (unusually large or small values), and that the median is preferred when there are extreme scores.
- Worked example: nine people earn AED 10,000 a month and one earns AED 200,000. The mean is AED 29,000, but the median is AED 10,000. Which one describes a 'typical' person better?
- This is why official statistics often use the median for income: the UK Office for National Statistics reported median household disposable income of 34,500 pounds for the financial year ending 2023.
Polls and samples
- Most surveys ask a sample, not everyone. The result carries a margin of error.
- Pew Research Center, for a survey of 1,501 adults, stated with 95 percent confidence that sampling error was plus or minus 3 percentage points.
- Smaller groups have bigger margins: in the same Pew survey, subgroups of around 470 to 570 people had margins of plus or minus 5 points.
- Worked example: if a poll shows 48 percent against 45 percent with a margin of plus or minus 3 points, the true figures could overlap, so the 'lead' may not be real.
- Pew also notes that question wording and practical difficulties can add error beyond the sampling margin.
The Royal Statistical Society's checklist
- The Royal Statistical Society's Getstats campaign proposed rules of thumb for journalists, reported by journalism.co.uk in 2012. They are just as useful for readers.
- Check the source: who produced the figure, and do they have something to sell?
- Check the sample (does it represent the wider group?) and check the question (what did people actually answer?).
- Check the average: which type is being used?
- Do not over-read one change: a single movement is not a trend. And give a base: frequencies are clearer as, for example, 'per 1,000 people'.
Getting a feel for big numbers
- Millions and billions sound similar but are very different: a million seconds is about 11.6 days; a billion seconds is about 31.7 years.
- To compare places of different sizes, convert totals to rates, such as per 1,000 people (the RSS 'give a base' rule).
- Divide a big national figure by the population to get a per-person amount you can picture.
- Ask 'is that a lot?' and look for a comparison: last year, another country, or the total budget.
Practise in real life
Tick each one off when you have done it.
- Find one news story that uses an 'average'. Decide whether it is a mean or a median, and whether outliers could distort it.
- Find a poll in the news and look for the sample size and margin of error. Is the reported lead bigger than the margin?
- Take one large number from the news and turn it into a per-person or per-1,000 figure.
Remember
- Mean, median and mode answer different questions; outliers pull the mean.
- Polls have margins of error, and smaller groups have bigger ones.
- Ask who produced a number, from what sample, and compared with what.
- Turn big totals into rates or per-person figures.
Check yourself
1. Nine people earn AED 10,000 a month and one earns AED 200,000. What is the median?
2. According to La Trobe University's guide, which average is least affected by extreme values?
3. A poll of 1,501 adults has a margin of error of plus or minus 3 percentage points. What happens to the margin for a subgroup of about 500 people?
4. Which of these is one of the Royal Statistical Society's Getstats rules of thumb?
Sources
- La Trobe University Library: Measures of central tendency
- Office for National Statistics: Average household income, UK, financial year ending 2023
- Pew Research Center: About this survey (September 2007), margin of error statement
- journalism.co.uk: Royal Statistical Society Getstats campaign proposes 'number hygiene' rules for journalists (2012)

