Engaging with Statistics and Data

Statistics and data can give your Section B essay a sense of rigour and authority that purely abstract reasoning often lacks. A well-placed statistical reference signals to the examiner that you are grounding your argument in evidence, not just opinion.

But here is the challenge: you are writing from memory, under time pressure, with no access to sources. You cannot look up exact figures. You may not remember precise statistics. And yet, a vague or incorrect statistical claim can do more harm than good.

This lesson teaches you how to reference general statistical trends responsibly, use hedging language effectively, and avoid the traps that undermine credibility.

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What "Using Statistics" Means in Section B

In a Section B essay, using statistics does not mean:

• Quoting exact figures from memory
• Providing citations or references
• Constructing data-driven arguments as you would in an academic paper

It does mean:

• Referencing general trends and patterns that are widely known
• Using approximate figures when you genuinely remember them
• Appealing to evidence in a responsible, honest way
• Demonstrating that your argument is grounded in reality, not pure speculation

What Examiners Want to See	What They Don't Want to See
Awareness that evidence exists to support your claims	Made-up statistics presented as fact
Responsible hedging when you're uncertain	False precision that could be inaccurate
Reference to real-world data, even if approximate	Abstract arguments with no connection to evidence
Intellectual honesty about the limits of your knowledge	Confident assertion of dubious numbers

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The Art of Responsible Approximation

When you remember the general direction of a statistic but not the exact figure, use language that acknowledges this honestly:

Phrases for Approximate Figures

Situation	Phrasing
You remember a rough figure	"Approximately...", "Roughly...", "In the region of..."
You remember the scale but not the number	"Hundreds of thousands...", "A significant majority...", "A substantial minority..."
You remember the trend but not the data	"Research consistently shows that...", "The evidence suggests that...", "Studies have indicated that..."
You know evidence exists but can't recall specifics	"There is considerable evidence that...", "It is widely documented that..."

Examples of Responsible Approximation

Too precise (risky):

"67.3% of UK adults support the legalisation of cannabis, according to a 2023 YouGov poll."

If this figure is wrong — and you are writing from memory, so it might well be — it undermines your credibility entirely.

Responsibly approximated:

"Polling data in recent years has consistently shown that a majority of the British public supports some form of cannabis law reform, though the extent of this support varies depending on how the question is framed."

This is accurate, honest, and impossible to fault — while still conveying the same substantive point.

Another example:

Too precise:

"The UK's prison population is 85,764."

Responsibly approximated:

"The UK has one of the highest per-capita prison populations in Western Europe, with approximately 80,000 people currently incarcerated."

Even if the exact number is slightly different, the substantive point — that the UK imprisons a relatively large proportion of its population — is well-established and defensible.

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Common Statistical Claims You Can Make Safely

Certain statistical claims are so well-established that you can reference them without fear of inaccuracy. Here are some examples:

Economic and Social

• The gap between the richest and poorest in the UK has widened over recent decades
• Life expectancy varies significantly by socioeconomic background
• Social mobility in the UK is lower than in many comparable countries
• The cost of housing, relative to income, has increased substantially over the past generation

Health

• Obesity rates in the UK have risen significantly over the past 30 years
• Mental health conditions among young people have increased, particularly since the rise of social media
• The NHS faces persistent funding and staffing pressures
• Smoking rates have declined substantially since the introduction of public health campaigns and regulation

Crime and Justice

• The UK's prison population has roughly doubled since the early 1990s
• Reoffending rates remain high, with a significant proportion of released prisoners returning to custody within two years
• Violent crime has generally decreased over the long term, despite public perception often suggesting otherwise
• A disproportionate number of prisoners have backgrounds involving poverty, care, or educational failure

Education