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Explain when two cases are not comparable

Putting two case studies side by side feels fair until you notice they are measuring different things.

On this page
  1. What should you check before comparing?
  2. Worked example
  3. The mistake to watch for
  4. Check yourself
  5. Where this leads next

Two cases are comparable only when they measure the same thing on a fair scale. When they do not, say so, adjust where you can, and state what the comparison cannot show.

This lesson uses the verified notes from checking place, date and source and the linked chains from causes, impacts and responses.

What should you check before comparing?

Run four checks.

  1. Is it the same measure, such as deaths or homes flooded?
  2. Is it the same kind of event, such as a river flood and a coastal flood?
  3. Is the time frame similar?
  4. Is the population or area of similar size?

If a check fails, convert to a rate where possible and add a caveat. The evidence ledger has a field for exactly that note.

Worked example

All data invented. Case A is a coastal town with 20,000 people, where a storm surge killed 40. Case B is an inland city with 500,000 people, where a river flood killed 55.

Step 1, raw totals. B has more deaths (55 against 40). That seems to make B worse.

Step 2, same scale. Convert to deaths per 100,000.

  • A: 40 ÷ 20,000 = 0.002, and 0.002 × 100,000 = 200 per 100,000.
  • B: 55 ÷ 500,000 = 0.00011, and 0.00011 × 100,000 = 11 per 100,000.

Step 3, interpret. Per person, A was far harder hit. 200 ÷ 11 is about 18, so the rate in A was roughly 18 times that in B.

Step 4, add the caveats. A storm surge and a river flood are different hazards, the years differ, and one event in each place is a small sample. The comparison shows the burden on each community, not which hazard is more dangerous.

The mistake to watch for

The common slip is to compare raw totals and conclude without any caveat.

Mistaken line: “Case B was worse because 55 people died compared with 40.”

The sentence ignores that B has 25 times as many people.

The correction is to use the rate and name the limit: “Per 100,000 people, Case A was far higher at 200 against 11, although the hazards and years differ.”

Check yourself

1. Case C: 12 deaths among 6,000 people. Case D: 30 deaths among 150,000 people. Compare per 100,000.

Show answer

C: 12 ÷ 6,000 × 100,000 = 200. D: 30 ÷ 150,000 × 100,000 = 20. C is ten times D per person.

2. One case is a flood 2 m deep and another is a flood 0.5 m deep. Name a reason their impacts may not be comparable.

Show answer

The events differ in size. A 2 m flood damages homes and roads far more, so the difference in impact may come from the event, not the community.

3. Give one caveat to add to any two-case comparison.

Show answer

For example: “Each case is one event in one year, so this comparison cannot show a long-term pattern.”

Where this leads next

Fair comparison needs notes that can change when new facts arrive, so continue with updating a case without rewriting history. The statistics and distribution explorer will help with rates. If comparison questions cost you marks, online one-to-one Geography tuition can give you more practice.

Questions people ask

Can I ever compare two cases that differ a lot?

Yes, if you choose a fair basis and say what differs. Convert totals into rates, state the dates and event sizes, and note what the comparison cannot show. A comparison with a clear caveat is stronger than one that ignores the differences.

Why do raw totals mislead?

A total depends on how many people were there. A city and a village can have the same number of deaths but very different risk. A rate per 100,000 people puts them on the same scale.

What counts as a fair basis for comparison?

Check the same measure, the same kind of event, a similar time frame and a similar scale. If any of these differ, say so before you compare.

Updated:

Your next step

If comparison answers keep turning into two separate lists, a one-to-one teacher can help you pick a fair basis for comparing and say plainly where it breaks down.

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