Understanding Representation

Why raw numbers can be misleading

The Headline Trap

Imagine you read: "Group A accounts for 60% of all tribunal cases!"

This sounds alarming. But is it? That depends entirely on how many people are in Group A to begin with.

Misleading Stat

60%
"Group A is 60% of cases"

Missing Context

75%
"Group A is 75% of the workforce"

Key insight: If Group A makes up 75% of the workforce but only 60% of tribunal cases, they're actually underrepresented in tribunals โ€” the opposite of what the headline implies.

Visualizing the Difference

Let's make this concrete. Here's a workforce of 20 doctors โ€” 15 from Group A (teal) and 5 from Group B (red):

The Workforce (20 doctors total)

๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค
15
Group A (75%)
5
Group B (25%)

Now, let's say 4 doctors face tribunals. Here's Scenario 1 โ€” proportional representation:

Scenario 1: Proportional (what we'd expect by chance)

๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค
Highlighted = facing tribunal
3
Group A in tribunals (75%)
1
Group B in tribunals (25%)
1.0x
Both groups: Fair

Group A has more cases (3 vs 1), but that's expected โ€” there are more of them. Now here's Scenario 2:

Scenario 2: Group B Overrepresented

๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค
Highlighted = facing tribunal
2
Group A in tribunals (50%)
2
Group B in tribunals (50%)
0.67x
Group A: Under
2.0x
Group B: Over

Same number of cases (2 each), very different meaning. Group B has the same absolute count as Group A, but they're only 25% of the workforce โ€” so they're appearing at twice the expected rate.

The Random Person Test

Here's the clearest way to think about it:

If you picked one random person from each group, who is more likely to face a tribunal?

Using Scenario 2 numbers:

Random Person from Group A

๐Ÿ‘ค
2 / 15
= 13.3% chance of tribunal

Random Person from Group B

๐Ÿ‘ค
2 / 5
= 40% chance of tribunal
๐Ÿ‘ค
3x
more likely
โ†’
to face tribunal than
โ†’
๐Ÿ‘ค

A randomly selected person from Group B is 3 times more likely to face a tribunal than a randomly selected person from Group A โ€” even though they have the same number of tribunal cases.

The Formula

We calculate the representation ratio like this:

Representation Ratio = % of tribunal cases % of workforce
Ratio = 1.0 means proportional | >1.0 means overrepresented | <1.0 means underrepresented

Worked Example (Scenario 2)

Group A

Tribunal: 50% (2 of 4 cases)
Workforce: 75% (15 of 20 doctors)

Ratio = 50% รท 75% = 0.67x
Underrepresented

Group B

Tribunal: 50% (2 of 4 cases)
Workforce: 25% (5 of 20 doctors)

Ratio = 50% รท 25% = 2.0x
Overrepresented (2x)

Real World Application

In our MPTS data, we compare tribunal appearance rates against the GMC workforce baseline โ€” the actual ethnic composition of UK doctors.

For example:

This is why we show both views: The raw numbers tell you the scale. The representation ratio tells you if there's a disparity worth investigating.

Toggle "Show Over/Under Representation" on the dashboard to see both perspectives.

Important Caveats

Representation ratios reveal patterns, not causes. Overrepresentation could result from:

Correlation is not causation. This data identifies disparities that warrant further investigation โ€” it does not prove discrimination or exonerate any group.