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Week 9 Lab: Why You Felt Better Anyway

3 May 20276 min readmedium risk

This week

Almost everything appears to work, because almost everybody starts on their worst day.

Before you run this

When to stop
Stop and say so if reading your own low days back leaves you worse than when you started, or if you find yourself returning to them outside the lab. You finish the hour on the previous year's record, and the sheet you have already written goes home with you unread.
What this is not
This is not an exercise in ranking your bad days or in accounting for them. Six numbers leave your sheet and nothing else does: they carry no name, no units and no dates, and you are never asked what you were measuring in week 5 or what happened on the day. We are looking at what tends to follow an unusual measurement, never at why you had one.
If this one isn't for you
Run the same six steps on the anonymised class record from a previous year, which is a set of week 5 records with the names taken off. The pairs come out of it exactly as they come out of yours, and nothing of your own is opened, written down or put on the board.

What you bring to the lab

The lesson below is how you get there. The lab is where you show it.

  • you bring your week 5 record as one number a day, in date order, with every day marked A, B or C for its phase
  • your sheet carries three pairs of days, low, high and control, and the two distances you worked out for each pair
  • you hand in one sentence saying why an intervention begun on your lowest day would have looked successful, and the sentence does not contain the words "regression to the mean"

Bring your week 5 record. Today you measure the improvement you get for doing nothing.

Unusual measurements tend to be followed by ordinary ones, so the day after your worst day was always going to be better, whatever you did about it. That is regression to the mean. The lecture is where it gets argued; this hour is where you find out how large it is in your own numbers, which is the version you will need for the report.

What your record has to look like

Week 5 is the only run of consecutive daily numbers you own: one measure, one value a day, across a phase where you measured the thing as it was, a phase where you took something away, and a phase where you put it back. Nothing else in the course will do. Week 1 is a single day, week 3 is a single night, week 4 is three days and so has no middle worth the name, and week 6 alternates its two conditions from one day to the next by design, so two days running there differ by more than chance.

You need eight days or more, and you need to be able to find three pairs of consecutive days in it that each sit inside one phase. If your record is shorter than that, or if the gaps fall in the wrong places, take the previous year’s anonymised record instead and run the same six steps on it. That is the same exercise and it costs you nothing.

In the lab, in order

  1. Lay the record out. Your numbers in date order, one row a day, every row marked A, B or C for its phase. Leave a gap where a day is missing rather than filling it in.
  2. Find your middle day. Copy the numbers, put them in order of size, take the one in the middle. If you have an even number of days, take the lower of the two.
  3. Find your range. Your highest day minus your lowest day. One number, and everything below is a fraction of it.
  4. Work out a distance. A day’s distance is how far its number sits from your middle day, ignoring which side it falls on, divided by your range. Every distance comes out between 0 and 1. Your lowest day’s distance and your highest day’s distance add to exactly 1, which is how you check the arithmetic before you go on.
  5. Take three pairs, each of them two consecutive days inside a single phase. The low pair is your lowest day and the day straight after it. The high pair is your highest day and the day straight after it. The control pair is the earliest day whose distance is under a quarter, with the day straight after it, and it uses none of the four days already spoken for. If an extreme day is the last day of its phase, use your next lowest or next highest day that is not.
  6. Six distances on the board. The board has three columns, low, high and control, and you add your pair to each of them. No name, no units and no dates go up with them.

Reading the board

Each column holds pairs of the same shape: how far a day sat from that person’s middle, and how far the next day sat. That is Galton’s two columns with days in place of families, which is why the lab is built this way and not some other way.

The first distance in a low pair or a high pair is large, because that is how the day was chosen. The second one is not chosen at all, and the question the board answers is where it lands. If it lands down among the control distances, then a day picked for being extreme is followed by a day that is not, and an intervention starting on the extreme day would have been credited with the whole of that move.

If the second distances in the low and high columns are not visibly smaller than the first, say so out loud. The published evidence is clear about which way this goes, and one room’s fortnight in March is not the published evidence. A board that refuses to show the effect is the most interesting hour we could have, and it is reported as a result rather than quietly re-run.

What the board cannot tell you

It cannot tell you how much of your own week 5 result was this. Every person on the board is measuring something different on a scale of their own, so the distances are comparable in shape and not in units, and no total from them means anything. Nor can eight or ten days each settle how large the effect is in general: the blood pressure figures below rest on five pooled studies read at long-term follow-up, and the class board rests on one fortnight in March.

There is a second reading of the low column, and week 8 is why it has to be named. A day is unusual because several things went wrong at once, and those things, a deadline and a cold and an argument, mostly end. Part of what the board shows is those things ending. That is not a rival explanation to what you are looking at, it is the same one told from underneath, and it is the reason there is no mechanism to go hunting for.

What you take to the report

Two things, and both are small. The first is the day your removal phase began, and its distance, which tells you where in your own record the experiment started. The second is the sentence, written before you leave the room: why an intervention begun on your lowest day would have looked successful, said without using the words regression to the mean. If you can only say it with the phrase, you have the label and not the idea, and the label is worth no marks at all.

Evidence on file

5 pooled studies blinding not possible

Blood pressure regressed in both directions. Among people whose baseline 24-hour systolic pressure was 150 mmHg or above, the mean was 156 at baseline and 141 at follow-up; among those under 120, it was 113 and then 119. The authors report regression in the control groups as well as the treated ones, which is what stops the treatment explaining it.

Moore MN, Atkins ER, Salam A et al., Regression to the mean of repeated ambulatory blood pressure monitoring in five studies, Journal of Hypertension 2019;37(1):24-29. The abstract reports five pooled studies and no participant total, so the sample size here counts studies rather than people.
History, not measured

Galton put numbers to the pattern in 1886 by the move this lab repeats. He grouped 205 parent couples by their average height, read off the median height of their 928 adult children, and found each group's children nearer the general average of 68.25 inches than their parents were, in all nine rows of the table that carry a median.

Francis Galton, Regression towards Mediocrity in Hereditary Stature, Journal of the Anthropological Institute of Great Britain and Ireland, volume 15 (1886), pages 246 to 263

Teaching team