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Research Methods · N-of-1 designs · continued

Designing a personal experiment that could change your mind — one year on posts 31–60

This is a continuation of a long topic, addressed by post number rather than by page. Start at post 1.

AK
a.kowalskiTL29 Apr 2026#31
b.solberg, post #4: Post #3 is right about the mechanism and I think understates the practical bit. Practical answer on Designing a personal experiment, since the theoretical one is upthread: do the simplest check first, write down the result, and only then decide whether the complicated explanation is needed. It usually is not. Go to post

Statistical analysis of n-of-1 data: comparing before versus after with a t-test or similar is one approach. Plotting the data visually is another. Both are valid.

It is one reading of the data and not the only reasonable one.

1 like in reply to #4 4mo
EP
e.piresTL212 Apr 2026#32

A single-person experiment can be genuinely informative if it has a pre-specified outcome, a defined period, and a plan written before the data arrives. Most accounts here have none of those.

Small point, but it is the one that usually catches people.

6 likes 4mo
SK
s.kimaniTL214 Apr 2026#33

Confirming post #30 from a second method, which matters more than confirming it from a second person.

Record everything that changed, not just the intervention. Personal experiments are confounded by life, and the confounders are only recoverable if they were written down.

22 likes 3mo
JM
j.mwangiTL4 Moderator17 Apr 2026#34

Before the thread moves on from Designing a personal experiment — what is the sample size behind the claim? I am not being difficult; I have seen the same figure quoted from an n of four and from an n of four hundred.

0 likes 3mo
GI
g.ibarraTL219 Apr 2026#35
t.karlsen, post #1: Designing a personal experiment that could change your mind — one year on — setting out what I have, and where I think it stops being reliable. Two things I would like separated before anyone answers on Designing a personal experiment, because they get bundled and then argued about as one thing. The first is descriptive: what has… Go to post

Adding a data point of agreement rather than a data point.

3 likes in reply to #1 3mo
SC
s.cardosoTL221 Apr 2026#36

Multiple outcomes measured without a primary one means something will move. Nominate the primary in advance and report the rest as secondary.

Not the answer, but possibly the question that gets there.

10 likes 3mo
BP
b.petrovTL224 Apr 2026 · edited#37

Post #34 is right about the mechanism and I think understates the practical bit.

Write down what you would accept as evidence that it did not work, before starting. That one sentence turns an anecdote into an experiment.

It is worth stating the boring hypothesis before the interesting one.

30 likes 3mo
JN
j.nwosuTL226 Apr 2026#38

Coming back to post #36, because the follow-up matters more than the original answer.

Measure the same thing the same way at the same time of day. Most of the noise in personal data is measurement protocol rather than biology.

0 likes 3mo
FA
f.abrahamsenTL2Member28 Apr 2026#39
s.radich, post #13: Confounding in personal experiments: other things change when you start a medication (season, exercise, diet, stress). Documenting those confounders helps you understand their contribution to the result. Go to post

Taking post #38 at face value and following it one step further.

What would change my mind on Designing a personal experiment is a second dataset collected by someone with no stake in the first. Until then I hold it loosely and I would rather say so than pretend to more.

0 likes in reply to #13 3mo
CH
ca.haddadTL21 May 2026#40
slow_titrator, post #22: Duration should be set by how long an effect would take to appear rather than by patience. Stopping early is the commonest reason a personal experiment answers nothing. That is what the documentation says. What happens in practice is usually close. Go to post

Post #36 and I disagree about the size of the effect, not about the direction.

The useful distinction on Designing a personal experiment is between what was measured and what was inferred from it. Both end up in the same sentence and only one of them has error bars.

1 like in reply to #22 3mo
GL
glossary_lineTL1Member3 May 2026#41
endo_fellow_rk, post #10: The most useful reply I ever got about Designing a personal experiment was a request to state my units. It sounds like pedantry and it has saved me twice. Go to post

I had written a reply contradicting post #37 and deleted it. Here is what survived.

Stopping rules: decide in advance when you will stop measuring (after a defined duration, after a defined number of measurements, or after a defined condition is met). Not deciding in advance means stopping when the result satisfies you, which is bias.

One more caveat and then I will stop qualifying: the sample selected itself.

3 likes in reply to #10 3mo
CV
ca.vermeulenTL25 May 2026#42

A photograph or a device reading is a harder record than a recollection, and where one is available it should be the record.

Take it as a starting point and not as a specification.

0 likes 3mo
DW
diluent_watchTL2Member8 May 2026 · edited#43

The interesting personal experiments are the ones where the answer was no. They are also the ones least likely to be written up.

32 likes 3mo
ZV
z.vogelTL210 May 2026#44

Since Designing a personal experiment keeps coming up, it should probably be a maintained page rather than a recurring thread. I am happy to draft it if someone with more direct experience will review it.

16 likes 3mo
Z
ZieglerTL3Regular12 May 2026#45
s.bergstrom, post #6: Picking up post #3: that is the part I would want checked first. Record everything that changed, not just the intervention. Personal experiments are confounded by life, and the confounders are only recoverable if they were written down. Go to post

Coming back to post #41, because the follow-up matters more than the original answer.

Nothing in a personal experiment is medical advice to anyone including yourself, and several people here have found that a prescriber will happily discuss a well-documented one.

One case, stated as one case.

1 like in reply to #6 3mo
MD
m.dumitruTL214 May 2026#46
glossary_line, post #41: I had written a reply contradicting post #37 and deleted it. Here is what survived. Stopping rules: decide in advance when you will stop measuring (after a defined duration, after a defined number of measurements, or after a defined condition is met). Not deciding in advance means stopping when the result satisfies you, which is bias.… Go to post

Seconded. It reads as careful rather than confident, which is the right register.

0 likes in reply to #41 2mo
RS
r.scholtenTL2Member17 May 2026#47

Checked the Designing a personal experiment claim against the primary source this morning. It survives, with a narrower scope than the version quoted here. Posting the narrower scope.

24 likes 2mo
GV
g.verhoevenTL219 May 2026#48

Reporting rather than recommending, on Designing a personal experiment. What happened is above. Whether it should have is a different question and not one I am qualified to answer.

11 likes 2mo
NG
np_gilmoreTL3Nurse practitioner21 May 2026#49

An n of one tells you about one person, which is the person you are most interested in. That is the whole value and it is not nothing.

0 likes 2mo
NS
no.silvaTL223 May 2026 · edited#50

Post #49 answers the question as asked. The question underneath it is different.

A washout period between conditions is what stops one bleeding into the next, and its length should be set by the half-life rather than by convenience.

33 likes 2mo
ZO
z.onwukaTL225 May 2026#51
z.vogel, post #44: Since Designing a personal experiment keeps coming up, it should probably be a maintained page rather than a recurring thread. I am happy to draft it if someone with more direct experience will review it. Go to post

Reporting the whole series rather than the interesting segment is the discipline that makes personal data worth reading. Selective reporting is the default without effort.

It is the sort of thing that seems obvious in retrospect and was not at the time.

7 likes in reply to #44 2mo
VS
v.sjobergTL228 May 2026#52

Helpful, and short, which on this subject is harder than long.

18 likes 2mo
JB
j.baptistaTL230 May 2026 · edited#53

The arithmetic in post #51 is right; the assumption feeding it is the part to check.

A definition problem is doing most of the work in this Designing a personal experiment discussion. Once the term is pinned down I suspect the disagreement mostly goes away and what is left is small.

0 likes 2mo
MR
m.rasmussenTL21 Jun 2026#54
g.ibarra, post #35: Adding a data point of agreement rather than a data point. Go to post

Statistical analysis of n-of-1 data: comparing before versus after with a t-test or similar is one approach. Plotting the data visually is another. Both are valid.

0 likes in reply to #35 2mo
MA
m.achebeTL23 Jun 2026#55
j.baptista, post #53: The arithmetic in post #51 is right; the assumption feeding it is the part to check. A definition problem is doing most of the work in this Designing a personal experiment discussion. Once the term is pinned down I suspect the disagreement mostly goes away and what is left is small. Go to post

Post #53 is the version of this I will quote in future. One addition.

Regression to the mean explains a great many personal experiments. People start when things are at their worst, and things at their worst tend to improve.

One of those cases where knowing the mechanism does not help the decision.

4 likes in reply to #53 2mo
CD
c.dahlbergTL25 Jun 2026#56

Where I part company with post #54, and it is a narrow parting.

I would be cautious about generalising from the Designing a personal experiment example above. It is a good example. It is one example.

12 likes 2mo
TA
t.abubakarTL27 Jun 2026#57

Duration should be set by how long an effect would take to appear rather than by patience. Stopping early is the commonest reason a personal experiment answers nothing.

25 likes 2mo
VK
v.krastevTL29 Jun 2026#58

Designing a personal experiment that could actually change your mind: that is the standard for an n-of-1 design. An experiment designed so that any result confirms what you already believed has not changed anything.

Written quickly, so the reasoning may be tighter than the wording.

0 likes 2mo
FE
footnote_entryTL3Regular12 Jun 2026#59
m.coelho, post #5: The interesting personal experiments are the ones where the answer was no. They are also the ones least likely to be written up. I would not lead a decision with this, but I would not ignore it either. Go to post

Useful. I had the fact and not the reason, which turns out to be the important half.

1 like in reply to #5 2mo
HC
h.castellanosTL214 Jun 2026#60