Pure mediation means that the effect of treatment A on outcome Y is transmitted only through the mediator M.
Smoking 🚬 might cause COPD 🫁 only by increasing TAR ⚫ levels in the lungs.


Most conventional causal questions explore two possible worlds, with a treatment assigned to A=0 or A=1.
Mediation involves each combination of the original treatment (A=0, A=1) with the mediator levels (M=0, M=1).

Most conventional causal questions explore two possible worlds, with a treatment assigned to A=0 or A=1.
Mediation involves each combination of the original treatment (A=0, A=1) with the mediator levels (M=0, M=1).
Controlling both the treatment and the mediator may feel unnatural:
\(CDE(m) = Y | [do(A=1),do(m)] - Y|[do(A=0),do(m)]\)

Most conventional causal questions explore two possible worlds, with a treatment assigned to A=0 or A=1.
Mediation involves each combination of the original treatment (A=0, A=1) with the mediator levels (M=0, M=1).
Controlling both the treatment and the mediator may feel unnatural:
\(CDE(m) = Y | [do(A=1),do(m)] - Y|[do(A=0),do(m)]\)

\(CDE(m) = Y | [do(A=1),do(m)] - Y|[do(A=0),do(m)]\)
Mediation moves us closer to “how nature works” by making causal paths explicit, our narrative becomes more aligned with domain expertise. “Smoking causes COPD” is less informative than “Smoking causes COPD by increasing TAR in the lungs”.
Pure mediation sets clear boundaries on which causal paths are allowed.

\(CDE(m) = Y | [do(A=1),do(m)] - Y|[do(A=0),do(m)]\)
Assuming pure mediation:
\(CDE(m) = Y |do(m) - Y|do(m) = 0\)

\(CDE(m) = Y | [do(A=1),do(m)] - Y|[do(A=0),do(m)]\)
Assuming Pure Mediation:
\(CDE(M=0) = Y |do(M=0) - Y|do(M=0) = 0\)
Under pure mediation, a controlled direct effect of zero means that all harm from cigarettes is blocked once we fix TAR.
If a small creature cleaned all the TAR from the lungs, smoking would not cause COPD.

\(CDE(m) = Y | [do(A=1),do(m)] - Y|[do(A=0),do(m)]\)
Assuming Pure Mediation:
\(CDE(M=1) = Y |do(M=1) - Y|do(M=1) = 0\)
Under pure mediation, a controlled direct effect of zero means that all harm from cigarettes is blocked once we fix TAR.
If a small creature cleaned all the TAR from the lungs, smoking would not cause COPD.
If a small creature added TAR to the lungs, avoiding smoking would not prevent COPD.

\(NDE = Y|[do(A=1),do(M|do(A=0))] - Y|[do(A=0),do(M|do(A=0))]\)

\(NDE = Y|[do(M|do(A=0))] - Y|[do(M|do(A=0))] = 0\)
Under pure mediation, the NDE blocks all the harm caused by cigarettes by setting the mediator to the value it would take under no smoking, while comparing smoking versus non-smoking with this manipulated M.
Under pure mediation, once we know the value of the mediator M, the original treatment A no longer matters. The natural direct effect may feel abstract, but once TAR (M) is fixed, it does not matter whether the patient actually smoked.


\(NIE = Y|[do(A=0),do(M|do(A=1))] - Y|[do(A=0),do(M|do(A=0))]\)


\(NIE = Y|[do(M|do(A=1))] - Y|[do(M|do(A=0))]\)
Under pure mediation, the NIE captures all the harm caused by cigarettes by manipulating TAR (the mediator) to the values it would take under smoking versus not smoking.
Again, the original treatment assignment A becomes irrelevant.
We can now explore how the components of the Natural Indirect Effect:
We can now explore how the components of the Natural Indirect Effect:
\[Y|[do(M|do(A=0))] = Y|do(A=0)\]

We can now explore how the components of the Natural Indirect Effect:
\[Y|[do(M|do(A=1))] = Y|do(A=1)\]



\(NIE = Y|do(A=1) - Y|do(A=0) = TE\)
Finally, we see that the Natural Indirect Effect equals the Total Effect, because under pure mediation the entire effect of the treatment on the outcome is transmitted through the mediator.
The images in this presentation are highly inspired by the wonderful French TV Series: “Il était une fois… la Vie”.
Whenever I think about unintuitive mediators in healthcare, I remember how this educational animated series helped me understand complex concepts.