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Critics Of Counterfactual Movement In Epidemiology Say “Pragmatic Pluralism” Is Better Approach To Causal
Inference

“We wish to forestall the emergence of a ‘hardline’ methodological school within epidemiology, one which we feel would damage the discipline if it became the dominant paradigm.” This is how authors Jan Vandenbroucke, Alex Broadbent, and Neil Pearce express their reason for writing a critique of the counterfactual movement in an advance access article of the International Journal of Epidemiology in January.

                  Non-trivial Damage

And the damage the authors foresee is not trivial since the restricted potential outcomes approach (RPOA) they criticize limits, in their view, the questions that epidemiologists can ask, the designs they can create, the evidence they consider acceptable for determining causality, and consequently the evidence acceptable for scientific and public health decision making.

Concerns

According to the authors, the counterfactual movement is becoming dominant in theoretical epidemiology but it takes a too narrow view of causality and fails to take into account the contributions that can be made from diverse forms of evidence. Interestingly, the authors differentiate “practical” causal inference from a presumably more theoretical one which underlies the counterfactual approach. They describe the historical practice of epidemiology as “incredibly rich and successful” and believe that the principles that are associated with the counterfactual or RPOA approach “bear little resemblance” to the public health problem solving that epidemiology has contributed to so usefully.

Formula 1 Cars

To make their point more colorfully, the authors employ the metaphor of Formula 1 cars.

“Formula 1 cars may be the best in the idealized environment of a racetrack, but to say that they are the ‘best cars’ would be misleading, since they are useless in almost every other situation.”

Problems With RPOA


The criticisms of the RPOA approach for both the theory and practice of causal inference in epidemiology are described in detail in the paper. In summary, they are:
 

1. Restricting epidemiology to study feasible human interventions misses the chance to study those which are not humanly feasible such as heat waves or being born with two x chromosomes.


2. States such as “obesity” cannot be studied as causes.


3. Claiming that causation is well defined only when interventions are well specified is problematic because the term “well-specified intervention” itself is in need of definition.


4. RPOA ranks evidence in a way that ignores the context-dependence of evidence.


5. RPOA does not make provisions for ruling out alternative hypotheses.


6. It does not help in the use of different kinds of evidence to arrive at one verdict about causality.

Pragmatic Pluralism

In place of RPOA, Vandenbroucke et al. argue for a pragmatic pluralism which is less tied to a single concept of causality. They state “…it is very plausible that we think about causation in more than one way.”

They lay out a blueprint for teaching epidemiology and what students should learn, namely:

1) that causal inference remains a judgment based on intergration of diverse types of evidence,

2) to use diverse strategies to assess causality by ruling out alternatives

3) about the elements of all types of epidemiological study designs, inclusive of those types of design that do not match the ideal counterfactual situation

4) to reflect critically on whether potential biases matter ■


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