Resource allocation models are supposed to help public health systems distribute scarce resources more intelligently.
They promise better targeting, more efficient deployment, and stronger impact under constraint.

But what if the model is optimizing inside a system whose deepest constraints should never have been treated as fixed?

In this episode, we break down why resource allocation models often fail in practice, how optimization can normalize structural scarcity, and why better public health modeling has to question the system—not just distribute within it.

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