Reply to comment on ‘Global human population has surpassed Earth’s sustainable carrying capacity’

Haubrock (2026 Environ. Res. Lett. ) criticizes Bradshaw et al (2026 Environ. Res. Lett. 21 064023), but relies on strawman arguments, misrepresents demographic transition theory, and downplays environmental contingencies. We respond point‐by‐point to seven claims concerning (i) the interpretation of the post‐1960 decline in r as evidence of exceeded carrying capacity; (ii) use of phenomenological logistic models in a non‐stationary human system; (iii) global N as a proxy for density feedback; (iv) shared‐trend confounding in environmental correlations; (v) normative elements of ‘sustainable carrying capacity’; (vi) alleged population‐centred framing; and (vii) whether the title overstates the evidence (Haubrock 2026 Environ. Res. Lett. ). We show that demographic transition theory is primarily descriptive and does not require a declining growth rate: whether growth slows depends on the timing and magnitude of fertility–mortality gaps, which vary historically and culturally. Indeed, fertility transitions can occur at modest incomes under strong institutional and ideational influences. Haubrock’s argument here rests on an uncritical acceptance of demographic transition theory, false dichotomies between socio-economic and ecological mechanisms, and an overly restrictive interpretation of what phenomenological models infer from abundance time series. Our central result remains an abrupt, persistent shift from facilitation to strong negative r – N feedback beginning ∼1961–1962, consistent with emergent ensemble density feedback mediated by socio‐economic and environmental constraints. We clarify that subnational density inference is infeasible due to inadequate fine‐scale population data in many countries, that our environmental correlations are corroborative rather than causal and should be interpreted with appropriate time‐series cautions, and that population drivers are underrepresented in the mainstream institutions/technology‐centred literature despite strong evidence of population effects identified in IPAT/STIRPAT analyses.