New Book Power Knowledge and COVID-19 Challenges Rigid Global Follow the Science Orthodoxy

Pieter Streicher and Alex Broadbent explore how scientific orthodoxy during COVID-19 sidelined dissent and led to avoidable global harm.

By: AXL Media

Published: Apr 14, 2026, 7:32 AM EDT

Source: Information for this report was sourced from CapeTalk

New Book Power Knowledge and COVID-19 Challenges Rigid Global Follow the Science Orthodoxy - article image
New Book Power Knowledge and COVID-19 Challenges Rigid Global Follow the Science Orthodoxy - article image

Deconstructing the Pandemic Scientific Narrative

A provocative new book titled Power Knowledge and COVID-19: The Making of a Scientific Orthodoxy is reigniting a global conversation about the intersection of science and governance. Authors Pieter Streicher and philosopher Alex Broadbent contend that during the height of the pandemic, a dominant scientific narrative emerged that marginalized alternative expert views. This orthodoxy, they argue, shaped policy in ways that were often inflexible and detached from the diverse realities of different nations, potentially leading to significant and avoidable societal damage.

The Critique of Blanket Global Recommendations

The authors specifically target the popular mandate to follow the science, questioning which scientific voices were granted the authority to speak for the global community. Streicher points to the heavy influence of mathematical modeling from institutions like Imperial College London, which heavily informed World Health Organisation guidelines. According to the book, this resulted in blanket lockdown and masking recommendations that failed to account for the unique vulnerabilities of poorer nations, such as South Africa's informal settlements and fragile economic structures.

Evaluating the Efficacy of Lockdown Measures

While Streicher and Broadbent acknowledge that lockdowns had a role in slowing viral transmission, they argue that their overall benefits were significantly overstated by early models. These projections, largely based on data from China and Europe, suggested that restrictive measures could near universally reverse infection trends. The authors suggest that if alternative modeling approaches had been prioritized sooner, policymakers might have realized that the magnitude of these effects was lower than initially predicted, allowing for more balanced public health strategies.

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