Public debates driven by incomplete scientific data: the cases of evolution theory, global warming and H1N1 pandemic influenza
Serge Galam

TL;DR
This paper analyzes how public debates on scientific issues like evolution, climate change, and pandemics are influenced by inflexible advocates and incomplete data, revealing complex opinion dynamics.
Contribution
It introduces a Galam model-based analysis showing the pivotal role of inflexible agents in shaping public opinion amidst scientific uncertainty.
Findings
Inflexible agents significantly influence debate outcomes.
Overstating claims can be more effective than balanced arguments.
The model highlights the importance of agent inflexibility over data strength.
Abstract
Public debates driven by incomplete scientific data where nobody can claim absolute certainty, due to current state of scientific knowledge, are studied. The cases of evolution theory, global warming and H1N1 pandemic influenza are investigated. The first two are of controversial impact while the third is more neutral and resolved. To adopt a cautious balanced attitude based on clear but inconclusive data appears to be a lose-out strategy. In contrast overstating arguments with wrong claims which cannot be scientifically refuted appear to be necessary but not sufficient to eventually win a public debate. The underlying key mechanism of these puzzling and unfortunate conclusions are identified using the Galam sequential probabilistic model of opinion dynamics. It reveals that the existence of inflexible agents and their respective proportions are the instrumental parameters to determine…
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