Complotisme : “On conteste des vérités scientifiques de plus en plus évidentes” (Mac Lesggy)

Marc Lesggy’s core message is that science is being contested more aggressively than before, and that the right response is not to trust isolated opinions or online narratives, but to rely on transparent, contradictory, peer-reviewed evidence. He frames this as a cultural problem that has worsened with social media and, in his view, was accelerated by the COVID era. He repeatedly returns to the idea that people now reject or relativize findings even when they come from large meta-analyses or long-tested scientific consensus. He begins with climate attribution, explaining that every weather event sits inside a climate context, and that modern tools can estimate whether an episode is simply natural variability or is amplified by global warming. …

1. Lesggy’s central thesis is that public distrust of science has increased, especially through social media and conspiracy culture.
2. He argues that peer-reviewed meta-analyses should outweigh individual opinions when assessing claims like organic food’s health value.
3. He presents modern climate attribution as a tool that can distinguish natural variability from human-amplified warming.
4. He treats GMOs as a case where France is unusually resistant despite long-running evidence and global usage.
5. He uses simple examples—cats, chili peppers, coffee—to show how myths and correlation errors distort public understanding.

• He treats a 2025 meta-analysis as essentially dispositive on organic food, but the transcript does not discuss study limitations, endpoints, or heterogeneity.
• His estimate that cats kill 60–100 million birds in France is asserted confidently, but the methodology is not shown.
• He says no science is independent because all researchers have funders and biases; that is directionally fair as a caution, but it can understate the role of institutional safeguards and disclosure rules.
• His claim that GMOs have had no problems for more than 30 years is broad and does not engage with potential ecological, market, or regulatory objections.
• On coffee and mental health, he uses one study example to illustrate correlation vs causation, but does not fully address whether some associations may still be meaningful in specific populations.