
What if the things you believe are best for the environment are actually making it worse? In this episode of Business For Good, Paul Shapiro sits down with Hannah Ritchie, data scientist at Our World in Data and author of Not the End of the World and Clearing the Air, to challenge some of the most widely held assumptions in sustainability. Hannah explains why locally produced food rarely has a meaningfully lower carbon footprint than imported alternatives, why organic farming often demands more land to produce the same amount of food, and why nuclear energy is one of the safest and most land-efficient power sources available. She walks through the data behind each of these claims and explains how well-intentioned environmental orthodoxies can actually slow progress toward the outcomes they aim to achieve. Things You Will Learn: Why buying local food does not significantly reduce your carbon footprint compared to choosing lower-impact foods from anywhere in the world. How the carbon footprint of keeping a dog compares to the average American's total annual emissions. Why nuclear energy has caused far fewer deaths per unit of electricity than fossil fuels over its entire history. Why cement production and air conditioning represent some of the most neglected opportunities for climate innovation. Tools & Frameworks Covered: Food Miles vs. Production Emissions: A data-driven framework showing that transportation accounts for roughly five percent of total food system emissions, while on-farm production and land use change dominate the footprint of most foods. Land Sparing vs. Land Sharing: Two competing approaches to balancing agricultural production with biodiversity conservation, where intensive farming on less land is weighed against lower-intensity farming spread across more land. Per-Unit Safety Comparison for Energy: A method of evaluating energy sources by calculating deaths per unit of electricity generated, which consistently shows nuclear and renewables are far safer than fossil fuels. #BusinessForGood <a class="dynamiclink" href= "https://w
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