When Algorithms Reinforce the First Question

Why do so many people investigating the same topic end up reaching similar conclusions? Is it because the evidence points in one direction? Or is it because recommendation algorithms reinforce the first question they asked? In this episode, I explore how social media algorithms shape the information we encounter—not by deciding what's true or false - by giving you more of what you're interested in. Using examples from AI-generated music, data centers, and water consumption, I examine how the first article, video, or headline we encounter can quietly frame the rest of our investigation. The challenge isn't misinformation. It's that we become experts within the original frame of a problem without stepping outside it to ask a different question that may lead somewhere entirely different. Sometimes the most important discovery isn't finding a better answer - it's realizing you started with asking the wrong question.