Sure, algorithm feeds are sticky, and they can pull focus in the moment. But my opponent's claim goes further: that they're destroying Gen Z's attention span. That requires a causal proof. Attention isn't one fixed reservoir. It's context dependent. Someone who bounces between short videos can still focus deeply on a game or a project. We have correlation, not causation. Other factors like sleep, stress, and schooling matter. Without controlled evidence isolating algorithms, the destruction claim fails. So the other side hasn't met its burden.

Fair point that feeds are engineered to hold us. But engineering intent isn't proof of destruction. My opponent's logic runs: algorithms maximize short rewards, short rewards weaken focus, therefore Gen Z's attention is destroyed. That skips a step. It assumes a single, fixed attention capacity that can only be worn down. If that were true, the same Gen Z couldn't sustain focus on a game or a long project. They can. So at most we have a change in context, not destruction. The stronger claim still lacks evidence.

Imagine a commuter who watches short clips for four hours but still reads a chapter at night. Hours spent don't prove capacity lost. My opponent's Gallup figure shows exposure, not destruction. And A B testing shows companies optimize engagement, not that Gen Z's baseline attention is permanently reduced. The syllogism still needs a premise: short-form use causes lasting inability to focus. We have correlation and design intent, not that premise. If attention were destroyed, deep focus tasks across the same cohort would vanish. They haven't. So the claim remains unproven.