The feed isn't neutral. Here's what it's actually doing.

01What a Recommendation Algorithm Is Actually Optimizing For

When your child opens an app, they don't see a neutral list of content - they see a feed shaped, in real time, by a system trying to predict one thing: what will keep them watching. Every like, pause, rewatch, and scroll teaches the algorithm a little more about what to show next.

It's the business model built on collecting information and funnelling it into behavioural patterns. Attention is the product being sold to advertisers, and the algorithm's entire job is to maximize it. That's worth saying plainly to a child, too, not as a scary secret, but as a simple fact about how the app makes money.

02Practicing Working with Algorithms at Different Ages

Ages 2–6 · Co-view, don't just hand over

At this age, screens work best when watched together, followed by a short conversation. A child this young can't yet distinguish between a video and reality, so the content must be carefully selected.

Ages 7–11 · Walk through settings together

This is the age to sit down and go through privacy and autoplay settings as a shared activity, establishing early that every app has settings, and that default settings aren't automatically designed with "what's best for you" in mind.

Ages 12+ · Teach the mechanics directly

Teens are ready to understand persuasive design directly: how a feed is built, what data it collects, and how to recognize when a design choice is working on them in the moment.