Research Over Rhetoric

The public conversation about technology and kids has a volume problem. On one side, panic. On the other, dismissal. In between, very little patience for the slower work of asking what the evidence actually shows, where it’s weak, and which questions are still genuinely unresolved.

That middle ground is where this site lives.

The Questions That Drive This

I’ve been a technologist for 25 years — I founded a virtual reality company that I still run today. I love building with technology. But I’ve also learned to be skeptical of its benefits until the evidence is in. Technology is irreversible. That’s not optimism — it’s why understanding it matters more than fearing it.

When it comes to kids and learning, I keep running into questions that deserve better answers than they’re getting:

• If AI improves learning in some areas, what does it weaken in others?
• Is social media obviously harmful, or are the average effects smaller and more context-dependent than people assume?
• When people talk about “screen time,” are they describing a useful category, or a vague proxy that hides more than it reveals?
• Which skills matter more, not less, in a world where cognition can be outsourced?

These aren’t academic. They affect how parents make decisions, how teachers structure classrooms, how schools adopt tools, and how policymakers frame problems.

The Distinction Problem

I don’t think this topic needs more hot takes. It needs clearer distinctions.

A lot of bad thinking comes from collapsing unlike things into the same bucket. “Technology” can mean social media, messaging, search, video, AI tutors, autocomplete, educational software, or a phone in a pocket during algebra class. Those are not the same experience, and they don’t produce the same outcomes.

The same problem shows up on the human side. “Kids” can mean a seven-year-old, a lonely fifteen-year-old, a high-achieving student, or a teenager already struggling with anxiety. Average effects matter, but variation matters too — and any honest account has to hold both.

What This Site Does Differently

Alongside the blog, I’m building a research library — a curated, annotated collection of the key studies and reviews on screens, social media, AI, and cognition. The evidence behind these questions should be easy to inspect directly, not filtered through summaries and vibes.

Whether I’m writing about a single study or a broader debate, the approach stays the same:

• Separate strong findings from weak ones
• Distinguish average effects from individual differences
• Pay attention to mechanisms, not just headlines
• Treat uncertainty as information, not a failure

The standard is simple: research over rhetoric, clarity over posture.

That doesn’t mean pretending the evidence speaks with one voice. It usually doesn’t. It means being explicit about what a study can tell us, what it cannot, and where interpretation starts doing more work than the data.

If this site is useful, it’ll be because it helps people ask better questions before they rush to confident answers.