Dr Jared Cooney Horvath

And first, I would like to say, well, here, step one, triangulation of correlation.

The argument correlation isn't causation was really a salve against single data sets, to be very wary of one data set.

But if you see the same correlation across hundreds of countries, across decades, across subjects, across age levels, that saying no longer means the same thing.

So triangulation of correlation, that's exactly what was going on with tech.

It didn't matter where we looked, we were seeing that same pattern.

So the next step then is you do convergence of evidence.

Now you do research.

You get into the lab and you say, OK, what's actually going on here?

And that's where we learned, yeah, human biology does not align well with digital tech.

How we read, we don't read on a screen the same way we read on paper.

How we think when we write, handwriting is very different than typing.

And all of the digital stuff was lesser than all of the analog stuff we were looking at.

So now we've got correlation data, we've got hard data, and then you get mechanisms.

That's where I come in as a neuroscientist and I say, here's what's going on in the brain.

Here's why this explains all the patterns you're seeing.

So the data is there.

So why then did we ever go down this path?

And that's why I say, I always tell people, look, I can show you about 100 graphs showing tech harms learning.

And people say, that's correlation.

Show me any, show me 10 correlations that show benefit.