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Timothy Wienecke, MA, LPC, LAC's avatar

Data collection can always tell a story, which is why it's important to have people being clear and careful about what their data tells us and what it doesn't. Thank you for being clear and careful in telling us a more complete story for young men right now.

There are a number of things in these numbers that are interesting, but the one that I see impacting my young clients the most is the lack of membership in groups. So many of my young guys find a massive improvement when they find a place and activity to connect in. The fact that more than 1/3 of young guys don't have any group affiliation is telling.

Do you all have numbers on how that's changed over the years?

Dr Rupert Gill's avatar

I really like where this is trying to go, especially the move from broad claims about technology to specific questions about when it helps, when it hurts, and for whom. As a behavioral scientist, that drive towards specificity is one of our core techniques to move the needle on behavior. If your target is too general, you're less likely to make a meaningful assessment and find a mechanism to drive change.

I found it harder to assess the layers - there's a lot of important concepts and dimensions of thriving there but it's hard to work out exactly what each layer is aiming to capture and why there are five tiers. I found myself searching for an overarching narrative or rationale.

I wondered if it would be easier to work through if they were organised around a few key questions?

First, what are the main aspects of young men’s lives that we care about - relationships, health, work, learning, agency, belonging, and so on?

Second, what personal capacities and external conditions make it easier or harder to do well in those areas - things like judgment, confidence, supportive relationships, money, institutions, or opportunities?

Third, what kinds of experiences help build or weaken those capacities over time - for example responsibility, feedback, friendship, or trying and sometimes failing at things?

And then you could ask how particular technologies affect any of these: the opportunities people have, the experiences they go through, the capacities they build, or how well they are doing.

Measurement could then sit across the whole framework, asking what evidence would tell us where someone stands on each of these dimensions.

There are different ways you could cut this up - and probably no perfect way - but i'd love to see an overarching rationale to make it easier to grasp and deploy.

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