Michael Zhang, PhD (@michael zhang, phd) on LinkedIn
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Michael Zhang, PhD is a creator on LinkedIn, publishing for People interested in gambling addiction recovery and critiques of responsible gambling policies (likely recovery advocates, policy professionals or affected individuals). Profile last checked 2026-06-29.
Observed facts (from the public profile):
| Field | Value |
|---|---|
| Platform | |
| Handle | @michael zhang, phd |
| Indexed under | Finance · Crypto |
Profile bio
Responsible gambling and recovery get treated as the same thing. They aren't. They're built around fundamentally different questions. Responsible gambling asks: "How can gambling continue safely?" Recovery asks: "How can gambling become unnecessary?" Responsible gambling focuses on reducing harm whi
What this creator posts about, and who reads it (AI-inferred)
Recurring topics: Responsible gambling limitations, Gambling recovery vs. harm reduction, Systemic issues in gambling safety models
Audience: People interested in gambling addiction recovery and critiques of responsible gambling policies (likely recovery advocates, policy professionals or affected individuals)
Provenance: inferred by AI from public content, not stated by the creator — confidence 0.40 · read from 2 recent posts · updated 76 days ago.
Audience read from this creator’s own recent posts, not from platform-declared categories. It is our reading, and it can be wrong.
Recent content samples (what the inference above was drawn from)
We tell people to set limits and stay in control inside systems engineered to make that impossible. That's the core problem with responsible gambling. The model assumes people stay rational and consistent. But once…
Where this creator sits among comparable accounts
Compared with the 961 accounts in the same group (linkedin · nano · gaming):
| Dimension | Percentile in group |
|---|---|
| Overall | 94th |
| Authenticity | 50th |
| Focus & activity | 94th |
This is a position, not a verdict. A percentile says where this account falls among comparable accounts on signals we can measure — it does not say this creator is a better fit for your campaign. We ran a blind benchmark and measured no reliable advantage in selection quality, and do not claim one.
See the Creator Index Report for how this index is structured.
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Machine-readable representations
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AI retrieval activity
What AI systems have actually done with this page. The two kinds are counted separately: being indexed is not the same as being used.
| Kind | Requests | What it means |
|---|---|---|
| Indexing crawlers | 3 | Bulk indexing · ClaudeBot, Meta |
| User-triggered retrievals | 0 | none recorded yet |
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