About the Silent Majority 420
I’m a business owner and independent researcher in my 40s, with two decades of experience spotting market inefficiencies before they hit the mainstream—from the housing bubble to today’s emerging industries.
I also happen to be a daily cannabis user of over twenty years.
That shouldn’t matter when evaluating analytical skill—but it still does.
And that tension is exactly what my work explores!
What I'm Writing About
For more than two decades, I’ve had candid conversations with professionals, investors, and entrepreneurs who use cannabis responsibly. The pattern is clear: the “lazy stoner” trope isn’t data—it’s cultural bias. High-functioning cannabis users exist everywhere, yet remain invisible because stigma still carries social and professional costs.
That disconnect between reality and perception creates measurable market inefficiency. When investors undervalue an entire sector due to outdated narratives, opportunity emerges.
Through the Consumer-Driven Black Market Displacement (CBDT) framework and its companion ΔU Utility Model, I quantify how normalization shifts market share from illicit to legal channels. My published dataset on Harvard Dataverse validates the model across U.S. markets, and my ongoing analyses apply it to new regions and policy trends.
I compare cannabis to other normalized consumables like coffee, alcohol, and tobacco—industries that underwent the same moral panic before becoming mainstream—and show why this transition represents one of the most asymmetric investment opportunities of the next decade.
Why "The Silent Majority"
There’s a widening gap between public dialogue on cannabis (still stigmatized) and private behavior (widespread, accepted, and often high-performing). The silent majority are professionals, parents, athletes, and business owners who quietly disprove the myths through how they live.
My goal isn’t to promote use—it’s to normalize honesty. I want to elevate the conversation around cannabis policy, economics, and behavior through data, not dogma.
Topics I Cover
- Market efficiency and stigma-driven mispricing
- Cannabis vs. coffee normalization trends
- Policy modeling using the CBDT and ΔU frameworks
- State-by-state market analysis and black-market displacement data
- Investment implications for U.S. and Canadian MSOs
Steve Jobs Not Half Baked
Author Identifier: https://orcid.org/0009-0003-6779-9910