Year In Data

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Logline

Once a year, in mid-December, Professor High publishes the cannabis industry’s State of the Union — told entirely through what 19,000 strains, their terpene shifts, and their popularity curves did over the last twelve months.

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Concept

Year In Data is the industry-facing analyst report. Where Cannabis Wrapped is the consumer-facing emotional ride, Year In Data is the document that gets quoted in trade press. The format borrows from end-of-year reports the rest of the world expects: Spotify Wrapped meets Mary Jane Holdings investor deck meets a Stratechery essay. Each finding is a single, defensible data point pulled from twelve months of the strain pipeline. The terpene that gained the most ground. The strain whose popularity collapsed and the receipts on why. The High Family that emerged from nowhere. The dispensary chain whose menu shifted the most. This is not opinion. This is what the database actually saw. The voice is Professor High’s analyst register — warmer than a McKinsey deck, more rigorous than a stoner blog. Every chart is shareable, every claim is sourced, and the whole thing exists as a permanent annual report page on the website that gets cited for the next twelve months.

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Why It Works

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Format

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Platforms

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Cadence

Annual. Drops the second week of December, ahead of competing year-end content. One per year. No exceptions, no skipped years. The annual cadence is part of what makes it citable.

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Example Episodes

Year In Data: The Terpene That Gained the Most Ground in 2026. A single terpene took disproportionate share of new strain releases this year. The chart shows the curve. Professor High explains what changed — breeder preference, consumer demand, or both — and what that says about where the market is heading. Year In Data: The 5 Strains Whose Popularity Collapsed (And Why). The strains that were everywhere last year and disappeared this year. Each one gets a paragraph on why: oversaturation, terpene drift, a successor strain that ate its lunch, or marketing fatigue. Year In Data: The High Family That Emerged From Nowhere. A High Family that did not exist as a meaningful cluster twelve months ago and now accounts for measurable database share. The genealogy chart, the lead breeders, the dispensaries carrying it first. Year In Data: The Dispensary Chain Whose Menu Shifted the Most. Not naming-and-shaming — naming-and-explaining. Which chain pivoted hardest, what they pivoted toward, and what the data suggests was driving it. Year In Data: 5 Predictions for 2027 Based on What We Just Learned. Five dated, specific predictions. The terpene that will gain ground next. The High Family that will plateau. The category that will get disrupted. We grade ourselves publicly next December.

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Production Notes

Heavy production. This is the highest-effort piece of content the team makes all year. Custom annual report design system that gets reused for the next decade — the goal is for “Year In Data 2026” to look like volume one of a series. Each finding is a custom chart, not a screenshot of Excel. Cited at length in footnotes on the web version. Press kit goes out one week before public release with embargoed access for trade publications. LinkedIn version uses the High AI Labs voice, not the Professor High voice — this is the rare piece where the industry register takes precedence.

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Hashtags & Discovery

#cannabisindustry #cannabisdata #yearinreview #cannabisresearch #stateofcannabis #thisiswhyimhigh Trade press tags: #mjbiz #leafly #greenmarketreport. Direct outreach to industry journalists with the embargoed press kit.

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Success Metrics

• Backlinks acquired in the 90 days post-launch
• Trade press citations (target: 10+ in year one)
• LinkedIn carousel saves and shares
• Direct traffic to the permanent web report through the rest of the year
• Predictions accuracy (graded the following December — accountability metric)

If the report earns 10+ trade citations in year one, this becomes the company’s most important annual output.

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Pillar

Strain Intel with a Science Drops crossover.

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Status

concept

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