The Liquor Bets Pulse

Methodology

Source-grounded, timestamped, citation-backed. AI-assisted, not AI-invented.

The Liquor Bets Pulse is a source-grounded relevance index. We collect public industry signals, link every item to its original source, timestamp it, and score it with a transparent, deterministic method. AI assists with collection and summarization, but it does not decide what is true and it does not set the score.

Source types
  • Trade publications. Industry press covering spirits and hospitality.
  • Consumer media. Mainstream and enthusiast coverage that signals reach.
  • Curation layers. High-trust private trade curation feeds, treated as a source-of-sources that points at original publishers.
  • Forums and social. Reddit and other community signals, weighted for reach and credibility.
  • Trend feeds. Search and interest signals such as Google Trends.
  • Press releases. Primary announcements, discounted for promotional risk.
Scoring dimensions
  • Source quality. Credibility, trade relevance, reach, and editorial independence of the sources, minus promotional risk.
  • Cross-source confirmation. How many independent sources corroborate the signal. One source is weak.
  • Commercial relevance. How much the signal matters to the trade commercially.
  • Liquor Bets market fit. Whether we can build a clean, resolvable market on the topic.
  • Velocity. How quickly attention is accelerating.
  • Freshness. How current the newest evidence is.
  • Signal strength. Breadth and volume of leading indicators backing the topic, such as cocktail specs, PR, social, and chatter.
  • Awards signal. Concentration of awards-relevant evidence. It lifts commercial relevance and market fit, but never source quality.
Leading indicators

The Pulse tracks leading indicators, the signals that tend to precede awards and industry outcomes rather than report them after the fact. These are signals, not guarantees. A strong signal raises the odds that something is building; it does not promise a result. Awards-relevant signals influence commercial relevance and market fit when the evidence supports it, but they never override source quality.

  • Awards signals. Nominations, judging chatter, and competition activity such as Tales of the Cocktail or the IWSC.
  • Cocktail specs and menu movement. A spec surfacing across menus, or a drink being added or dropped, signals on-premise adoption.
  • PR cadence. The rhythm of press releases and brand announcements, discounted for promotional risk.
  • Social activity. Posts and engagement spikes that show consumer or trade attention building.
  • Trade chatter. Discussion among bartenders, buyers, and the industry press.
  • Consumer chatter. Discussion among drinkers and enthusiasts in forums and communities.
  • Sentiment. Net polarity of the conversation, tracked separately for the trade and for consumers.
  • Category momentum and distribution. Whether a category is accelerating and whether availability is widening.

Signal tags describe what kinds of evidence back a topic. They are leading indicators, not predictions. A topic carrying awards signals is one we are watching for an awards outcome, not one we are forecasting to win.

Confidence scale

Confidence is published on a 0 to 10 scale. It is more conservative than the headline Pulse Score: it requires multiple independent sources and verified evidence. A topic backed by curation alone cannot reach high confidence.

Curation layers

Curation layers are private industry curation feeds modeled as a source-of-sources rather than as raw sources. They are discovery inputs that help surface what to look at. When a curated item links to an original publisher, that publisher remains the citation layer and is preserved as evidence alongside the curation signal. Curation can lift a topic, but it cannot, on its own, make a topic high-confidence.

Source resilience

The Pulse does not depend on any single feed. Collection draws on direct RSS and trade sources, trade publications, awards pages, PR feeds, search and trend signals such as Google Trends, community signals such as Reddit, and private curation feeds. If any one input goes quiet, scoring continues with lower curation confidence and more weight placed on direct sources, so the index stays operable.

AI disclosure

This product uses AI-assisted research to collect, classify, summarize, and score public industry signals. Source links, timestamps, and methodology are provided wherever possible. AI does not create facts, and every published item is grounded in cited source material.

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