The Most Famous Insider Trade SwampScore Would Have Missed
Richard Burr — Hotels SELL — February 2020
- Politician
- Richard Burr
- Party / State
- R-NC
- Chamber
- Senate
- Ticker
- WH / PK
- Direction
- SELL
- Amount
- $250k+
- Owner
- Self
- Trade Date
- 2020-02-26
- Disclosed
- 2020-04-02
- Lag
- 36d
Committee Overlap
Senate Intelligence Committee has no jurisdiction over hotels, travel, or consumer hospitality. Burr's informational edge came from classified pandemic briefings — macro-level national security intelligence with no connection to his committee's sector oversight.
Senate Intelligence Committee (Chair)
What Happened
Wyndham Hotels fell ~65% and Park Hotels fell ~75% between February and late March 2020. The S&P 500 fell ~34%. Burr's sell was perfectly timed — but the information source was classified pandemic briefings, not sector-specific committee intelligence.
SwampScore Breakdown
Self-filed × Senate (1.0 × 0.92). Raw sum 33 × 0.92 = 30.4 → 30.
The Full Story
On January 24, 2020, Senator Richard Burr attended a closed-door Senate Intelligence Committee briefing on the emerging coronavirus threat — weeks before public health officials acknowledged the severity. On February 26, 2020, Burr sold between $628,000 and $1.72 million in hotel and hospitality stocks — Wyndham Hotels (WH), Park Hotels & Resorts (PK), and others. The S&P 500 had not yet priced COVID-19. The Dow Jones would drop 37% over the following four weeks. Burr eventually resigned as Intelligence Committee chairman. The DOJ investigated but ultimately closed the case without charges.
Why SwampScore Scored It This Way
SwampScore would have scored this trade LOW (30). That is not a bug — it is the design. The formula is built to detect committee-specific informational edge: jurisdiction over an industry, insider knowledge of procurement decisions, regulatory power over a sector. Burr's edge was categorically different: he had access to classified pandemic intelligence with no relationship to his committee's nominal oversight of the hospitality industry. A signal that flagged every political trade would have no predictive value. SwampScore is calibrated to identify the causal mechanism — and macro-level classified intelligence is not the mechanism the formula tracks.
The Signal Lesson
This is the most important case study in the collection. The model's honesty here is the product's credibility. SwampScore is not designed to catch every instance of congressional insider trading. It is designed to score the type of informational edge that is structurally repeatable — committee jurisdiction, herding coordination, federal money flow. A one-off classified briefing about a pandemic is outside the formula's scope, and intentionally so. Signal accuracy depends on not overfitting to dramatic but structurally unrepeatable cases.
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