Markets & Finance risk-off · 6–18 months
A what‑if from the future

What if restaurant traffic falls off a cliff?

Double-digit declines in QSR/casual-dining traffic as consumers cook at home sink the restaurant equity group — the trade is short franchised QSR and casual dining (McDonald's relative resilience vs. Cheesecake/Texas Roadhouse beta) and a tell on low-end consumer health. Rhymes with 2008-09, when traffic fell and casual dining (full-service) underperformed value QSR. Skeptical: trade-down to QSR cushions the leaders, so the group splits; the uniform high-beta crypto cascade overstates a broad-market read of a sector-specific consumer signal.

25%
our model probability
over 6–18 months
prediction markets — the market's odds
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Anchored to measured history 25% · 90% range 12–38% · 40 dated precedents behind it — a wider range means thinner evidence

Every number ships with its receipt — the odds, the range, the precedents, and a public grade at Reality Check. The statistical machinery that produces it is proprietary.

The butterfly cascade

How this trigger trickles across markets, left → right — the root shock, its first‑order moves, then the ripple effects. Drag any node; tap a market for its real price history.

Resolution timeline — how this probability is moving

Our model's odds (electric blue) over time vs the market's (Polymarket, amber), from the past toward the 6–18 months horizon. Each dot is a real macro event that nudged the probability — green pushed it up, red pushed it down. Tap a dot for the source. Loading the probability audit trail…

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What it would mean

If this plays out, it is a risk-off shock. Quick-service and casual dining traffic falls double digits as squeezed consumers cook at home, sinking the restaurant equity group. The trigger decomposes into signed root‑shocks — Recession signal ▲ · Consumer spending ▼ · Risk appetite ▼ — which propagate through our causal graph to the markets below.

Methodology. Probability and impact are anchored to history and scored against what actually happens — wins and losses, in public, at Reality Check. Market odds live from Polymarket & Kalshi. By Vikas Singh, Quantitative Strategist. Updated 2026-08-13.