Geopolitics mixed · 0–6 months
A what‑if from the future

What if India retaliates against US goods with fresh tariffs?

India's counter-tariffs on almonds, Harleys and med-devices are symbolic retaliation atop a 50% wall, so the real signal is a stalled US-India deal and a softer rupee, not a Nasdaq selloff. Rhymes with 2019 when India hit 28 US products after GSP withdrawal with negligible market impact. India is a modest US goods partner but a strategic Quad counterweight to China; the forward angle is that this cascade over-prices China/semis exposure that India retaliation barely touches.

37%
our model probability
over 0–6 months
prediction markets — the market's odds
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Anchored to measured history 37% · 90% range 16–58% · 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 0–6 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 mixed shock. Atop the existing 50% US wall, New Delhi imposes fresh counter-tariffs on US almonds, Harley-Davidson, and medical devices. The trigger decomposes into signed root‑shocks — Trade tension ▲ · EM currencies ▼ — 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.