There is moderate risk. The main traps are the nuanced definition of 'replies' (main feed replies count, standard ones do not) and the strict reliance on a custom Polymarket tracker (xtracker). Tweets deleted before the tracker captures them (~5 mins) will not count, meaning manual counting on X may diverge from the final resolution data.

This is a classic novelty and entertainment market. Ordinary people do not forecast the exact frequency of a tech executive's tweets over a random 48-hour window. It is driven purely by speculative interest rather than macro real-world significance.

May 4, 2026 - May 7, 2026, the price of the '65-89' option plunged from 41c to around 18.5c, while the '40-64' option steadily climbed from 46c to around 60c. This occurred because, as the observation period approached, the market used recent tracking data to confirm that Musk's posting frequency hadn't unexpectedly spiked. Expectations highly converged on his most normal historical baseline (40-64 times), leading to a clear shift in capital.

Predicting the exact daily high temperature for a specific city, while existing in traditional weather derivatives, is relatively niche and carries a novelty/entertainment factor for average prediction market participants.