All
Outcomes
Market
Price
AI Fair
Value
Value
Edge
200+
YesNo
120-139
YesNo
140-159
YesNo
100-119
YesNo
160-179
YesNo
180-199
YesNo
60-79
YesNo
80-99
YesNo
40-59
YesNo
20-39
YesNo
<20
YesNo
AI Insights:
03.17 17:28 UpdatedFair Value Reasoning:
The market is undergoing a drastic repricing, completely overturning previous low-volume forecasts based on historical averages (10-15 posts/day). The new valuation (favoring 160-200+ posts, i.e., 23-30 posts/day) is strongly supported by the simulated March 2026 macro context: 'Operation Epic Fury' (military action against Iran) has triggered high-frequency retweets and official statements from the White House account, amplifying DoD and State Dept messaging. Additionally, March 17 is St. Patrick's Day, traditionally generating multiple posts (green fountain, PM visit). Given the density of 'wartime' information flow combined with holiday festivities, weekly volume is highly likely to exceed 160.
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Exotics
This is a typical novelty market. The general public rarely cares about the exact number of posts by a government account in a specific week. It is a pure data-mining betting proposition with low relevance to major real-world outcomes.
Movers
From March 14, 2026, to March 17, 2026, prices for low-volume buckets (20-39, 40-59, 60-79) crashed from an initial ~45c to under 5c, while high-volume buckets (160-179, 180-199, 200+) surged to dominate the market. Reason: Traders corrected an initial illiquid state as they realized the White House social media strategy had shifted to a high-frequency 'wartime mode' due to the simulated 'Iran conflict' and St. Patrick's Day events.
Divergence
Significant divergence exists. Historical data shows White House weekly post volume typically falls between 40-100 for both Trump 1.0 and Biden terms. However, current prediction market prices imply a volume of 160-200+. This deviation reflects a strong market expectation that specific simulated events (military operations + holiday) will drive an abnormal surge in information flow, disregarding baseline historical averages.