This event aggregator brings together six prediction markets that collectively measure Elon Musk's social media activity during the week of May 5-12, 2026. Rather than offering a single binary outcome, these markets segment his expected tweet volume into distinct ranges: 0-19 tweets, 20-39 tweets, 60-79 tweets, 460-479 tweets, and 500+. This segmented structure allows observers to pinpoint not just whether he'll be active, but the specific intensity and frequency of his engagement during this period. Elon Musk's social media presence has long been a subject of market interest, given his influence over financial markets, Tesla operations, and public discourse. His tweet frequency can signal engagement with specific topics—from cryptocurrency and space exploration to political commentary and product announcements. These markets provide a quantifiable way to analyze expected posting patterns across a defined timeframe, turning informal observations about his social media habits into measurable market data. The six markets in this group are mutually exclusive: only one outcome can occur. This creates natural relationships between prices. If the 20-39 range trades at high probability, you would expect the 0-19 range to trade lower, since those are competing outcomes. Similarly, extreme scenarios like 500+ tweets typically command lower prices due to their lower perceived likelihood. The collective pricing across all six ranges should theoretically sum to 100% implied probability, making the market a cohesive system for predicting his activity level. When examining the prices below, consider both historical posting patterns and current events unfolding during this week. Are there scheduled announcements, platform controversies, or major news cycles that might influence his engagement? Market prices reflect the aggregate expectations of all traders, so comparing odds across ranges reveals where consensus sits on his likely activity level. Narrow spreads between certain ranges suggest close probability estimates; wider spreads indicate stronger differentiation in expected outcomes.