- 埃隆·马斯克会在2026年9月4日至9月11日期间发布160至179条推文吗？14¢
- Will Elon Musk post 100-119 tweets from September 4 to September 11, 2026?2¢
- Will Elon Musk post 140-159 tweets from September 4 to September 11, 2026?9¢
- 埃隆·马斯克会在2026年9月4日至9月11日期间发240到259条推文吗？10¢
- 埃隆·马斯克会在2026年9月4日至9月11日期间发布300到319条推文吗？2¢
- 埃隆·马斯克会在2026年9月4日至9月11日期间发布320-339条推文吗？2¢
- 埃隆·马斯克会在2026年9月4日至9月11日期间发布360-379条推文吗？<1¢
- 埃隆·马斯克将在2026年9月4日至9月11日期间发布380-399条推文吗？<1¢
- 埃隆·马斯克会在2026年9月4日至9月11日期间发布480-499条推文吗？<1¢
- 埃隆·马斯克会在2026年9月4日至9月11日期间发布500条以上推文吗？<1¢
- Will Elon Musk post 0-19 tweets from September 4 to September 11, 2026?<1¢
- Will Elon Musk post 20-39 tweets from September 4 to September 11, 2026?<1¢
This market will resolve according to the number of times Elon Musk (@elonmusk), posts on X from September 4 12:00 PM ET to September 11, 2026 12:00 PM ET. For the purposes of this market, only main feed posts, quote posts and reposts will count. Replies will NOT count towards the total - however, replies on the main feed such as https://x.com/elonmusk/status/1786073478711353576 will be counted by the tracker. Deleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes). Community reposts which are not counted by the tracker not count toward the total. The resolution source for this market is the 'Post Counter' figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking "Export Data". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.
Recent moderate posting rhythms, with Elon Musk averaging roughly 25-35 posts daily in late August resolutions around the 160-179 and 180-199 brackets, anchor trader sentiment for the September 4-11 window. The absence of major Tesla product cycles, SpaceX launches, or political flashpoints in early September supports expectations for steady platform engagement without the spikes seen in busier months. Closely matched probabilities across the 160-219 bands reflect uncertainty over minor variables like Grok updates or routine business commentary, while historical patterns show volume can shift quickly with breaking news.