Subreddit Tracking Subreddit Comparison Summary Methodology Support me on Ko-fi BETA
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Live Reddit Tracking and Analysis

This site tracks and analyzes daily post activity across 13 subreddits. I began this analysis after wondering how comparable various political subreddits are in terms of whether posting activity is concentrated among a relatively small number of users. This analysis focuses on posts only and does not account for comments. A five-day reporting lag is applied to allow time for data collection and cleanup. All usernames have been pseudonymized. For more background and information, see the Summary and Methodology pages.

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Posts in the Last Days
Figure 1: The number of posts made by the top 10 users on .
Top 10 Users (Last Days)
Figure 2: Percentage of posts made by the top 3 users on .
Top 3 Users (Last Days)
Figure 3: Timeline of the 7-day average number of posts per day by the top 10 users for .
7-Day Running Daily Post Average (Last Days)
Figure 4: Daily number of posts made by the top 3 users compared to all other users combined at .
Daily Post Count (Top 3 vs All Others)
Figure 5: Percentage of posts made by the top 3 users compared to all other users combined at .
Daily Percent (Top 3 vs All Others)
Clustered Posting

Clustered posting is defined here as three posts by a user within 20 minutes (at most). Posts are evaluated chronologically, assigning groups of 3 posts into bins and then continuing the search for additional clusters. This ensures that each post can only contribute to a single cluster. Clusters are categorized according to the time between the first and third posts. For example, a purple marker in the figure below at '10' indicates that the user had 10 distinct occurrences in which 3 consecutive posts were made within 5 minutes. This analysis includes all posts made by the top 10 users during the last days. Clustered posting may be an indicator that a user is using scheduling software - for example, when a user queues several items (articles or posts) to be published automatically - but it does not necessarily establish that scheduling software was used.

Figure 6: Clustered posting analysis for the top ten users of .
Clustered Posting (Top 10 Users)
Example of Clustered Posting

The example posting timeline below shows how posts are categorized into their respective cluster bins. In this example, the user's posts would be categorized as two 0–5-minute clusters , one 5–10-minute cluster , one 10–15-minute cluster , zero 15–20-minute clusters , and two posts that do not fall within a cluster.

Figure 7: Example of how clustered posting is determined.
Example clustered-posting timeline A timeline from zero to sixty minutes showing four non-overlapping three-post clusters and two posts that do not form a cluster. 0 5 10 15 20 25 30 35 40 45 50 55 60 Minutes Not clustered Not clustered 0-5 min 10-15 min 5-10 min 0-5 min User post