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FAQ: How do I identify time periods where I have overlapping capsules within the same condition? I may want to keep only the capsules (time periods) where capsules overlap. I may also want to keep the times where a certain number (2, 3, or more) of capsules overlap. In this example, we will find time periods where there are at least 2 overlapping capsules which make up the Event Condition. In the screenshot below, you can see there are 3 separate time periods where the Event condition capsules overlap: Step 1: Merge any overlapping capsules together using the merge() function in Formula: Now, we have a time period basis (Event Condition (merged)) over which we can count the total number of overlapping capsules. Step 2: Count the number of overlapping capsules using the count of the original Event Condition capsules over each Event Condition (merged) capsule: This creates a new signal as shown in the trend below. We can see that the new signal values (where > 1) correctly identify the 3 time periods where there are overlapping capsules in the original Event Condition. Step 3: We use Formula to find where the Event Condition (merged) capsules touch a time period where the Number of Overlapping Events signal (created in Step 2) is > 1. Note that we could test for varying number of overlapping capsules (> 2, > 3, etc.) depending on the goals of our analysis. We could also break Step 3 into 2 steps (a Value Search to find where the Number of Overlapping Events is > 1, followed by a Composite Condition to do the touches logic). This generates the final results where the Overlapping Events condition correctly identifies our time periods of interest: