General EPS discussion

Summary:

This document presents a weekly analysis of event occurrences, detailing the progression in raw and correlated events across multiple weeks. Initially, there are high volumes of raw events (e.g., 40 million in Week 1), which decrease as more correlation is applied among analysts. The number of correlated events reduces significantly by Week 30 despite a significant increase in raw data volume to 185 million. Notably, the total number of analysts remains constant at 10 throughout this period. Data for weeks between Weeks 13 and 30 are not provided due to placeholder entries.

Details:

This table provides a weekly analysis of events per analyst based on raw data. Each week's data includes the total number of correlated events and analysts, with each event being analyzed by multiple analysts to reach a final count. The correlation between the number of raw events and the number of analysts increases slightly over time, showing that as more raw events are processed, fewer analysts are needed per event. For example, in Week 1, there were 40 million raw events and 100 thousand correlated events with 10 analysts. By Week 30, there were 185 million raw events and only 5 thousand correlated events but still using 10 analysts to analyze them. The table does not list specific numbers for weeks 13 through 30 due to placeholders (#) being used instead of data points.

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