User Statistics
View statistics for any monitored user:Statistics Display
The statistics embed contains: Header Information:- Author: Username and discriminator (e.g., “username#1234”)
- Title: “Average times between profile picture changes:”
- Hours: Average hours between profile picture changes
- Days: Average days between profile picture changes
- Changes since beginning of Monitoring: Total number of profile picture changes detected
- Shows when monitoring started (in RFC 2822 format)
- Example: “Monitored since Fri, 15 Jan 2024 15:45:00 +0000”
Example Output
- This user changes their profile picture approximately every 14 days (336 hours)
- They’ve changed it 8 times since monitoring began
- Monitoring started on January 15, 2024
Statistics require at least 2 profile picture changes to calculate averages. With only 1 recorded picture, there are no intervals to measure.
Server Statistics
View statistics for the current server:Statistics Display
Server statistics use the same format as user statistics: Header Information:- Author: Server name
- Title: “Average times between server icon changes:”
- Hours: Average hours between icon changes
- Days: Average days between icon changes
- Changes since beginning of Monitoring: Total icon changes detected
- When server monitoring started
Example Output
- The server changes its icon approximately every 30 days
- Icons have changed 12 times since monitoring began
- This suggests monthly icon updates, possibly for seasonal themes
Understanding the Averages
How Averages Are Calculated
The bot calculates averages by:Collecting all change timestamps
Every time a profile picture or server icon changes, the exact timestamp is recorded.
Calculating intervals
The time difference between consecutive changes is measured:
- Change 1 at Day 0
- Change 2 at Day 7 → Interval: 7 days
- Change 3 at Day 14 → Interval: 7 days
- Change 4 at Day 28 → Interval: 14 days
Averages are rounded to whole numbers. Fractional hours and days are rounded to the nearest integer.
Two Time Units
Statistics show both hours and days for convenience:- Hours: Useful for high-frequency changers
- Example: “48 hours” is easier to understand than “2 days” for frequent changes
- Days: Useful for low-frequency changers
- Example: “30 days” is clearer than “720 hours”
Interpreting Change Frequency
High-Frequency Changers
Characteristics:- Low average (hours: less than 168, days: less than 7)
- High change count
- Frequent profile updates
Medium-Frequency Changers
Characteristics:- Moderate average (hours: 168-720, days: 7-30)
- Moderate change count
- Regular updates
Low-Frequency Changers
Characteristics:- High average (hours: greater than 720, days: greater than 30)
- Low change count
- Rare updates
Comparing User vs Server Stats
Key Differences
Update Patterns
Update Patterns
Users tend to change profile pictures more frequently and irregularly based on personal preference.Servers often change icons on predictable schedules (seasonal events, monthly themes, special occasions).
Average Ranges
Average Ranges
Users: Averages typically range from 3 days to several monthsServers: Averages typically range from 1 week to several months, with many servers showing monthly patterns (28-31 days)
Change Count
Change Count
Users: Highly variable - some change constantly, others neverServers: Generally lower change counts unless actively managed for events
Insufficient Data Messages
Not Enough Profile Picture Changes
No Profile Pictures Recorded
User Not Monitored
/monitor @username and wait at least 30 minutes.
Server Statistics Messages
Not Enough Icon Changes
No Icons Recorded
Server Not Monitored
/monitorserver to start tracking (requires Manage Server permission).
Using Statistics Effectively
Advanced Interpretation
Understanding the Monitored Since Date
The footer timestamp is crucial for context:- Longer monitoring periods provide more accurate averages
- Recent monitoring (< 1 month) may not capture true patterns
- Seasonal patterns require at least 1 year of monitoring
Statistics become more reliable over time. An average calculated from 3 changes over 2 weeks is less reliable than one from 20 changes over 6 months.
Outliers and Anomalies
Some factors can skew averages:- Initial setup period: Users often change pictures multiple times when first customizing
- Special events: Holidays or events may cause temporary spike in changes
- Long gaps: If someone doesn’t change for months, then resumes, the average may not reflect current behavior
Treat statistics as general trends rather than precise predictions. Human behavior is variable and averages capture overall patterns, not exact schedules.