Add kernel longevity section

README.md

@@ -10,29 +10,29 @@
 
 Some interesting questions to pose
 
-1. Long-term growth
+1. [ ] Long-term growth
    How many unique machines download packages per day, and is the growth linear, exponential, or flattening?
 
-2. Weekly rhythm
+2. [x] Weekly rhythm
    Does the number of unique downloaders follow a weekly cycle (week-day peaks vs. weekend dips)?
 
-3. Kernel lag
+3. [ ] Kernel lag
    On average, how many days elapse between a new kernel being published upstream and the first time it appears in the logs?
    *(Group kernels by major.minor, compute min(date) per kernel, compare with its official release date.)*
 
-4. Kernel longevity
+4. [x] Kernel longevity
    Which kernel versions have the longest total lifespan (first → last appearance) and which ones disappear fastest?
 
-5. Top packages
+5. [ ] Top packages
    Which five packages have the highest median daily download count across the whole period?
 
-6. Version stickiness
+6. [ ] Version stickiness
    For packages with ≥10 versions, what fraction of users stay on the older version at least one week after a newer version becomes
  available?
 
-7. Big-bang updates
+7. [ ] Big-bang updates
    Are there days when the total number of package downloads is >3σ above the 30-day rolling mean (indicating a bulk-update campaign)?
 
-8. File-size vs. activity
+8. [ ] File-size vs. activity
    Is there a correlation between the size of the daily JSON snapshot and the number of unique downloaders?
    *(Large files might mirror repository-wide rebuilds.)*