7 hours ago
- Drives tend to be nearly full regardless of size; free space is often only a few percent.
- A poll showed about half of respondents had drives more than 75% full, indicating a common problem.
- Increasing storage capacity by orders of magnitude does not solve persistent fullness.
- An entropic argument suggests random file changes lead to fullness, but this is incomplete.
- Full disks become problematic only when impossible to add more files, and cleanup is often partial due to effort.
- This pattern of waiting until pain points causes larger issues appears in software, infrastructure, health, and personal schedules.
- Jevons paradox and artificial constraints, like budgets or using weaker hardware, can optimize resource use.
- Applying tighter constraints (e.g., developing on a Raspberry Pi) can lead to efficiency that scales to powerful systems.