Chasing the Efficiency Eagle.
In a previous post, I outlined the theory of trying to accomplish a task 10-15 times faster. Since then, I've tried it out. Here are my first attempts. Let's go!
1. List target tasks
- Statistics Weekly podcast creation
- Clearing the dinner table
- Writing a research paper
2. Get some kind of timer and time yourself on the tasks
- Statistics Podcast: rough estimation, full afternoon (4 hours)
- Dinner Table: rough estimation, around 5 minutes
- Research Paper: rough estimation, spread out across two months
3. Jot down quick notes on how you could make it faster
- Statistics Podcast: write Python script to open all relevant webpages; write Python script to parse through R packages to pull out new packages; only pick most relevant articles
- Dinner Table: post at one point; combine similar dishes; single dumping point for garbage; quick movements
- Research Paper: Get quick analysis out and to collaborator same day; build reference notes right away; get introduction scaffold together right away; annotate code
4. Continue and keep track of timing
- Statistics Podcast: down to about 2 hours, give or take 30 minutes
- Dinner Table: down by at least half
- Research Paper: still working on it, but can probably condense it to a single month with planning
5. Make another round of notes and try again
- Statistics Podcast: speed run the journal article sources; throw up reference links in notepad; use hand-written notes for quick uptake
- Dinner Table: plan of attack before starting; keep fridge open
- Research Paper: N/A
6. When you've felt you've hit absolute limit, give yourself a star
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