| I hypothesize that confidence in one's future grades impacts happiness as well as one's ability to learn, so I define "doing better" as "minimizing the effort to get good grades," with the understanding that this achievement improves the other qualities of life.
Divide the labor (e.g. study group) into two functions: paraphrasing the primary sources (syllabus & lecture) and paraphrasing the secondary sources (G-drive outlines).
Lesson 1: Only bother with the primary sources when they differ from the secondary sources. You'll rarely need to take class notes, because your teacher's lecture will differ little from the G-Drive outlines reflecting past years; and, before the first day of class, you can determine that you'll only need to read a few cases -- that you don't even need to buy a casebook -- if you compare your syllabus with your g-drive outlines.
Holmes said that "The law consists of that paraphrase of Precedent that a judge is most likely to adopt." (j/k.)
If
- the professor is a common-law Judge,
- each day's lecture is a Precedent,
- and the Law is the exam,
then
- the exam is the paraphrase of lectures that the professor is most likely to generate.
- We can approximate the most probable exam as the one which a person empathizing with the professor is most likely to generate.
Lesson 2: DO NOT attempt to empathize with the professor alone. Use multiple G-drive outlines to generate a person empathizing with the professor statistically.
In principle, a single document could come into being that permits a future student to get a high grade without buying a casebook or transcribing a word of lecture. Indeed, my outlines for Contracts and Civil Procedure last semester would have permitted a student to do this, had my professors not, respectively, retired / been retired. I plan to contribute my outline to the G-Drive collection. To outlines one through six, there will now be seven.
Information equals the destruction of bad data. The problem is, that the addition of newer, better outlines makes it MORE difficult for future 1Ls to distinguish bad from good data. We are just adding new data, not new information, until we identify a force that can identify and destroy the bad data.
How do we find a Maxwell's Demon with the incentive to cull the data from the information? |