Yes I think serious practice is needed. There is something else that is a disadvantage: you need anyway to review your lecture notes; but since they are so beautiful you do not easily see mistakes; one way to avoid overly beautiful notes is to use a kind of draft font that deliberately looks a bit off. The drawings (with the keyholes ) are of path integrals with holomorphic functions (something I did around 1982)
But the whole idea and execution are phenomenal.
My feeling is that using emacs it could be possibly easier but I will not try to convert a vimmer
Yes No multimedia programs, cause I am a mathematician and for pdf I use pdftools; so no Adobe also; started with Slackware in 2007 after an abysmal windows period from 1991 till 2007; now I use openbsd and emacs simply rocks and is rock solid on openbsd.
So how many of these 2000sampled families are actually on-line or have proper internet connections? How is this distributed across the country? How many have proper jobs? Are unemployed ? How does it match to the age distribution among all inhabitants? And why would 200 $ be a right cut-off for income?
Very impressive.
The first displayed text page contains a typo at the bottom :
CHAUCHY iso CAUCHY.
As others have said physically rewriting is part of comprehension (as is rewriting new words learned in a new language)
As the lecture notes are drafts from the black board I suggest using a font that does not make it look like perfectly printed. You can fool yourself believing what you wrote because it looks so pretty.
If you are writing a considerable amount of latex his setup is really cool. I will you these ideas but using emacs in stead of vim.
Wonderful job!!
Statisticians are doing fine indeed. The problem lies entirely in the ( non) design of experiments ( DoE) of the “scientists”. The sorry state of affairs of graduates from universities in properly designing experiments in which proper randomization, focus on sources of variability, between groups and within groups is not understood nor accounted for in the design is the true source of the problem. Scientists should always consult a statistician when undertaking an experiment. At least if they would like to make/draw sensible conclusions.