I keep forgetting to time myself. I keep forgetting to click on the website to see how much time I actually spend programming. As a result, for now, I will let it go. I believe I spend a few hours, but that just means more than one and less than seven (seven seems more than few, doesn't it?).
Data
I finished the first course! It feels like a stepping stone towards a goal.
On to the next course: Foundations of Data Analysis on edX. I quite like edX. More than liking edX, I am excited to learn Statistics. I've always regarded statistics as the unfortunate sibling to math. The not as pretty, not as smart, not as kind, not as funny sibling. And yet, I am excited for this course. I am excited to (hopefully) fall in love with the subject, I am excited to learn new topics, and I am excited because it will allow me to do what I really want to do on this blog: mix two subjects that I love. I hope to bring examples from one to illustrate the other.
Physical
This week I keep moving back into the history of articles written, with the 1992 How Much Physical Activity is Good For Health. This article is well written but more of the same in terms of outlining the problem and why exercise is a solution, which is to be expected with a review. While reading it, I realize how vague the question "how can I get the most out of activity" really is. Especially when viewed from a macro perspective. People (and a sizable number of people, too) just don't seem to move. Thus, instead of one vague question there are two:
1. How can I get the most out of activity
2. How can the population lower effectively (read: minimal commitment) negative phenomena by being more active?
For the first I have not yet found any hints.
For the second I have not yet found any hints.
I have, however, learnt this: neither has anyone else. That is oddly comforting.
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