Well, another decade is down and it’s time to start the
analysis. I’m no scientist but I have
read a lot of science fiction. I think that qualifies me to do fictional science. It’s not even pseudo-science. It’s HEP style.
To begin, I was interested in how the first two decades
stack up against one another and the result was:
Figure 1: The HEP SCANALYZER detected high levels of embedded
datastats
Both the HEP Scores and the length of the books gradually
increased, though unsurprisingly, there doesn’t seem to be any correlation
between the two. (Frantz, 2012) Nevertheless I think I was able to capture a
very nearly accurate formula for determining future HEP Scores. After validating the formula with existing
data from the 50’s and 60’s, the result is conclusively indecisive but highly
exciting nonetheless!
Next, I used the hypothesis that x to determine a formula
for predicting future HEP Scores. I
haven’t had this peer reviewed yet, but once I have a few more years of data I
can further refine my calculations and probably submit my findings to the
journal Nature,
probably. Anyway, here’s the HEP Score
formula:
Where:
The next step layer of analysis investigated the levels and
sources of acquisition support. These
people/places have facilitated significant time spent on book reviews with
minimal investment. Thanks!
Figure 2: Sources of reading books
In this case, you can see a subset of the population are
actually cohorts with the book reviewer and further analysis showed their
contributions aided in the procurement of hard-to-find titles. Holla.
Works Cited
Frantz, J. R. (2012). My Brain. The Genius Review, 1064.
Don't you do enough of this analysis stuff at work??
ReplyDeleteIt would be great if I did more analysis of the amount of coffee and cookies I consume! I wish!
DeleteAbsolutely awesome stats! You may have to increase your Paragons column.
ReplyDeleteThanks, I think I'm gonna keep the chart going for the entirety.
DeleteYou are probably right about the paragons but I fully expect the paragon list to change as I move through the years. I wanted it to be a part of the pain. I wanted to have something that would pit my favorites against each other. Now that I'm just populating the list there haven't been any posts about it, but once it's populated I'll probably have to justify why I'm kicking one off.
...and it sure is a LOT of cookies.
ReplyDeleteWell sometimes it is, but that only works if the rest of the equation works out. Actually I don't think I wrote that logarithm correctly though. I think my reviews get better the more coffee and cookies I consume so they should have been on the bottom. Also that is not how you write out a log function. I'll blame it on (a) because of the lack of naps ;)
DeleteYou decide how many naps you take. Maybe you should take some lessons from the people you keep close because we are doing a great job keep up our nap quota.
DeleteI think you have exceeded your nap quota, thus preventing me from using my own nap tokens.
Deletean amusing post. I started to glaze over at the logorithm (a horrible habit), then gave it a second look--cookies? "-nap" you inspire me to make use of my own collection of data.
ReplyDeleteL (omphaloskepsis)
Wait...an English Lit major glazed over my formula? Shocking ;)
DeleteLook for the cookie button on your calculator. It's there, you just have to squint.