It has been quite a week in the data lab working on the Power Rankings. I hunkered down the second the game ended on Monday, determined to dig down as deep into the data as I could get.
My commitment to data did not afford me the time to eat, sleep, or spend time with my family and friends.
I turned my phone off, blocking out all the noise and distractions of the world. I collected my biological waste in a jar rather than waste a single second of time walking to the bathroom.
It was just me and data — day after day, hour after hour, minute after minute, second after second.
The findings were absolutely incredible.
No vagueness, ambiguity, or questions were left to be answered. Even simple minds like Drew, with my help, will understand the data output this week. Rumor has it Michael Pallas might even do a livestream about these Power Rankings if his Cricket Mobile hotspot can get a good signal. There is even a whisper floating around Twitter that JohnnyBSkol is going to badger Kay Adams about my groundbreaking findings.
My proprietary data algorithm speaks in a language that most humans are incapable of understanding. Only highly-trained minds possessing advanced levels of intelligence can comprehend the inner workings of this process.
Lucky for you, I am one of those brilliant minds and I am here to translate how it produces the Power Rankings.
I am going to give you all a peek behind the curtain and show you the raw data produced by the algorithm this week.
I realize that this graphic is probably above most people’s heads, but I can assure you all that there are layers to these findings.
Now that I’ve given you all the privilege of seeing the level of detail my data can produce, let’s see how the data translated to this week’s Power Rankings:
(Featured photo credit: binarytranslator.com)