I know I might sound pretty evil in this blog post, but sometimes I just have to pull a funny prank on the EleFilm blog!
Statistical Algebra
Statistical Algebra is a method of using a PB trend to predict the likelihood of us going on trip brainstormed for a long time down the road on a certain day or range of days between the day of conception to the verdict day. It is the art of using data on a graph to make statistically informed predictions on what a future verdict could be way ahead of time.
Pros of using statistically-informed predictions
Statistically informed predictions could be used to accurately predict the final verdict ahead of time. By combining the theoretical & actual outcomes of past failed probability experiments, we could use the outcomes to accurately formulate a forecasted PB trend for a trip which has been recently ideally conceived. By using these types of predictions, we could not only accurately plot theoretical data for a new forecasted PB trend, but, we could now check discussions for frequency & relevant content to the conceived idea to easily revise the graphs to keep them as accurate as possible.
Cons of using statistically-informed predictions
However, statistically-informed predictions do have some cons. There may be situations (although this is a bit rare) where we cannot gather the data from past failed & successful PBE's to use the outcomes to formulate a forecasted PB trend. This mainly applies for when ideas for future trips are conceived years ahead of time. Using these types of predictions would become impractical, because not only would it be wiser to make full, complete revisions of the graph even more often, but we would have to make completely new predictions for forecasted trends between a shorter time frame. The final result may not work out as intended, because we would have to average the data of each individual graph, add up the averages of each graph & then find the cumulative average likelihood of us going between the day of conception & verdict days.
How we could use this to pull pranks
There are so many possible scenarios to how we could use graphs to pull pranks that we simply did not have enough time to write each of them out in a detailed paragraph. However, here are best ways we could use the graphs to pull pranks:
- When statistical algebra predicts a bad verdict
- If this is true, then, to prank y'all, we could come up with a completely fake PB trend graph. To do this, for every point on the graph, we do the inverse, subtract the original point from 100 percent. This will make the possible outcome look significantly higher. Not only will THAT happen, but this would make the line look like it's approaching 100%.
- However, I will only do this at random so it could work like a real prank. You guys will 100% hate it for the moment, but it's good to use to cheer us up for it, so I guess it works both ways.
- When statistical algebra predicts a very good verdict above 90%
- If this is true, then, to be even MORE funny with the prank, we could come up with a PB trend graph which is the inverse of the original one. This means instead of counting from 0, we could count down to 100 & assign each point on the graph the NEW value. This will make the possible outcome look significantly lower. Not only THAT will happen, but the graph will look like it's trying to touch the 0% threshold.
Furthermore, when I make the prank blog posts, I will use the data opposite of the original graphs & use vocabulary I normally use during a bad (or good if the real verdict is good) verdict to make the posts look 100 percent real. I'm sorry to do this, but everyone's gotta laugh, especially after the LA trip's verdict was as burnt as the chicken I ate last night.
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