The Lion's Pride Volume 11 (Winter 2019) | Page 36

weighs each variable against inputted parameters. They construct many
of their models in a way so that they can add any new source of data into
it while still being able to assign its start value. This allows the model to
weight more reliable sources more heavily. Big data and political
modeling use the math concept of statistics. Statistics helps people
predict outcomes within a certain percentage. Big data and AI allow one
to take the basic concepts of statistics and amplify it on a scale never
seen before in human mathematics. If one wants to continue to push the
boundary of intelligence, one might need to define intelligence. Below is
a simple equation for defining intelligence.
As you can see
from this equation, intelligence is rather simple to define, thus no further
explanation is needed. I will, however, leave you with this interesting
quote found during my research: “There is nothing that can be said by
mathematical symbols and relations which cannot also be said by words.
The converse, however, is false. Much that can be and is said by words
cannot be put into equations – because it is nonsense” (Hutter, 2018).
A large part of political statistics is figuring out which data should be
ranked higher in terms of predicted value. Also, which indicators you
want to avoid or rank lower because they might feed your model
misleading data. A recent blog post on FiveThirtyEight laid out a
formula for calculating political results while accounting for
incumbency advantage. Election Result = Partisan Lean + (Popular Vote