Post by account_disabled on Feb 22, 2024 4:55:27 GMT -5
The I evaluated each states search volume for fox news and cnn. Eight states showed the exact same search volumes for both. Excluding those from my initial test my results accurately predicted of the presidential state outcomes including North Carolina and Wisconsin which Silver mispredicted. Interestingly cnn even mirrored Hillary Clinton similarly winning the popular vote vs. average monthly search volume for the United States. In contrast Nate Silver accurately predicted states using a statistical methodology based on polling results.
Click for a larger image This gets even more interesting The eight America Mobile Number List states showing the same average monthly search volume for both cnn and fox news are Arizona Florida Michigan Nevada New Mexico Ohio Pennsylvania and Texas. However I was able to dive deeper via GrepWords API a keyword research tool that actually powers Keyword Explorers data to discover that Arizona Nevada New Mexico Pennsylvania and Ohio each have slightly different cnn vs fox news search averages over the previous month period. Those new search volume averages are fox news avg monthly search volume cnn avg monthly search volume KWR Prediction Vote Arizona Trump Trump Nevada Hillary Hillary New Mexico Hillary Hillary Ohio.
Trump Trump Pennsylvania Hillary Trump Four out of five isnt bad This brought my new prediction up to . Silver and I each got Pennsylvania wrong. The GrepWords API shows the average monthly search volume for cnn was searches higher than fox news to put that in perspective thats . of the states population. This tightknit keyword research theory is perfectly reflected in Trumps . win against Clintons .. Nate Silver and I have very different day jobs and he wouldnt make many of these hasty generalizations. Any prediction method can be right a couple times. However it got me thinking about the power of keyword research how it can reveal searcher intent predict behavior and sometimes even defy the logic of things like statistics. Its also easy to predict the past. What happens when we apply this model to todays Senate race Can we apply this theory to Alabamas special.
Click for a larger image This gets even more interesting The eight America Mobile Number List states showing the same average monthly search volume for both cnn and fox news are Arizona Florida Michigan Nevada New Mexico Ohio Pennsylvania and Texas. However I was able to dive deeper via GrepWords API a keyword research tool that actually powers Keyword Explorers data to discover that Arizona Nevada New Mexico Pennsylvania and Ohio each have slightly different cnn vs fox news search averages over the previous month period. Those new search volume averages are fox news avg monthly search volume cnn avg monthly search volume KWR Prediction Vote Arizona Trump Trump Nevada Hillary Hillary New Mexico Hillary Hillary Ohio.
Trump Trump Pennsylvania Hillary Trump Four out of five isnt bad This brought my new prediction up to . Silver and I each got Pennsylvania wrong. The GrepWords API shows the average monthly search volume for cnn was searches higher than fox news to put that in perspective thats . of the states population. This tightknit keyword research theory is perfectly reflected in Trumps . win against Clintons .. Nate Silver and I have very different day jobs and he wouldnt make many of these hasty generalizations. Any prediction method can be right a couple times. However it got me thinking about the power of keyword research how it can reveal searcher intent predict behavior and sometimes even defy the logic of things like statistics. Its also easy to predict the past. What happens when we apply this model to todays Senate race Can we apply this theory to Alabamas special.