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Originally Posted by celandina
Secondly, I have now actually "chomped" thru your statistics, and ahm...you have NOT concluded anything about trending, but just correlated high # visitors and high # of likes and dislikes and comments. It makes a total sense, even without reading that drivel your call statistics. Everybody knows if something has a billion views, that it will have caomparable high number of likes, dislikes and/ or comments. Just look at Trump's twitter. That is logic, not statistics. Your statistics ( even though you have evaluated billions of data bits) is akin to this statistical marvel:
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That is the goal, to separate beliefs from facts and sometimes statistics help us to confirm our beliefs, such is the case
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Originally Posted by celandina
" We have determined that 50 % of viewers liked the clip and 50 % viewers did not" ...."Hmmm and what about the third viewer ?"
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what third viewer?
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Originally Posted by celandina
As to the graphs themselves:
You have neglected the fact that even if the power of sample is adequate, it is actually quite massive, the probability of correctly rejecting the null hypothesis when it is false (inverse of the type II error rate). Experiments with low power have a higher probability of incorrectly accepting the null hypothesis—that is, committing a type II error and concluding that there is no effect when there actually is (I.e. there is real covariation between the cause and effect).
There are many sources of potential error in massive data analysis, many of which are due to the interest in “long tails” that often accompany the collection of massive data. Events in the “long tail” may be vanishingly rare even in a massive data set. For example, in consumer-facing information technology, there may be little data available for many individuals even in very large data sets.
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You are wrong, there was no hypothesis set, I was just analysing the variables involved in order to create an hypothesis we would need to make an anova anaysis or a t-test analysis that I invite you to make or @adultking that says he is an expert in AI and big data, you are just repeating words without understanding really what you are saying.... there was not hypothesis created YET, that would be the next step on an analysis like this
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Originally Posted by celandina
Your graphs show a great regression towards the mean. From this explanation it is also clear that the more extreme sample you select for your conclusions there is a higher likelihood of a regression toward the mean in any subsequent measure or any post test.
I could go on and debunk all your stats but I am bored reading that the Earth is a sphere.
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Please debunk them, that is the goal of this post, happy to share the data collected and cleaned, I am always happy to learn
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Originally Posted by celandina
Also before you call somebody a troll look at your own " buy from me useless software" track record.
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No I wont your comments are always this kind of nonsense and I am here proving I just not promote my software..... unless you that even when you tried to debunk anything and repeat words you dont understand .... you failed, but happy to learn your elements to debunk the information I put here, that is the goal of this post, cheers.