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Old 03-08-2019, 09:07 AM  
celandina
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Join Date: Jun 2006
Posts: 11,555
Quote:
Originally Posted by patadeperro View Post

Don't worry, an entire lifetime won't be enough for you to even read the post, you just keep trolling.
Firstly, I am sorry that you have a sense of humor of a slug.

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:

" We have determined that 50 % of viewers liked the clip and 50 % viewers did not" ...."Hmmm and what about the third viewer ?"

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.

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.


Also before you call somebody a troll look at your own " buy from me useless software" track record.
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