How do you get into the to 10%

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How do you get into the to 10%

Postby ssjvackar » Tue Sep 13, 2005 8:11 am

I was looking through the top ten percent of the videos and it says that you need at least 7 votes to get in. Anyone know what that means?
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Postby Ashyukun » Tue Sep 13, 2005 8:21 am

It means your video has to have at least 7 opinions/reviews of it. Each opinion/review given counts as a vote, and if the scores are high enough (it's weighted such that if you have two videos with the exact same opinion average, the video with more opinions will be higher ranked- the formula is on the page, I believe) the video makes the list.
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Postby LenWidleheyt » Tue Sep 13, 2005 8:22 am

I've been wondering about that list myself. The "vote" thing I believe means the vid must have at least 7 opinions to be qualified. As for the rest...

Qualified = count(opinions) > 7

compscore = sum(avg(nonNULL(opinion.category))/count(avg(nonNULL(opinion.category)) except Overall and Re-view

Note: The top and bottom 10% scores are removed from the average calculation (also known as the "Olympic Average")

score = Bayesian Average(avg(compscore+overall+review))

Bayesian Average = (v ÷ (v + m)) × R + (m ÷ (v + m)) × C

where:
R = average for the video (mean) = (old score)
v = number of votes for the video = (votes)
m = minimum votes required to be listed in the top 10% (7)
C = the mean score across all videos (average all vids)


Does anybody know what this means? Could someone explain it with words instead of formulas?
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Postby Ashyukun » Tue Sep 13, 2005 8:40 am

LenWidleheyt wrote:Does anybody know what this means? Could someone explain it with words instead of formulas?


Put simply, as I understand it (and somewhat explained above)- the highest and lowest scores are dropped, and then the final score is weighted such that the more opinions you have for a given average score, the higher ranked the video will be. So, for example, if a video just hit the 7 opinions requirement and happened to end up with an average the same as say, Doki's "Right Now" video, which has several hundred opinions- "Right Now" is going to be decidedly higher ranked.

It was, I believe, put into place to more fairly reflect the popularity of the videos, and to make it harder for people to get 6 or 7 of their friends (or make 6 or 7 duplicate accounts...) and give their video all 10's and then end up at the top of the Top 10 list. This way, videos that have gotten high scores more consistently and over a large number of opinions and, as such, truly are the top videos (especially over time), are ranked higher.
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Postby magin_brolly » Tue Sep 13, 2005 8:47 am

the main thing of this site - DON'T CHEAT!!!!!!!!!!
are you ready?
ready for what?
you think you can tell me what ot do?
know who're you talking too?
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Postby pen-pen2002 » Tue Sep 13, 2005 9:12 am

How do you get into the top ten percent?


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Postby FraChan » Tue Sep 13, 2005 9:13 am

Qualified = count(opinions) > 7


I think that means that a video must have 8 opinions to be qualified and not 7.
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Postby Ileia » Tue Sep 13, 2005 9:20 am

FraChan wrote:
Qualified = count(opinions) > 7


I think that means that a video must have 8 opinions to be qualified and not 7.



Yes. It IS 8.
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Postby Ashyukun » Tue Sep 13, 2005 9:27 am

Oops. :oops:
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Postby godix » Tue Sep 13, 2005 9:44 am

How do you get into the to 10%

Go to op exchanges and check out the average given score of someone offering exchanges before you do it. If they have above a 9.5 average given in every catagory go for it, if they have lower just keep on looking. I haven't actually tried this but I'm fairly sure in a week or two at most you'd be on the top 10 list. It helps alot if you use Naruto or FMA for your source and toss in tons of pointless effects, just FYI.
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Postby Castor Troy » Tue Sep 13, 2005 10:36 am

Make a good video.
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Postby Scintilla » Tue Sep 13, 2005 10:55 am

Ashyukun wrote:Put simply, as I understand it (and somewhat explained above)- the highest and lowest scores are dropped, and then the final score is weighted such that the more opinions you have for a given average score, the higher ranked the video will be. So, for example, if a video just hit the 7 opinions requirement and happened to end up with an average the same as say, Doki's "Right Now" video, which has several hundred opinions- "Right Now" is going to be decidedly higher ranked.

Not strictly higher, but further from the global average and closer to the video's actual raw score. It's just that all the videos on the Top 10 list have higher raw scores than the global average (else they wouldn't be there in the first place), so THEIR scores are all getting higher through the Bayesian average.

I've been told that the Bayesian average system actually gives lower-ranked videos on the Star Scale <i>lower</i> scores the more star ratings they get.
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Postby Ashyukun » Tue Sep 13, 2005 11:26 am

Scintilla wrote:Not strictly higher, but further from the global average and closer to the video's actual raw score. It's just that all the videos on the Top 10 list have higher raw scores than the global average (else they wouldn't be there in the first place), so THEIR scores are all getting higher through the Bayesian average.

I've been told that the Bayesian average system actually gives lower-ranked videos on the Star Scale <i>lower</i> scores the more star ratings they get.


Interesting. I guess I don't totally understand it myself. Not that I generally have to worry about it anyway. :P
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Postby downwithpants » Tue Sep 13, 2005 2:22 pm

me wrote:dwchang explained it pretty well in the site announcements thread

here's what i gathered:

Bayesian Average = (v/(v+m)) x R + (m/(v+m)) x C

(v/(v+m)): increases -> 1 as you get more ops. Example: 8 ops = .53, 100 ops= .93, 500= .99

R: This is your "score," what would have been used under the old system

(m/(v+m)): decreases -> 0 as you get more ops. Example 8 ops=.47, 100 ops=.066, 500 ops=.013

C: This is [the average score of all vids on the site] around 8, it won't change much.

Your Bayesian average is a sum of two parts.
(v/(v+m)) x R can be thought as the "certainty of your score." Your video becomes more "certain" with more ops.
(m/(v+m)) x C can be thought as the "uncertainty of your score." Your video becomes less "uncertain" with more ops.
As you get more ops, (v/(v+m)) increases and (m/(v+m)) decreases, so the bayesian average shifts towards R.
As you get a higher score, R increases, so the Bayesian average shifts towards a higher number.

http://www.animemusicvideos.org/phpBB/v ... 332#515332

me also wrote:i have a simple demonstration of the bayesian average.

let's assume the average score across all videos is 8 (i donno what it exactly is, but we'll just say 8 for now). under the bayesian average scoring you can think of every video out there starting out with 7 opinions each with a rating of 8. The first "real opinion" counts as the 8th opinion to get factored into the score. so you get 7 opinions with a score of 8, and 1 real opinion of whatever score the reviewer gave you. The second "real opinion" counts as the 9th opinion, and so on.

It's like in some classes the teacher tells you that you're starting with a "100" and you have to do well on tests and homework to keep that high average. well, in this case you start with an 8, and move from there depending on your real scores.

the purpose of the bayesian average is purely statistical. pushing more weight on to the real scores of videos with more real opinions. it's similar to how we reason. if someone told you all of the cats in her town were white, you'd be skeptical if you saw one or two white cats, but more convinced if you saw 100 white cats. similarly, if someone told you a video was good, you'd be skeptical if it had one or two ratings of 10, but more convinced if it had 100 ratings of 10.

http://www.animemusicvideos.org/phpBB/v ... 915#543915

OMG OBLIGATORY GRAPHS PEW PEW PEW!

fig 1. the site average is 8. your raw score average is 9.
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fig 2. the site average is 8. your raw score average is 8.
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fig 3. the site average is 8. your raw score average is 5.
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matlab code:
Code: Select all
x = (8:100); %Votes variable
C = 8; %Site score average
R = 5; %Video score average
m = 7; %Minimum number of votes
for i = 1:93,
    a(i) = ((x(i)/(x(i)+m)) * R);
    b(i) = ((m/(x(i)+m)) * C);
end
plot(x, a, 'rx', x, b, 'gx', x, a + b, 'kx');
axis([8,100,0,10]);
xlabel('Votes');
ylabel('Score');
title(['C = ', num2str(C), ', R = ', num2str(R), ', m = ', num2str(m)]);
legend('Video Average Component ((x/(x+m)) * R)', 'Site Average Component ((m/(x+m)) * C)',...
    'Total Bayesian Average ((x/(x+m)) * R) + ((m/(x+m)) * C)');
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Postby OmniStrata » Tue Sep 13, 2005 2:47 pm

Don't worry too much about that top 10% crap.

I'd rather have a video with 10k opinions rating average of 6-7 rather than all 10s...

But will that ever happen? Probably not, but one can try. My best vids have 30-40 ops. I don't think it's much but some say they'd kill to get at least half my op count.

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