TheOptimizationIdiot - 7:22 pm on Mar 9, 2013 (gmt 0)
"The main point I'm trying to make is you're not seeing a huge drop going from 1 to 10 in any way."
We'll have to agree to disagree on this one.
That's not a huge drop in ranking position, cause as I pointed out previously, it's a difference in 0.09% of "score" awarded to your page (site) relative to the 1000 result "cap" on the index.
It's not a "huge scoring change" even though it may be a "huge traffic change", so making "huge changes to a site" is likely not the answer since the "scoring difference" is very small.
As far as the rest of what I said and why I look at it that way, I think people who read my previous TL;DR post will get a better idea of where I was coming from when I made that one, but like I said, fair enough and I'll try to adjust the way I look at it (for posting here anyway).
One thing I think quite a few people have forgotten or missed over time since the introduction of Panda is it's not simply a negative or "penalizing function" of the algo.
It's actually a re-ranking mechanism which means it "awards" positives, negatives and likely in some cases "neutral" or "near neutral" scores so you might "score even" or "close to even" in Panda (no significant positive or negative) and be passed by 3 or 4 sites that were close in the rankings before but "score positive" in Panda, which doesn't say "you got hit" to me, but rather says "you need to improve something" to "score positive" or "increase your Panda positive score" relative to the other sites in the niche.
There's a big difference to me anyway when you remember Panda is not simply a "negative scoring" or "penalty assigning" mechanism but is rather a re-ranking algo that can award positives and negatives.
Addition: One of the reasons I don't like referring to "small ranking position changes" as "getting hit" by Panda is "getting hit" has such a "negative scoring" almost "penalization" type connotation it seems to totally remove the possibility of other sites scoring "positive" or "more positive" than the site in question did from the equation and that eliminates half of the Panda scoring process from consideration as to the cause of a drop in rankings or traffic in my opinion.