Random sampling is inaccurate just as vaccines cause autism, the moon landings were faked, and the earth is a flat disk, carried through space by a gigantic tortoise. Have they stopped teaching statistics entirely in public schools?
The problems with the Steam survey is that it is not fully random; it's a sampling only of those who opt in among its own user base. This causes a significant degree of sample bias if you're attempting to measure "the PC community at large". If you're measuring the enthusiast gamer market, whom (it is my understanding) most of which utilize Steam, its significantly more accurate. Even here though, the opt-in requirement causes a small but perceptible bias towards higher-end systems.
You...really shouldn't try to explain statistics. It's much deeper than you give it credit for, and your statements are patently wrong on most levels, while only hitting the very frailest definition of right.
Let's take the bad argument of "random sampling is wrong" and dig in. Let's do it with some basic numbers, acknowledging that they are much too small but will be tolerable so I don't have to whip out huge numbers. You have a sampling size of 100 respondents. The actual size of potential people that exists is 1000. You extrapolate data from the 100, is it accurate? My hint here is that the answer is not no. There is a question whether the sampling size accurately represents the whole, and there is a question of whether the sample taken is truly random.
The answer here is that the 100 sampling size isn't representative of the 1000 exactly. Assuming you are truly choosing at random, there's no problem in stating THE MARGIN OF ERROR, which is an extrapolation of how much bias goes in. Funny that you'd use the steam survey...because their data is expressly shown as percentages instead of quantities...almost like any good statistician would immediately dismiss this as capable of any concrete numbers because they could either be 1000 people or 1000000....but most people do miss that LOW BAR.
You then bring up a bias for higher end systems, as much as can be expected from a voluntary survey. Quantify. Oh right, you cannot because you have no merit is pulling that out of your backside supported by percentage data. Cool. So...your data is garbage, we cannot calculate a margin of error, what do we do? Right, in your magical situation we just throw out data.
Let's answer your premises in order then, for the TL;DR crowd:
1) Random sampling isn't random sampling when you have % of sample data and no way to quantify margin of error with no known sampling size. You fail math, it didn't fail you.
2) Autism was reclassified as autism spectrum disorder at the same time as the anti-vaccination movement came about. Again, when your qualifier open up wide in conjunction with a non-scientific movement it's really easy to prove an uptick in AUTISM SPECTRUM DISORDER coinciding with vaccination increases. Correlation is not the same as causation, and humans are irrationally protective of their offspring because of our evolutionary path. Trying to explain this to a mother trying to shield her offspring is silly, because the 1% issue rate (and I am way over estimating this
Vaccinations) framed as possible overrides the 99% chance of not hurting the offspring, because if they are that 1% they'll scream at everyone just like the anti-vax crowd did.
3) No comment.
4) This...is not Disc World. It's funny that you want to make that claim...but more than 2335 years later people still believe. My counter to your argument is that today there are benchmarks that demonstrate that 8GB isn't enough VRAM for applications...so as much as you want to tar and feather your opposition for a view you disagree to you might also want to check whether you are standing upon facts or assumptions which are based upon historic truths.
Statistics sucks. Please stop pretending like you understand it, because I will guarantee somebody smarter than you already had the same idea and either has a postulate or mathematical calculation to address your simplification. Confidence level, and margin or error, make statistics as fundamentally solid as any other discipline assuming that you express these values and do the basic calculations. Just because you're ignorant of the solution doesn't mean there isn't one. This is why statisticians exist...and why they are some of the people who could greatly benefit from Nvidia not cheaping out on VRAM.
Edit:
I see your point - I just see no purpose in blaming either the card or the game. If you want to play TES4 Remake, you'll have to make do with whatever settings give you a performance you're comfortable with.
The Steam survey is flawed for being random. It is not an accurate measure of market share by any means.
Sure, that's why it's so consistent month after month. Random sampling is standard for industries and provides accurate measures in every other field, but in PC hardware it's simply not reliable...
And other copes.
Neither of you guys seems to get the core issue. Pay attention to the numbers. What don't you see?
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That's right, sampling size. How many did Valve query? How many pieces of hardware were represented? You've got no answers, because there's no numbers. There are percentages.
If you could say that 4.6% of people ram on 4060 mobile GPUs, and that represented 1,000,000 surveyors, and you extrapolated the population size at about 6,000,000, it'd be a pretty dang good representation of the entire group.
If instead 4.6% represents 1,000 or a 6,000,000 size the margin of error would invalidate conclusions. So...the problem is that Valve intentionally obscures data and you are extrapolation based on bad inputs. If I was trying to be funny I'd joke that this is the exact issue that we see with interpolative frames, but I feel you might not have a big enough buffer to store that data.
ba-dum-tish (drum roll noise)
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