So basically they don’t have enough time to play and that makes them less knowledgable. Keep on moving those goal posts.
I’m going to explain why your bias is factually problematic, and I’m probably going to lose you cause it’s going to be using math. I’ll keep the numbers nice and round and I’ll fudge the numbers a bit in your favor.
We know there are more than 3 million copies sold. Without specific numbers let’s use 3,000,000. There are on an average day 1500 players, and being as this is fairly consistent let’s assume all of them have lots of logged hours played. Where I’m going to fudge it is lets round up to 3,000. Not only does that mean more experts (in your favor), but it makes a very easy round number.
So 3,000 players out of a total 3,000,000 makes 0.1% of the total population.
I even googled it for you cause I doubt your ability to do the math. So with just this, right now, you are saying that 1/10th of 1% of the population should have a greater sway on the direction the game is making based on expertise. I can stop there but now I’m going to scream into the wind and try to explain what a bell curve is.
A bell curve, or normal distribution, is a symmetrical, bell-shaped graph where most data points cluster around the center (mean/average), tapering off equally on both sides to represent fewer extreme values. It’s fundamental in statistics, describing natural phenomena like height or test scores, and indicates that roughly 68% of data falls within one standard deviation of the mean, 95% within two, and 99.7% within three.
Why is this relevant? It’s safe to say you cannot listen and implement the ideas or suggestions of 3 million people, you wouldn’t even get through reading all of them. So it’s much easier if we axe the extremes and try to focus on the average customer, saves a lot of time and represents a larger percentage of the population; after all marketing is most effective when you reach a bigger customer base. It’s impossible for me to calculate what the median is, that data is solely something EHG can track. I could guess that the extremes are probably starting at hours played (not uncommon, there are games in my steam library I haven’t played yet), and the extreme on the other end is probably our 1000+. I can be fairly confident in this based on the maximum possible people playing and the current number of people playing being such a far cry off. Would you, as one of the 1000 hours played, feel slighted being cut from thr curve because you are at an extreme? Definitely, so why are you trying to do it on the other side too? Being in a minority doesn’t mean you are wrong, but it does mean you can be overlooked.
So, as a company, do you want to know what the 0.1% have to say and discard the rest because “they just didn’t get it and aren’t experienced enough to know what they like” or do you listen to the people who quit after 20, 30, 40 hours of game play and try to find out why?
You aren’t just saying “yea, sometimes people with less experience get passed over”, you are defending it.
There’s a saying “you learn something new every day”, and I gotta tell you it’s not a limit. In the case for you it might be, maybe read this post once a day until you learn something.