Quote Originally Posted by hunkygladiator View Post
LMAO if you think data generating processes are taught in calculus or even remotely close to calculus or analysis you aren't a statistical expert.

The fact that ultra basic statistical terminology like estimators, consistency, unbiasedness, and DGPs confuse you makes one wonder whether you really understand biostatistics in any way. These are literally covered in a first course in mathematical statistics. We aren't even talking about Frisch-Waugh or asymptotic normality, or even anything related to causal inference.
A Data Gathering Process (DGP) is a relatively generic term for "something that generates data". Go roll some dice. Or flip pennies.

In the case of SteamCharts, the Data Gathering Process consists, as far as I can tell, of sampling how many players are currently playing a game. It's performed once an hour, producing 720 data points per month which are then averaged. 'Peak players' is a highest single data point over the month. An example: Current players on Steam is 31,317. The 24-hour peak, coincidentally, is 31,317.

So, we know how the data is generated for SteamCharts.

Given that, please walk through the proofs for your statistical analysis that there is a 70% drop in the number of players on Steam. Define your variables and provide instances of those variables from the data you chose.

I expect a full breakdown, mind you, rather than the handwaving and blather. Or, perhaps, you cannot actually justify that writing y = f(x,u) gibberish in the first case?