dTal
Member
- Joined
- May 1, 2016
- Messages
- 34
Well, this stats game is addictive. Here's my analysis.
We are not looking at a single curve. This is the superimposition of at least three different demographics.
Demographic 1: The people who were poised over the keyboard ready to order as soon as they were allowed. This is viewable as a virtually instant spike. Eyeballing it, I model this as 130 people.
Demographic 2: Forum members (who didn't order within the first hour). As far as I can tell, this is about 350 people. I arrived at this by assuming that all of those ordered in the first 5 or 6 days, and treating the curve at that time as linear and finding its y-intercept. I model this as a step response with a time constant of 1.3 (eyeballed): 350*(1-e^(-x/1.3)) . This part could probably stand to be tweaked a little more but it's unimportant.
Demographic 3: Everyone else. The tricky one. Initially, this appeared linear, but in recent days a falloff is becoming apparent; I decided to model this as a step response as well. From day 5 to 15 roughly 12.65 Pyras per day were sold - I will conservatively round this *up* to 13 and treat it as the initial slope for the step response, which makes the equation 13*n*(1-e^(-x/n)), where 13*n is the total number of non-forum goers who end up preordering. I experimented with different values of n to achieve the best fit with the observed falloff - 50 worked well, for a total of 650 "outside" preorders. Rounding the initial slope down to 12 and making n=70 make a slightly more optimistic final prediction of 840 "outside" preorders. These are pretty much the outer limits of the model, so it's not all that sensitive to the exact numbers you pick.
Putting it together: my prediction for now is that Pyra preorders are described by the curve P(t) = 130 + 350*(1-e^(-t/1.3)) + 650*(1-e^(-t/50))
On this basis, I predict that we will hit 800 preorders sometime around day 34, and 900 sometime around day 52, should preorders stay open that long. Total preorders are unlikely to exceed 130+350+840=1320.
Obviously, real life is not math, and I will be quite surprised if this turns out to be accurate. Nevertheless, here's a fun graph showing the fit:
We are not looking at a single curve. This is the superimposition of at least three different demographics.
Demographic 1: The people who were poised over the keyboard ready to order as soon as they were allowed. This is viewable as a virtually instant spike. Eyeballing it, I model this as 130 people.
Demographic 2: Forum members (who didn't order within the first hour). As far as I can tell, this is about 350 people. I arrived at this by assuming that all of those ordered in the first 5 or 6 days, and treating the curve at that time as linear and finding its y-intercept. I model this as a step response with a time constant of 1.3 (eyeballed): 350*(1-e^(-x/1.3)) . This part could probably stand to be tweaked a little more but it's unimportant.
Demographic 3: Everyone else. The tricky one. Initially, this appeared linear, but in recent days a falloff is becoming apparent; I decided to model this as a step response as well. From day 5 to 15 roughly 12.65 Pyras per day were sold - I will conservatively round this *up* to 13 and treat it as the initial slope for the step response, which makes the equation 13*n*(1-e^(-x/n)), where 13*n is the total number of non-forum goers who end up preordering. I experimented with different values of n to achieve the best fit with the observed falloff - 50 worked well, for a total of 650 "outside" preorders. Rounding the initial slope down to 12 and making n=70 make a slightly more optimistic final prediction of 840 "outside" preorders. These are pretty much the outer limits of the model, so it's not all that sensitive to the exact numbers you pick.
Putting it together: my prediction for now is that Pyra preorders are described by the curve P(t) = 130 + 350*(1-e^(-t/1.3)) + 650*(1-e^(-t/50))
On this basis, I predict that we will hit 800 preorders sometime around day 34, and 900 sometime around day 52, should preorders stay open that long. Total preorders are unlikely to exceed 130+350+840=1320.
Obviously, real life is not math, and I will be quite surprised if this turns out to be accurate. Nevertheless, here's a fun graph showing the fit: