Quote:
Originally Posted by Ravenblade1979
Ok plain and simple have you included ALL variables before you started arguing about this. Its not as simple as you think.
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I'm using simplified models, but they're models that more complex models can be reduced to. For example, most slot machines don't work on the simple premise of win/lose. There are different degrees of winning/losing. For example, for a payment of 500 plat, the probabilities might look like this.
5% chance of 10000 tokens
10% chance of 3000 tokens
15% chance of 2000 tokens
20% chance of 1000 tokens
10% chance of 500 tokens
40% chance of 0 tokens
This requires us to use a different approach to the calculation of the conversion rate, but it's still not difficult to calculate.
For 1000 plays (they don't need to be 1000 plays made by the same person, just 1000 made between the entire playerbase)
Approximately 50 will be 10000 token wins. (Approx. 500,000 tokens)
Approximately 100 will be 3000 token wins. (Approx. 300,000 tokens)
Approximately 150 will be 2000 token wins. (Approx. 300,000 tokens)
Approximately 200 will be 1000 token wins. (Approx. 200,000 tokens)
Approximately 100 will be 500 token wins. (Approx. 50,000 tokens)
Approximately 400 will be 0 token wins. ("Approx." 0 tokens)
Total tokens won = approximately 1,350,000 tokens. Now, it's highly unlikely that
exactly 1,350,000 tokens will be won, but
almost completely certain that it will be a number very close to 1,350,000 (in terms of % deviance).
Assuming a conversion rate of 10,000 tokens = 1 EC, 1000 plays would add approximately 135 ECs into the economy (A conversion rate of 3703 plat = 1 EC). Though the conversion rate can easily be brought up to the "ideal" 10000 plat = 1 EC by making the token conversion rate 27005 tokens = 1 EC (in which case approximately 50 ECs would be added to the economy for 1000 plays/500,000 plat spent).