There are 7 evaluation parameters for large coins, 8 parameters for big coins, 9 parameters for medium coins, 50 parameters for small coins and 8 parameters for situations where the same coins of different sizes appear on a canvas.

The lower the probability of an event occurring, the higher the value and the higher the final cost.

For example: any five coins in a line will add only 3 OHC coins to the canvas value, but if there are two such situations on the canvas, it will bring 7 OHC coins. Initially, 1 OHC coin = 1/10 US dollar, or 10 OHC coins = 1 US Dollar.

It is intuitively clear that the appearance of 3 averses in a line or 3 reverses in a line one by one on the canvas has more worth than the appearance of any 5 coins in a line. If we have one situation when there are 3 averses in a line on the canvas, then this will bring 8 OHC coins. If there are two such situations, then 61 OHC coins will be added to the value of the canvas.

For the situation, you can take into account for a specific canvas how many averses and reverses out of 100 small coins fallen out. For example, only 30 averses and 70 reverses have fallen out. In this case the value of canvas will higher if we get any combinations with averses. In this way, you can justify why your canvas is worth more than the value which was estimated by the standard statistical method. This topic can be developed.