Whole Flower Value Calculation

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I feel like there is a time and perspective where quality can be measured exclusively. For instance,  if you enter cannabis in a contest, a judge will rarely ask about time to produce, or cost associated. The judgement is exclusive to quality.

Much of the work that I like to do here exists outside of the space described above. Where quality is a function of time, resources, and work; with time, resources, and work being a function of money.

This starts with a qualitative function. This topic of quality is covered in a previous post.

Here, we use the sum of the qualitative measures divided by the price per gram paid to calculate a value measurement for each offering. I’ve summarized the qualitative elements from each whole flower review as per the table below:

Quality Portion Good Neutral Bad
Visuals 3 1 0
Feel 3 1 0
Scent/Taste 7 2

0

The value calculation is the sum of the qualitative elements, divided by the price point fo the cannabis. We’ll explore a few parameters of this calculation, and then look at how it applies to the offerings I’ve reviewed.

Value

Value is: Sum of Quality (Visuals + Feel + Scent + Taste)-(Package Size x Variance from Benchmark Average for the Package Size) รท Price Per Gram

Topics include:

Value Calculation Summary

Value by Rank

Value by Vendor Type and Vendor

Value by Brand and Producer

Value Over Amount Purchased

Value Calculation Summary

First we look over the value calculation with respect to a few common dimensions in the database.

Across all views, high sum quality offerings are shown in blue, low quality offerings are shown in orange.

Distribution of value is shown top right. Most of the data points are found below 1.5 with the low quality offerings dominating the area between 0 and 0.75. The average is 0.8 (currently). High quality offerings begin to become prevalent at 0.8 to 1.5. A few low quality offerings appear above 1.5. Only high quality offerings appear above 2.0.

Value as a function of the price point is shown bottom right. As price point decreases, value tends to increase; and the inverse is true as price point increases (although the curve is less steep in this direction). 

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