Why a strain name tells you nothing about the batch
By StashLog ·
The same strain name on two jars does not mean the same plant, the same lab sheet or the same experience. Why StashLog logs jars instead of strains, and scores on the terpenes you can actually measure.
Most cannabis apps are organised around strain names. You search "Blue Dream", you get a page about Blue Dream, and everything anyone has ever said about Blue Dream is averaged into one card. StashLog is built on the opposite idea: the name on the jar is a starting point at best, and the thing worth recording is the jar itself, its lot and its lab sheet. This guide explains why.
What a strain name actually is
A strain name is a label a breeder, grower or seller chose. Nothing in any state's rules requires two products sold under the same name to be genetically related, to share a chemical profile, or even to come from the same original seeds or cuttings. Names get reused, shortened, crossed ("Blue Dream × something"), and sometimes attached to whatever a grower happens to have.
Genetic studies have tested how well names hold up, and the results are not flattering:
- Schwabe and McGlaughlin (Journal of Cannabis Research, 2019) genotyped samples bought under the same strain names from dispensaries in several states and found that samples sharing a name were often genetically inconsistent, and in some cases more different from each other than from samples sold under other names.
- Watts and colleagues (Nature Plants, 2021) genotyped commercial samples and found that the indica and sativa labels did not reflect genome-wide genetic structure. The label tracked a small number of aroma-related genes far better than it tracked ancestry.
- Smith and colleagues (PLOS ONE, 2022) looked at lab results from a very large set of commercial US products and found that the common labels did not line up with the chemical profiles measured in the lab.
None of this means every name is meaningless. A well-kept cultivar from one grower can be consistent for years. It means the name alone cannot tell you whether you are holding that.
Same name, different lot, different sheet
Even when the genetics really are the same, the jar is not. Two harvests of the same plant can come out differently depending on how it was grown, when it was cut, how it was dried and cured, and how long it has sat since. Each of those shows up in the lab results.
That is why every legal package carries a lot (or batch) number, and why each lot is tested separately. The lab sheet for one lot describes that lot. The next lot of the same product, from the same grower, under the same name, gets its own sheet with its own numbers, and those numbers can move: a different terpene total, a different leading terpene, a different potency.
Labs add variation of their own. Jikomes and Zoorob (Scientific Reports, 2018) analysed hundreds of thousands of Washington State test results and found that reported cannabinoid potency varied systematically depending on which lab did the testing. Terpene results between labs have not been studied at anything like that scale, but there is no reason to assume they are more consistent. Comparing sheets from the same lab is the safer habit.
So the useful question at the counter is not "is this Blue Dream?" but "is this lot like the lot I rated highly?"
Why StashLog logs jars, not strains
In StashLog, the unit of everything is a jar: one product you actually had, with its brand, its form, its lot and, when there is one, its lab panel. A cart, a gram of rosin and an eighth of flower are all jars. Two eighths of the same strain from two different lots are two jars.
That choice has consequences all through the app:
- Your ratings belong to a jar. You score it twice: a first impression, and how it actually hit once it had time to land. The number on the card is the running average of the two. Your eight out of ten is about that lot, not about a name.
- Your crew's ratings sit beside yours on the same jars. When a friend logs the same lot, you can see exactly where the two of you agree and disagree, instead of blending your score into an anonymous average for a name.
- The lot ledger lines up every lot of the same product you have logged, each with its lab sheet, so you can see how far one product name moves from batch to batch, and which lot a rating belongs to.
Scoring on what you can measure
If the name is unreliable, what is left to compare jars on? Two things you can actually check: your own ratings, and the lab panel.
The terpene panel on a lab sheet is a measurement of a specific lot. StashLog draws it as the ring around each jar's score: one arc per terpene, each as long as its share of the total. Jars with similar rings have similar measured terpene profiles, whatever they were called on the shelf.
When you open a jar with a lab sheet, StashLog shows which jars you have already had carry a similar measured panel, and how you rated them. It does not claim that a terpene causes anything, and it does not claim two jars are alike because they share a name. It says, in effect, "this lot's measured profile looks like these jars, and here is what you gave them," which you can check against your own log.
There are limits to that, and they are worth being plain about. A terpene panel covers only the compounds the lab looked for, and research on cannabis aroma suggests some of the most distinctive notes come from compounds a standard panel does not measure. A matching panel is a good reason to try a jar, not a promise about it.
What to do with this at the dispensary
- Write down the lot number, every time. It is the only line on the label that identifies your jar rather than a product name.
- Ask for the lab sheet, or check the dispensary's online menu, and look at the terpene panel rather than the name.
- Compare against your own history, not someone else's average. A name you loved once is a hint; a lot whose panel matches the one you loved is a better one.
- Rate the jar, not the name. When the next lot of the same product turns out different, your log will show it instead of blurring it.
That is the whole argument behind the app: the name gets a jar noticed, but only the lot, the sheet and your own scores tell you what you actually had.