Welcome to the cannabis data science meetup group. Glad to have you all here in for a
treat today. Gonna get our hands on some data and picking up from last week be looking at
Benford's law. This was new to me. Our good friend Isaac at MCR labs brought this up as
an interesting tool that we could perhaps use a statistical tool. Did a bit of research. It looks
promising. Got some great statisticians behind it and so wanted to share with you what I've learned,
how we can apply it to some data and get your thoughts about moving the ball forward. That's
the plan for today but just to go ahead and you know give five minutes let everybody say oh you
know what you may hope to get out of the group. I'm gonna start in reverse order today that way
our new friend here Christina doesn't have to be put on the spot. Candice excited to see you today.
Love the hat. Would love to hear about your adventures in the past week. If you were able
to get any data science work done and what you're looking forward to in the coming weeks to finish
off the year strong. Well that's a doozy. So yes so I'm going to be working on parsing a new lab
and also too I'm gonna be putting up my presentations, my plots with Seaborn and
I've been checking out two the YouTube videos that you posted Keegan. That's really great. I did get
to Florida and I did go to Kana MD and so I'm renewed. It was pretty interesting I was talking
to my doctor about some of the things that I was learning with MCR Labs and Jeff Haas and over at
Harvard. We had an interesting discussion and but he also gave me some good leads too for some good
flower in Florida and because it's kind of interesting that you know I joined some user
groups and actually somebody broke open a fresh product from the state of Florida and they showed
me pictures. I have copies of the pictures. It has mold in it you know it's like visible like you can
like pull it apart and I don't know it's uh but anyway so I'm going to be getting some COAs from
Florida also. Well it's not fantastic but it's quite interesting to hear you on the ground in
Florida telling it how it is and mold is an interesting thing because from being in the
laboratory and in fact we'll look at this today not all analyses are taken as seriously as others
unfortunately. Coming at it in an economic lens people have to prioritize and a lot of the priority
goes towards measuring cannabinoids really really accurately and tests like micro detection,
microtoxin screening that may get pushed to the back burner. However from seeing some of the
unintended consequences one thing that is a little concerning to me is that some large-scale
cultivators are seeing this as a cost which I pointed out that it was a while back right you
have to factor in the probability that you may fail a test and that's a cost and if you don't
factor it in you could run into the red with your business. However some of the large cultivators are
thinking okay how can we prevent failing say micro testing and there are various treatments out there
as we know with a lot of things you know how well studied are some of these things and so just to be
to be frank some of the ones going from from least concerning to more concerning pressure
oxygen deprivation perhaps to treating the product with ozone and then Candice I think you mentioned
at one point radiation and those are the ones that are slightly more concerning to me while they may
be say chemically sound I don't know I just wouldn't wouldn't mind a bit further research myself
so that can be an unintended consequence of mandated micro testing but as Candice you pointed out
mold is a thing right and no one wants moldy cannabis flower the consumer may want a reasonable
expectation that their products won't have mold in them so what to do about that. I forget the name
of it the disease but it's like some type of disease that I think people get in agriculture
and from breathing in mold I'll have to nail it down you know I mean it's a new industry and it's
awesome cannabis is amazing right compared to big pharma and people can really get off a lot of
drugs Keegan right and with cannabis but then also too you know it's like yeah they really do need I
think they need transparency we need open data sets in Florida and Massachusetts that's what we
need so that the watch dogs right can help keep an eye on the system like Jeff Haasen says right
well the federal government right the FDA do we really we us kids in the states we need to play
good and be transparent and have the data out there so that the federal government doesn't turn
around and turn it into tobacco or you know because it's funny because like my first review with
pure leaf that's still up there a year ago talks about how I'm getting this nice organic cannabis
and stuff right and wow what I've learned right because that's really how it sold to us patients
you know and and I get it because I was kind of doing the same thing you know that review is still
up there I don't know it's it's just so cool just to know right to just be aware of you know possible
health problems and then too I don't know how they would fix that because uh you know what I
was saying in that picture looked just like uh when I put the predator mics on the uh for my
spider mics that somehow came in on my hydrogen peroxide clone right you raised a couple good
points that have sparked a couple thoughts but before I get to those anyway I'm taking the floor
we'll get back to you Candice I just wanted to let Isaac chime in wouldn't mind hearing your thoughts
on this this microbe yeah I just want to add something uh from the lab's perspective I mean
well each state all require an array of testing right heavy metal uh more uh eastern mold and
other bacterias and but I can attest that uh east mode is among one of the most challenging
essays for clients to pass even if they are huge dispensaries I would say at least half of them
do struggle with the issue so it's uh I'm not surprised that you're finding uh uh flowers with
literally visible mold on them I mean that I've heard that happen from time to time and also
from another perspective uh is the health of the worker if the growing room is contaminated by
uh mold or some kind of bacteria uh the workers are at risk of getting respiratory diseases
as a matter of fact uh last year there is a uh worker in one of the dispensaries unfortunately
passed away and the investigation is still ongoing but uh the direction is toward the link between the
mold contamination in their grow room and her unfortunate passing away so it's also to the
uh workers in the industry you're Christina are you going to chime in before I ramble on um I guess
what concerns me this is about concerns right because what concerns me is the um some of the
some of the strains are getting contaminated I don't know if by chemicals or another strand that
kind of it doesn't go well with the strand like if I were to buy an ACDC right and it's not
completely clean the strain for me it's very important because I have epilepsy and terpene
terpenes they matter to me because one terpene can make a big change in my um my body you know
and I don't want to get a seizure because of a strand being contaminated and um um I live in
Seattle like the Seattle area there's this little shop where I bought a strand and it was indeed
contaminated I got I started to see like weird things and it was just not a fun moment so like
I don't know if that's common or not you're spot on in in the right place because this is the exact
topic at hand that we're talking about in that when you go to a retailer what are they going to
be selling to you they're going to have the the strains labeled oh ACDC or this or that um and
then they may have some of the chemical compositions labeled you've learned that okay ACDC works well
for you and what we're trying to do is tie some of these real life situations with the data and the
best lead that we have is why is ACDC effective for you perhaps it has something to do with the
unique chemical composition of ACDC so we want to get a nice measure of those chemicals because
we're so at the frontier essentially no one consuming cannabis except for maybe a small
minority of people actually know the milligrams of various chemical compounds that they're
ingesting luckily you're in Seattle so there are good testing laboratories in Washington State
and so what you may want to do in fact in Washington State it is required that you may want to ask for
the certificate of analysis when you when you purchase a product then you can keep track of the
chemicals that you're ingesting it would be awesome if the product was tested for terpenes
that's not required but some people do test their products for terpenes that that's kind of concerning
concerning aren't the the products supposed to already come with the terpenes is if that's what
i'm actually purchasing well you raise a awesome point that wasn't really taking into consideration
until late in the game so long story short when cannabis was first legalized right so it was
permitted in Washington State back in 2012 and so originally people were thinking what are the main
psychoactive components those are going to be thc and cbd well since 2012 it's been a decade
10 years of scientific research people have discovered more and more compounds and it's
looking like other compounds may have some significance right maybe not all of them right
maybe chlorophyll may not necessarily have a good or a bad effect but people are discovering oh
there's beta-cariofoli and these also may have effects last comments and then i'll let Isaac
jump in and i was just going to say certain states are starting to realize that we may also
want to measure terpenes i think Oklahoma they're mandated it was sort of an unusual mandate but
they are tested there and before i keep talking i would love to get Isaac love to hear what you
have to say yeah thanks i just want to add that uh dreams like gg4 because cannabis has been
underground for such a long time and the readings are all very messy and and and it's almost
impossible to trace that to the original gene so there are a lot of dispensaries or seed banks they
can claim that their flower is gg4 or if it's blue dream but they're really we don't really have a
reference or a standard or certification okay this is the gg4 phenotype i've actually done similar
analysis of uh using uh principal component analysis just to plot of for example all the
gg4s we receive from different growers and they do appear uh triable so uh one client or one
dispensary's gg4 is likely to be different from another client that's very difficult for
consumers like you to know exactly what what you're purchasing and i think this leads naturally to
what keegan was talking about to measure or to get exact chemical profile of a strain and then
using this more scientific categorization rather than relying on a name which at the moment any
seed bank can claim that their seed is this strain but they might not i'll just keep piggybacking on
that in that let's say strain names the best we have it's a far far from perfect tool but like
you said it's at least getting you on the right track so okay acdc the strain appears to have a
certain effect for you and from my understanding of this strain that it could even be a what's
called a type two or where it's almost an equal thc to cbd ratio it's very equal exactly so i think
there could quite easily be something going on with the the unique chemical composition of that
we're still we're working on this we're going to get to the bottom of this because as isaac said
and it's real peculiar because there's a real disconnect between say the laboratories and
the breeders and maybe there's not as much disconnect as one may think um it may it may
be more of a show all the breeders right isaac said so if you're the breeders are selling their
seeds by strain name and this is something that i wanted to get into what maybe this week but it
was looking like next week's going to be the week is actually looking at some of the the seed vendors
and looking at their history because there's a really really cool history there and all of
these strain names have cool histories but the kind of names and as isaac was saying they're not
set in stone right anyone can grow any weed any cannabis plant and just and call it acdc so that's
the trouble behind it the interesting part is perhaps there is a variety that tends to have
equal distributions of thc and cdd perhaps people kind of want to call that acdc at the end of the
day i think what you want to be concerned about is what you're ingesting and and those will be
the chemical compounds you may actually end up finding another strain and so for example
you know there's canatonic or this or that yeah i like canatonic exactly that also have a similar
chemical composition that was with some of the work we were doing earlier this summer with product
recommendations we're saying oh you know if you gravitate towards this one strain then you may
just want to find a strain that's as chemically similar as possible okay it's imperfect but at
the moment it's you know the best we can do until we can get better hold of this data you know get
it into your hands let you start learning about what works well for you it'll be a slow process
but hopefully there'll be a feedback loop where you know maybe certain growers will start growing
specific cultivars with specific chemical compositions and then the retailers know how
to label this to get it to you to get the intended effect i have one more question well i have a bunch
of questions but on that i'm looking for new strands i know there's one called corazón and
that's from yerbabuena farms up in oregon and one of the parent strands strains is acdc and the other
strain is unknown there's not a lot like research done to it yet but is there a way that you guys
have connections as to how to look for these strains that are not well established yet like i
want to get a hold of this strain but i don't know how right so i just sent in the chat the best kind
of seed genetic website that i have uh give that a try like go directly to the website and request
it there no the website is like a database so you can search for different strains and see their
histories if that's part of the archive what's the website called i would love it thank you
uh en.seedfinder.eu perfect thank you i really appreciate it it's not the most polished looking
website but it has a wealth of information that overwhelms everyone that is okay all right i'll
look into that thank you oh make sure to to come back to this christina since this this is interesting
i'll try to just run through this super super fast for isaac what's it while you're here just wanted
to to share this book came in the mail hemp diseases and pests so this is a an old one it's
interesting right so right the consumers are often concerned about effects but the cultivators are
often concerned about diseases and canons are plagued by many diseases so you know these molds
are a real concern they're of a top concern to cultivators i think we'll want to to talk more
about that i'll i'll run through this super super fast last week isaac brought up benford's law
which is basically when you look at data sets coincidentally in it it's not necessarily
coincidentally i think it's a statistical phenomena different digits occur at certain probabilities
and they follow a certain distribution and so here's the distribution you know one it will appear
around 30 percent of the time we don't have to get too much into the math but you're welcome to
so this was noted way back in the 1800s and then really made concrete in the early 1900s by frank
benford so i'll let you read about this his main contribution was getting many different data sets
and analyzing all these different data sets that made me think of the cannabis data science group
how we're getting many different data sets and applying statistics to them okay what's going to
be required for this we actually want a wide range of numbers if you have a narrow range it's going
to be difficult to show this so so we'll just kind of point that out now and then what are some cool
applications of this if you don't know him halvarian is a famous economist statistician
and he was the one who put forward that this could potentially be used to detect fraud isaac pointed
out potential well not potentially there are cases of laboratory fraud in the cannabis industry and
we would want some mechanism for detecting if a lab result is fraudulent or perhaps if it's probable
that it's fraudulent just from reading the rest of this my main takeaway is that this is a good
mechanism to know what looks suspect and where you may want to look further but i don't know if it's
definitive proof but i think it can be a useful tool about where you may want to look further
the last thing i wanted to point out we actually are running into the problem actually here i'll
point this i'll i'll talk more about this here here momentarily so that's benford's law in a
nutshell different digits appear at different frequencies and if digits don't appear at that
frequency then one may be suspect as to the underlying distribution that's generating the
data so there may not be a nice random underlying generation but this is my really really crude
first take so isaac please feel free to correct me at any point but i want to go ahead and get
through this data to go ahead and kind of get you out of here on time so long story short we have
lab results from washington state in 2022 1.6 million compounds were measured so for example
what does a compound look like this was somebody who tested for microbes this sample actually
failed for microbes it looks like we were interested in say total thc here is the distribution of
thc in cannabis flower in 2022 and this is the phenomena that isaac was pointing out in that
presumably this mode is flower samples and it doesn't appear perfectly normally distributed
and it perhaps may even be skewed towards above 20 i think there's better examples of this but
but that's sort of what we claim just to look at a couple more analytes there's a distribution of
cbd here is your distribution of moisture content and this is more applicable in other states where
lab results are corrected for moisture content i'm not certain if they are in washington state or not
you're really looking for anomalies or non-normal distributions at this stage and one thing i'd like
to point out is you've got this curious mode at 10 and so it looks like for whatever reason some
laboratory may just be reporting just 10 for their moisture content whereas other labs may
be a bit more granular and then water activity this is sort of a measure of shelf stability
and curious thing here is right the limit is 0.65 and this may just be just how the distribution
shook out but you know one may kind of wonder if you know things are kind of being you know slid
under or the 0.65 limit but once again as far as the distribution goes it's looks fairly normal
now quick application of benford's law benford's law requires us to span at least a 10-digit range
so we could do it with thc but it would be tough we wouldn't meet the assumptions required for
benford's law with the other analytes i don't know if this is acceptable but what i did was i just
grabbed the first decimal place for example if you look at thc you'll see most people are reporting
whole numbers so zero is going to occur a lot and then i was also just looking at the first decimal
place here once again this is sort of my quick and dirty attempt at this i don't know if this is
an unacceptable way to implement benford's law but if you look at the digit occurrences
one through nine you do curiously see the decreasing probability of digits it doesn't look
like you know they decrease in probability at quite the same rate as benford observed
but it is interesting that you you see this distribution because if you look at some of the
other analytes well check out cbd cbd diminishes at even further rate i think this is a first
interesting observation is that thc and cbd for whatever reason have different distributions of
digits but they are both are are diminishing which is interesting if you look at moisture content
you'll see almost a uniform distribution so if every digit occurs at the same probability
that would be called a uniform distribution and it would essentially imply that the results are
random i don't know what's going on with moisture content but this looks like it requires further
investigation because it almost just looks like people are just randomly selecting moisture
content or at least the data generation process maybe we may need to think further about the data
generation process and then even more curiously with water activity once again this could just be
something about the data generation process it could just be something unique to cannabis flower
but once again you don't observe benford's law with the digits you see the digits increasing
in probability to four and then decreasing in probability once again this may be a violation
of benford's law so whereas thc and cbd which curiously we thought oh maybe those would be the
ones that were more likely to be falsified curiously and i kind of brought this up at the beginning
that people are putting such great focus into measuring thc and cbd then maybe they actually
are measuring thc and cbd well and maybe little emphasis is put on moisture and water activity
and they may just be just writing down random numbers and when a human writes down a random
number then the digits won't follow benford's law and so that was just curious but that was the
analysis of benford's law this is a start and i would just like to point out that you may need to
take the log of these numbers so so that's a downside and as i pointed out i'm using the first
decimal place and that's also perhaps imperfect but i thought this was curious so i'll kind of
let people think about that what if this is actually one lab that's just doing this but if
you look at all the different laboratories they all sort of have this weird pattern for water
activity long story short is i don't think it's a specific laboratory that is doing this it appears
that all of the laboratories are experiencing this phenomenon awesome so this is total thc by
laboratory in washington state in 2022 and as you can see this appears to be the flower mode and
this would be the concentrate mode i'll just point out what i find interesting so okay lab 10 lab 11
look quite similar you know lab 2907 is interesting in that they're the only laboratory that has a
a triple mode so they've got a mode around say 50 so maybe they do a lot of teeth or bubble hash
testing that's a possibility i'm just kind of curious then lab 2908 they have a similar
distribution lab 2909 it looks like they do significantly fewer concentrate tests there's
only a small tail down here nothing's actually jumping out at me about 2911 those are pretty
normal distributions right and they're they're different right and so these would be the different
this is actually a good example of two different normal distributions with different moments if you
cut this into two different distributions you know this distribution may have a larger variance
it's going to have what's called greater kurtosis so fatter tails probably the thing that jumps out
to me about 2912 is that maybe their mean of concentrates may be slightly higher but as we
said there's nothing really consequential about having a different mean there could be perfectly
normal underlying explanations so for example perhaps there's a distillate maker and they
simply love to use this laboratory so that could easily just explain this concentrate tail whereas
the bubble hash makers may prefer this laboratory so there's just different underlying causes there
the final thing i wanted to point out here we're not like pointing fingers but i'm just explaining
what cultivators may look at and this may drive market dynamics as we discussed last time okay
so you've got two laboratories here 2913 2914 well you can tell from these distributions are 2913
appears to have a wider variance in flower and their mean appears to be slightly lower than the
mean of 2914 so if you were a cultivator and you saw this data right you sent in your samples to
all the different laboratories well at the end of the day you're trying to sell your cannabis flower
and if you've known they may have noticed that cannabis with the higher thc sells at greater rates
and so if they were comparing these two laboratories they would say oh you know this laboratory
looks like on average we may have higher results and we have a lower variance on average you know
and with lower variance our thc may test higher at this laboratory once again there could be other
underlying mechanisms here as we discussed the different clients using the different labs if
that were the case then you may see people leave laboratory 2913 go and use lab 2914 over time more
and more people use lab 2914 and the methods kind of standardized towards this so that's sort of the
concern about lab shopping is that you know any lab with the slightly different variance as we'll
show later these may actually be surprisingly in the same ballpark so as you can see the lab that
tests the most samples you know has a mean of 22.26 and a variance of around 21 so you could do a
difference in means test between all these different laboratories and see if any of them have
you know statistically different means but as I said that's not really going to take you too
too far and in fact there could be perfectly good explanations for this so for example you know lab
11 they're only testing almost 200 samples level of magnitude different so lab 10 their mean is
significantly different you know perhaps they just have an entirely different type of clientele so
that's what's going on with THC just wanted to point out the other compounds for you real quick
because it helps to look at a bunch of different distributions the distribution and CBD by laboratory
2907 has a really really wide distribution so here's an interesting one so this one is
you know not quite a normal or logarithmic distribution if you were this laboratory you
know you may want you may be looking at the other laboratories and think oh you know maybe you know
maybe there's something different going on with our method however lab 2913 also has this interesting
distribution once again this could just be something unique about the clientele of these
two different laboratories and then once again lab 2914 is a really wide distribution of CBD and so
my takeaway from this is that okay let's say you were growing CBD rich flour you may not want to
use you know these laboratories that have a really wide distribution of CBD because it doesn't look
like these may necessarily be accurate say right you've got 10 laboratories and you know eight of
them are measuring in this manner appears that those may be the laboratories that have the the
more precise method i'm not certain what's going on with with those odd distributions so you could
ask the laboratory about it or pick one that has a slightly more normal distribution that's how i
would approach it so here are moisture content values by laboratory and as you can see they're
actually all over the place they're at least different they're quite different distributions
from lab to lab and i think this is something interesting to point out in that we may have
been quite critical about the THC and CBD ratios but everything's relative so we were just looking
at those analytes so yes the distributions may have looked slightly different but they're all
generally in the same ballpark similar looking distributions they started to look a little
different for CBD but good sign for measuring cannabinoids however when you look at say moisture
content it looks like the laboratories are fundamentally just testing differently right
so you've got lab 10 lab 11 lab 2907 is measuring moisture more on this end of the distribution
or or on this end of the scale same for 2908 then lab 2909 you've got this really peculiar
distribution at a different scale really than 2908 lab 2910 looks slightly different than the
the other ones it's the most similar to lab 10 it looks like then lab 2911 is is pretty similar
to 2910 2912 has what appears to be you know the the most normal of distributions however it does
have a you know a skewed tail here that's a little interesting and then 2913 you see slightly a
slightly peculiar distribution and only ever slightly but it's similar i would say to 2912
and that except for this oddity and then 2914 is once again it's kind of similar but it also has
oddities around this end of the distribution what this would indicate to me is you know maybe
there's something going on with labs 2913 and 2914 how their method is testing above 10% moisture
and once again there may not be anything nefarious about this it just maybe they may have their
instruments calibrated at a certain part of the scale and so they may just need to maybe we just
need to look at how our method is testing moisture content above 10% similarly other labs may say oh
maybe we're you know structurally testing moisture differently so maybe the laboratories can come to
a consensus on what the appropriate method to to test moisture is and they can all have their own
proprietary takes but would it hurt for them to at least agree upon you know around like what
scale of this moisture thing should be on because it looks like these labs think moisture should be
measured in this manner and then these labs think that moisture should be measured in this manner
let's just look at the last one just to be complete and that would be water activity and it's measured
in peculiar units on a scale of zero to one it's measured in aw so here is water activity they're
not perfectly normal distributions i was going to say they're not that bizarre um i guess with
with chunks out okay so right off the bat 2907 is slightly lower 2909 has a peculiar double load
2910 that's a pretty normal distribution just really really wide tails high variance probably
high kurtosis nothing wrong with that that may just be how moisture is in cannabis here's 2911
slightly less variance a bit more of a skew 2912 quite skewed and their mean looks more similar to
2907 and then once again 2913 and 2914 are slightly different and so if you look at them as a whole
they're not wildly all over the place but they are slightly different on first sight they appear to
be more different than the thc distributions that's subjective but that's my take once again
you've got to weigh the costs and benefits obviously people care most about the psychoactive compounds
the thc and the cbd but as you pointed out at the beginning you do need to be concerned about the
shelf life of these products right you don't want things molding on the shelf we'll get more into
microbes and micro toxins we have those results so we can look more at those but i think the take
away from today is you know washington state may actually be doing a fairly good job at measuring
thc and cbd and they may simply need to relook at some of the more minor tests like moisture content
and water activity because those are the ones that actually look anomalous versus versus just the the
thc and the cbd you know maybe they can get around to it now that they're stabilizing their
cannabinoid method so that's sort of my big takeaway from the day remember we've seen all the
the peculiar plots and now you see the thc again by laboratory and once again this laboratory has
a peculiar mode in the middle maybe there's a perfectly good explanation for that and then
once again the mode that we're the most concerned about that as far as fraud goes would just be
the thc mode and from looking at all the other modes yes there may be slight variances in in
variance and mean but they're generally in the same ballpark but as we've pointed out small
differences matter i don't think this is the end of this analysis but i think this was a interesting
take on the data well i'll let you in on the future work that needs to be done we're looking
at the traceability data in washington state and so this was our first take on looking at the
laboratory results we still have to get through all the inventory the strains the sales a lot more
data to crunch and as you were pointing out it's awesome having this open data well you need good
people good data scientists to actually crunch the numbers and this is golden data that's just been
sitting around in the open and i haven't seen anyone do a really really thorough analysis of it
and that's exactly why the cannabis data science team and canlittics are here so over the coming
weeks let's put our minds together organize curate and analyze this data because it's just sitting
there right for us i think we can answer many cool interesting questions with it so let's embark i
think it's going to be a lot of fun sounds awesome you know i was just like looking at my whiteboard
because i happen to have like the uh all the fields and files for the erd i was going to do
washington state that's still on my whiteboard it's been there since last winter but you do so
much you know we're good it's so that's great we're coming back to that because there is a lot of
data in washington state there certainly is you know how we are we're the tortoise so it may have
been a year but this data no one else has looked at it so that's sort of what's crazy right it's
been almost a whole year and no one's looked at this data because it's such a daunting task and
in fact i was reading a really interesting article i'll have to share it with you that was making the
point that's where a lot of people stop is they stop in the data curation phase people have really
cool ideas for apps and they're building all this shiny software but a lot of it requires data data
that's been carefully curated and cleaned and that's what us awesome data scientists are here
to do and help out is if we can get this data cleaned and organized then it unlocks an incredible
amount of potential simply a daunting task but it's not hard it's dirty and that's why i like to
compare our work to that of a plumber and that's why you pay a plumber a decent amount it's dirty
unglamorous work that no one wants to do and we'll roll up our sleeve grab the plunger and go at it
so we're going to go grab the data plunger and get everything unclogged and flowing smoothly
and so all this awesome traceability data that's sitting there right in front of us
we'll get that flowing nicely into people's hands it's great and and so thank you thank you thank
you thank you thank you i want to thank you once again for your eyes your ears your brilliant minds
it's you that really moved the ball forward thank you for helping advance cannabis science
could it do it without you thank you