Welcome to the Canvas Data Science Meetup group.
Happy to have you all here.
It could be the best Canvas Data Science Meetup yet.
There's some real cool things that we'll cover today.
I think you'll be in for a treat.
Without further ado,
how about I jump into it and then we can talk about the data and statistics
in Canvas Insights as we go.
So for those of you who are new to the group,
we started last February and we've been collecting data
and we've been collecting data from here.
We've hit so many cities.
We've hit Oregon,
we've hit Colorado, Washington,
we've been walking a lot in Massachusetts,
and really just looking at states all over the country.
And so the reason we're doing this is we're trying to essentially build
nice collect systems so that way people can collect data from themselves.
So here I've just started an ongoing list of all the states,
whether you or not they have cannabis together or not,
and then we've done without collecting the data.
We've been collecting some of these and so some of these are near completion.
So for example, your completion,
Massachusetts, Connecticut, and really just five to a billion states.
And so it will be exciting as we start to check off the box for each of these states.
Washington also needs to start to move this towards completion,
but still so much data we're going to do that are you ever finished.
So this is a nice ongoing project.
So if you want to put your hands on the scripts or contribute,
definitely do the repository star.
And then if you watch the repository,
you can get notified whenever there are updates.
So whenever I post the latest code,
you will be able to make it to the meetup.
Well, you can still get notified that the latest presentation was just uploaded.
And in general, in from now on,
we're going to try to upload the meetup one hour before the actual meetup.
You can get a year in store, familiarize yourself with the script,
or even get your hands on the data ahead of time.
So that way you can get your hands on it.
But it's not critical.
This is here for perpetuity.
So feel free to enjoy it.
It's all licensed under the MIT license.
So it includes the copyright and license,
and you're off to the races to use the code however you de-fit.
So that's just a quick introduction to what we're doing in our group.
And so as I've said, we're in for a break today.
So first thing first, start with the paper.
So I've compiled all of the data that we've collected
to the degree throughout the meetup.
Do you have any other questions?
Hey, I'm not trying to be a begging choose or whatever.
Maybe somebody in the chat room, I can't access my chat.
But the quality of maybe it's mine or your audio
is kind of sporadic slash choppy.
Oh, Graham, I've been trying to get in touch with you.
Can I copy your LinkedIn format on your description?
I don't really have a built up LinkedIn yet.
I have one from prior to my disability.
But you can totally get in touch with me with my LinkedIn.
No, I can't if you have premium.
So I'm going to leave.
I'm going to leave.
So I don't have premium.
So I can't message you.
So I tried connecting with you.
I can't do that.
So I have a year and a half of employment to a gap to explain.
I can't be on camera right now.
I'm pretty sick.
Anyway, so great.
Maybe I'll get in touch with you some other way.
So anyway, Keegan, your audio is kind of jumping around.
jumping around so not really maybe somebody else can comment maybe somebody
else feels the same way I'll let them speak
I can't reduce the amount of input but is it unbearable to continue or?
not by my I mean I'm gonna let somebody else determine that but I feel like I
can only hear every few of your words not every word so
I think Keegan
yes
I think it's gonna need to be more of a visual
you're gonna have to speak slower it's just because we have enough people in
here that it may lag a little bit just because of the internet connection but
um also I posted my email in the in call messages thank you thank you yeah and
it's still Graham like the cracker but I would love to be in touch with people in
Maryland that use medical cannabis thank you I was just um yeah because you have
premium I wasn't able to connect so awesome thank you so much
you're welcome
okay am I still with you
yeah okay well I'll try to do mostly people so today we are going to look at
all the data we've collected through the the year so far so as you can see we've
collected a lot of data points from many states so just a quick overview of of
the goal of today so we've looked at the various states well today we're going to
try to forecast for all these states so the ones we've at least collected data
for so Illinois Massachusetts Washington Colorado and Oregon and we'll apply the
ten commandments of forecasting so we're going to be forecasting sales we're
doing this so that everybody has a nice transparent model for their own value
and their own understanding of the industry so we're making this public
knowledge we're acknowledging that our forecasts are imperfect so people should
not put too much stake in our forecasts since we've done these fairly quickly
our forecast horizon will be 2022 because much further than 2022 and we
start to lose credibility and predictability and much shorter than that
and it's not as valuable so we'll be predicting 2022 we're going to use an
a theoretical model today so we'll just use total sales as well as just a few
natural things like month effects we'll use the theoretical model just to keep it
simple as a student as a reader Edward Tuft I always emphasize that you should
put a lot of work into presenting your results in a beautiful informational way
so visualizing data is key especially to explaining data to other people then
we'll analyze our forecasts in the coolest thing is we can iterate on this
so coming into 2022 we'll be able to judge all of our forecasts that we've
made and then if our forecast model is really poor then we can think about ways
to improve it so and then we'll go back to step one so this is sort of an
iterative process that you can follow to forecast so without further ado let's do
some forecasts so I've just read in a handful of useful packages here date
youdle is a new one that we haven't used yet and so this will be using to
manipulate time and so the other ones map plot live pandas PMD or EMA
Seaborn we've touched on these before and then these are just a couple handy
helper functions so first things first let's get our paws on the data that's
not what we want so you know you can start to you know we can start to just
do summary statistics right we've got total sales you know we're starting to
look at retailers we've got the population we're even starting to get
things like prices so we know we've got the data here now first things first we
need to look at the data right because this is just a pile of numbers here so
here I'm just going to add a time index simply to still getting new to VS codes
hotkeys so bear with me I like the visual interface a little better
sometimes for VS code but I'm still getting used to it so so bear with me
but we've got some good visualizations coming up so let's just go ahead and and
get to these so first things first let's just look at the total sales so this is
the data that we've diligently collected starting in February and throughout the
year I still have to add the Oklahoma data and then there are a few other
states I think we could easily add well maybe not easily but we could try to add
such as California I haven't tried to add Arizona yet so there's still a few
more states to add but these are the ones that we've covered so Colorado of
course at the top and so as you can see Colorado has quite a quite a head start
so it'll be interesting to see if the other states you know get to the level
of sales that Colorado is currently at Illinois has recently overtaken
Washington for total sales so that's an interesting observation and then of
course we've noted that Massachusetts is quite volatile so whereas you see
Oregon Washington and Colorado increased sales in April and May of 2020 you see
right despite the downward spike in sales to zero in Massachusetts as stores
were closed and then they were just open for about a week in many so that's why
sales are low during that period so drill interesting because Massachusetts
is the only state that really closed stores so there is potentially you know
differential analysis that could be done there to parse out various effects of
cannabis consumption I mean there's a myriad of studies you could do so so to
keep that in mind and then we just have limited sales data for Maryland and then
here's Maine which has a small population which explains the small
number of sales but it may even may have a disproportionately low number of
sales and maybe because they're right next door in Massachusetts who knows
one thing that Maine does have or prices just checking is the audio coming in to
the point where you can follow along yes thank you so much awesome sorry I didn't
do a good job of relaying back the appropriate feedback thank you so much
thank you Heather just it's got to be otherwise what's the point of listening
so okay anyway moving on we've got the price per gram in just a couple of
states but this is a valuable data point and so it would be awesome to add this
data point in more states we could add it in Washington it's just going to take
a lot of work so be in be on the aisle for price data because valuable but what
we can observe is you know Maine and Massachusetts have comparable prices
with Maine originally being above Massachusetts and current day below
interestingly Oregon is famous for their prices falling through the floor prices
so it's really going to be tough to explain what's going on in Oregon so I
don't have a ready explanation there may be things going on with you know
black market cannabis or it just could be just a ton of supply there just
couldn't just be it right licensing may be quite easy in Oregon so there may just
be a ton of supply and price and prices have just gone down another thing is it
could be a time effect so it could be that you know Oregon and Washington
they've had cannabis for several for for many years now going on a decade for
Washington and so you may just expect the market dynamics the you know the
players that have operated in there they've found ways to cut prices right
the producers have found ways to grow more efficiently people have found
economies of steel demand may have risen well actually that may not be the case
that would that would that would push prices up so I'm thinking to probably
more supply side factors so things that would push supply up so either an
increase in supply or better technology so it could just be that people in
Oregon just have much much better cultivation technology than they do in
Massachusetts and Maine it could be cheaper to produce cannabis in Oregon
than it is to produce cannabis in Massachusetts and Maine right so people
may be doing growing outdoor which may be harder to do in Massachusetts and
Maine so that could be a factor as well I think we had a question coming from
the audience yes and the question would be no um I raised my hand but I was just
gonna add what Keegan just said it was very intellectual and you know it does
make sense I know why it happened and Keegan said it but I'm I'm just
wondering why Keegan is gonna say next I'm learning a lot that's why I raised my hand
awesome and don't let me steal the show because ultimately it's a meetup right
so you're right the idea is to have a conversation so don't let me steal the
show I just I just put this together just to kind of have some guiding
direction for the group so so if I ramble along too long and you've got a
good comment then definitely chime in so so that was the main points I had for
pricing so just it'll be interesting to observe how things go so I think we did
forecasts of Oregon prices earlier in the year and we need to check those and
I actually predicted that Oregon prices would increase through 2021 I called it
you know inflation of cannabis prices but you're still seeing deflation of
cannabis prices with prices going down in Oregon so real interesting and so only
time will tell and so we'll just keep tracking these so we'll keep tracking
Maine and Massachusetts and Oregon and add Washington to the mix and see if we
can't add some more okay now time for the fun bits so we've got all this
awesome sales data here and actually we can maybe predict prices so that could
be a novel exercise but what I put together is predicting sales actually
prices may be more interesting so we'll maybe try to save time to predict
prices but basically it won't spend too much time on the code and so the data is
more interesting than the code but long story short we're just going to iterate
over the states we get the data for a specific state so I need to we'll get the
data for a specific state Colorado data and then there's two ways to do this the
first way I'm going to I'll just start with the month fixed effects and then
show you the potential problem with those but basically I'm just going to
add a dummy variable here for the month so that way we just have a zero or one
depending on the month then I'm going to define the forecast horizon so basically
we don't quite have dated through the end of the year so we only have data for
Colorado through October so we'll actually have to forecast November
December and then the 12 months of 2022 but we'll do that no no no problem and
then we just have to forecast our month effects which we can do with a hundred
percent accuracy because we always know what month it's going to be so this is a
point if you're going to be adding fixed effects for forecasting you also have to
forecast your your effects and so that can introduce you know additional error
into your model using month is just a real easy one and then I'll show you why
here in a second by why the downside but we're sort of going to be using the
black box auto are my that PMD are my provides to the forecast and
so the pros and the cons about using packages are the pros are right there
are many built-in features and right there are many many contributors to get
right to really iron out the code the downside is it's a bit of a black box and
I am not a hundred percent certain it's using my fixed effects correctly and so
long story short may end up sort of reading code to do this myself but for
now we'll use the auto aremum package and I'll show you here in a second and
I'm a little worried about it but long story short we're just using what's
called the box Jenkins methodology which is you just take a series you look at
its past behavior and you try to forecast future path of the variable and
so this would be Colorado and for whatever reason it's not there's always
a dip wherever whichever month I exclude so I wonder unless it's excluding
informant but it shouldn't be so long story short is the right there's and
then I'll show you what it's like to not include the month fix the text so for
whatever reason now there's a large dip in April so there's something wrong with
well maybe there's not necessarily wrong but I'm highly skeptical about what's
going on with these fixed effects so I don't love it I do think it's important
to control for things like the month effects but I'm not certain I'm doing it
correctly so I just kind of wanted to show you that and then what would happen
if you just you know excluded the month effects entirely well I probably don't
need to run all of this well then we just use an autoregressive process and
we don't have the dynamics that you would really expect out of a the truth
like an actual series so this is with in just so that's sort of what's going on
and just to kind of show you this in a better visualization with all the months
now that you can kind of see what's going on actually let's do it first
without the month fixed effects so here just going to iterate over all of the
states and do this forecast and then down here I've plotted it in a decent
plot so sorry that I'm rushing through the code but I think the data and
visualizations are going to be more interesting so here you can kind of see
the forecast with the in here I can make this larger so here you can see just if
we just use the autoregressive forecast without any month effects then the most
recent observations and direction really influences our prediction so for example
in Colorado because the last few observations were decreasing we we
predict a decreasing trend similarly with Washington peculiar peculiar the
we predicted outwards trend in Illinois Massachusetts super tough to predict
because it's just had this you know volatile number of sales and so we know
our forecast is really naive and it's kind of based on this last dip but you
know we may actually see Massachusetts you know return to a to a higher
level and then you know we were not predicting too much change in Maryland
maybe a slight positive increase and then you know we were predicting a
drop-off in Maine which also I'm not quite certain about so those would just
be the autoregressive trends that we would forecast and then if we add in the
month effects which I say I'm not very certain about they you'll see they we
seem to give more plausible forecasts except for the month excluded so you
know so something's some fix is going to need to happen to better account for
that but that's why remember our you know ten commandments of forecasting you
know it's in the forecasting models are gonna evolve over time so so now that
you've been warned about but this model is far far from perfect and because
something is going on here here or you know essentially forecast for the various
states and here if you include the month effects besides from this unrealistic
drop in January which I need to fix I think it's something to do with how the
model the models predicting great question yeah Keegan um um from my time
as a data scientist this looks a lot like artificial error and stuff what
you're saying basically stuff with the model and how you put in the month
excluded I'm not sure what's happening my best guess is that sales data keeps
some sort of running some in its forecast and the plus or minus on each
month each Delta T state is what changes month to month and when you exclude that
month you also exclude that running total so that month exclusion principle
maybe excluding that running total as well I'm not sure but I'm gonna make a
hard guess that it has something to do with how it handles that month excluded
in Europe 100% correct and so unfortunately actually I can actually
tinker with this and make sure that this is correct so watch for an e-message
from me later today if I fix this but something's going on I actually wrote
this function myself so I can double check to see if the breakdown was in
there but I've got a bad feeling I'm gonna have to write the Norema model
with exogenous effects which is not the end of the world but you know that's why
I first you know reach for some packages but a lot of times with statistics it
doesn't hurt to do it yourself because statistics are high-stake and they're
hard to get right so that was what I did a lot when I was in school is it was
basically just writing just kind of double checking statistics that you know
these statistical packages produce you know making sure the variances are
correct and this and that in like I said you know night probably 95% of the time
you're going to be golden but but something's going on here and I'm not
super confident about these forecasts so so it's unfortunate but as you've learned
I don't you the cannabis data science group we never really let these hurdles
slow us down or at least not too much and so we're going to acknowledge that
our forecast in January is messed up and then that may even bias our future
result or future forecasts as well so our forecasts are going to be biased but
any number well not necessarily but in this case I feel that any number is
better than no number so long story short it would just be nice to have a
number for what 2022 sales may be even if you know it may be wildly off and we
revise our forecast in the future so so long story short this model needs to get
fixed so keep that in mind with with the numbers about to show you but I think
we're on the right track if we can correct January then we get plausible
fluctuation and we even we're even able to to get Massachusetts to the
to have its its unique cyclical trend so to the month effects I think are
important but just need to get fixed so with that said we can the last bit was
basically to analyze our forecasts so I thought the simplest way to do it would
just be to count the amount of sales that will happen in 2022 so just to run
that bit of code for you sorry I'm rushing through the code but the nice
thing is it'll be on github to double check and you know to read through so
even with our are not very believable forecasted dip in January you know
we're still predicting and so basically what I'm going to say is I think all of
these estimates are biased downwards because I don't think we're capturing
January sales correctly so so I think these are are going to be sort of my
like lower limit forecasts for these states so you've heard it here December
22nd 2021 Keegan's key and the cannabis data science meetup group made these
predictions and so I'm predicting that Colorado will have at least 1.6 billion
in sales in 2022 this may be lower than other people's forecasts I've heard some
forecasts for Colorado as much as 2 billion per in 2022 so so my forecast is
a little lower than that 1.6 but it's biased downwards Illinois predicting
will be just shy of 1 billion in sales in 2022 so 934 million that's a in I'll
try to put that into perspective here in a minute because these are really large
figures and it's hard to conceptualize the this amount of money so I'm going to
put that in perspective here so we'll do that in a second Massachusetts 680
million Maryland actually not that far behind and so that's why we may want to
I wouldn't be surprised if Massachusetts comes in a lot above 680 million in
2022 but at least we have an estimate main around 74 million Oregon around 1
billion in 2022 this is biased downwards I think and then Washington around 1.2
billion and so we have the the populations of the various states so you
know you can start to see well well we could actually potentially look at that
because basically sales per person would be sort of GDP per person and that would
be about how much better off people in these states are so actually so a couple
of statistics said these will just be kind of for fine so so one thing that
metric that I'd like to to use is number of schools and so in my hometown a few
years back they built a new school for I want to say two million dollars that
sounds low but I swear that's what it was but you know let's say you know a
new school you know costs you know five million dollars so now we could you
know start to you know measure you know sales as in terms of you know the number
of new schools so but of course you know you can't a tax people a hundred percent
so you know you could just say oh you know what happens if you know you did
you know a tax of just say like seven percent or something so this long story
short is that I'm sort of doing this as a lesson for some of the states that may
not have permitted adult use yet we'll just kind of do a thought exercise here
and just say okay if you taxed all of this revenue at seven percent how many
you know new schools could you could you build in 2022 so let's see if we can't
do this I'm just kind of spitballing this here just for fun so let's see if
we can't do that so you're going to get that amount of sales and they'll tax it
at seven percent then you'll divide that by the cost of a new school so so so
that state you know could build with many you know new schools but let's do
this first and then we'll we'll look at sort of the GDP per person so let's
just try this like I said I'm just sort of just sort of spitballing this here
but you know so we're saying you know a new school cost five million which I
don't know if that's accurate or not but let's say that's the price of a really
nice school well you know Colorado you know if they just and of course all of
these states are already taxed but you know like I said this is sort of a thought
exercise for for some new states and there may be thinking about what to set
their tax rates at and what they may want to spend their money on and how far
it'll go well let's say you know your state rate and we have the population
here so population in Colorado in the latest check was five point eight million
people so you know you could build you know 23 new schools so I think that's
just sort of a you know a way that you could start to you kind of quantify this
and I think you know kind of argue you know so for example in you know like
Maryland you could say hey you know we only have medicinal you know and we can
only make eight new schools you know maybe if we allowed adult use you know
eventually we could be building you know 23 new schools a year like Colorado can
do so so I just thought that was an interesting metric but just really
arbitrary just kind of pulling numbers out of my hat so nothing special about
that just trying to put some of these numbers in perspective and then let's
see if there's any elegant way to get the sorry to do this coding in front of
you but let's see if there's any way to get the latest population so oh and I
forgot that we were going to try to predict prices so that may have to wait
till next week but you can at least try to quantify how much better off people
in these states are going to be okay so we're gonna go ahead and get that series
and basically we want the last population know if this is going to be
okay so that's how we can get the latest population so we can get you know
essentially GDP per capita in these states for cannabis GDP so you know the
government's always measuring GDP well we can kind of you know show how much
better off you know people are from from candidates and so found this just do it
like that and no promises this is going to work
and GDP per capita from cannabis and no promises this is going to work first
try but we can always try okay so looks like me we may have messed up our
calculation but I always think these numbers look low but you have to
remember this is this is everybody in the state you know everyone from newborn
to retired person so like in Colorado you know every like everybody's going to
be about you know almost $300 better off because because cannabis is legalized
and those would be people that aren't even consuming cannabis so this would
just this is just more money in the economy and you know we haven't even
really taken into consideration there could be a multiplier effect so people
that run cannabis businesses they employ other businesses who in turn employ
other businesses so there's sort of a multiplier effect when what you have the
you know these number of sales and remember you know these are sales that
may have otherwise been taking place you know below ground you know not getting
taxed with people who are willing to operate below ground getting this amount
of money and I'm not saying that you know everybody's necessarily a bad
character but I mean this is a lot of money to be you know flowing untracked
in the economy to potentially some shady characters right like we can't pretend
that they're going to be no shady characters in the black market of
cannabis and so that's sort of what my sort of takeaway from today is and today
it's always more of a lesson to other states and so although we looked at
these states I think this is here let's let's put it all together I think this
is more of a thought exercise for some of the states that may be on the fence
about cannabis because I mean the alternative is you either have a black
market in your state with potentially millions of dollars getting into the
hands of people that you don't have the least idea about and the alternative
your opportunity cost is schools right your opportunity cost of keeping
cannabis illegal is potentially building you know up to you know 23 or so schools
and remember these are are low estimates so we're gonna revise our forecasts here
to really try to get as close to the mark as possible but I mean I can't
think this is anything but a good thing for these states I mean Illinois can
potentially build 13 you know top-notch new schools next year then the
alternative would have been one billion dollars you know flowing into you know
who knows whose hands so I think that's sort of my main point for today so I
guess I just wanted to share with you sort of any of you are you know speaking
to you know your state legislatures or just you know your community because
kind of things like this spread so like you know kind of talk about this with
with your friends and family and explain to them like hey like not only are they
making a large amount of money but you can all put it into concrete terms where
you know these states could be building dozens and dozens of new schools each
year that's just 2022 just 2022 I mean you could just in then and these are
growing series so I forgot to mention that it looks like Colorado where
Colorado could have peaked but for the most part these are growing series and
so you know if I was a state so I was the state you know so here I am in North
Carolina population 10.6 million people you know I'd be looking at some of these
other states and be saying like hey like you know Colorado has a population of
5.8 million and they can build 23 new schools like you know how many schools
could we potentially build or Texas Texas has a population of 30 million
that's or almost 30 million right that's well I guess Colorado is closer to 6
million so let's say Texas is about five times the size of Colorado well Texas if
you legalize adult use cannabis you know you're not going to get there overnight
but you know you could potentially be building five times the number of
schools in Colorado that's a hundred schools per year so if you're you know a
resident of Texas I mean these are sort of the things that you can try to use to
persuade people who are on the fence and say like hey you know it's either this
is your opportunity cost it's you can either let you know millions if not
billions of dollars flow into the hands of who knows who or you could build you
know a hundred new schools per year in Texas you know so these are sort of a
sort of persuasion tools that are arming you with and so you know you can look to
states that are doing well so and then and see you know how their policies may
work or may not work and so so I think that's sort of my main lesson for today
but I kind of want to end it there and see if anyone has any thoughts but but
that was sort of what we've been building up to this year is when we had
to get the data then we had to analyze it and make our forecasts and now we can
sort of discuss and analyze our forecasts and so the final statistic I'll
leave you with here today is keep in mind we've we've excluded a couple states
here from our analysis so we still need to look at California the most populous
state almost 40 million people and we don't have as a single good data point
yet and so we're working on it I just just haven't looked at California yet
just by happenstance but we still need to you know get Arizona data in the
process of seeing if we can't get Michigan data which is almost 10 million
people that's a that's comparable to North Carolina so and actually still need
to get Montana's data 1 million people there can't can't can't count them out
and so so there's still a few more states to add but even with this all the
states that we have calculated we've calculated that there'll be at least 6
billion in cannabis sales in 2022 just in you know these the just from these
handful of states not there will be we predict there will be so so 6 billion in
sales well you know uncle Sam may want to you know start start looking at this
too right because six that's six billion in well actually I guess these people
already are paying taxes so actually they may already be paying tax to uncle
Sam but long story short is you know maybe even the federal government may
want to start thinking about legalization because once again you know
they may not spend the money on schools per se but you know there's a lot of I
think there's a lot of social good that can be that can be had and so you're now
armed with the data some economic theory and some statistics and some know-how
about the cannabis industry so I hope you all go and you know spread the word
and you know keep advancing cannabis science on your own as well so we're
gonna keep this up so as I said you know here in 2022 we'll be checking all of
these forecasts right because if we're wildly off we want to to admit that and
let's show show everybody how wrong we were so so that's something to look
forward to and then the other thing is in 2022 we've been so focused on sales
this year we're gonna be digging a lot more into the production side of things
so that way we can start looking at cannabinoids and turpines which were
some of the things we were set out to look at and then we can start looking at
some more of the cultivation metrics maybe even start to analyze
manufacturing because manufacturing something I know the least about in the
cannabis industry so it can be a fun time to learn together so I think that's
where I'm gonna leave it for today don't want to take up too much of your time I
know everyone's time is precious so any thoughts or comments before we conclude
for today
so I just think it's a good job it was it was really informative um you did a
good job of just explaining these are for fun statistics at the end but it was
very informative and educational and I'm excited for the cannabinoids because I've
been messing around with data science with cannabinoids for a little bit and I
would love to hear insights on that as well definitely Graham and in fact if
you want to share any of your work you're more than welcome to so we've only
been able to look at turpene and maybe cannabinoid data from Connecticut so
there's a good data set there that we've been working with so let's
definitely go back and forth and start preparing some good scientific analysis
for the coming weeks because we've gotten so tied in with economics let's
get to some some interesting scientific questions so I think there is there's so
much to cover so so definitely stay tuned for some exciting work there
awesome awesome well I'm going to go ahead and conclude it for today just so
you know Saturday morning statistics is on Christmas so you don't necessarily
have to attend but I was thinking if you want to sign up and register so it's
just one dollar you can still get all of the material so you don't have to
actually attend you can just you know enjoy festivities or what have you and I
can send you the recording and the material afterwards so just thought I
would throw that out there so if any of you do want to sign up for Saturday
morning statistics I always try to make it worth your while so for one dollar I
think you'll get I think hopefully you'll get more than that in value so
just thought I would promote that real quick so until next Wednesday or
Saturday if you want to tune in I hope you all have a productive week keep your
move to the grindstone and have fun