Keep an eye on correlation versus causation when interpreting your cannabis wellness data.
Jointly is a cannabis wellness app and cannabis social network that lets you
track the 15 factors that can impact your experience.
With Jointly, you can
discover new cannabis and CBD products and track how well each product helps you
achieve your cannabis wellness goals.
It’s important to understand the difference between correlation and causation to get the most out of Jointly. It's like a cannabis club.
Let’s start with a quick refresher on both concepts.
Correlation
Correlation is the relationship between two sets of variables used to describe or predict information.
For example, the more time you spend running on a treadmill, the more calories you will burn.
Causation
Causation (also known as cause-and-effect) exists when an event or action appears to have caused a second event or action.
For example - I bought a new bed comforter and placed it in my washing machine to be cleaned. After cleaning the comforter, my washing machine stopped working. I may assume that the first action, washing the comforter, caused the second action, broken washing machine.
An Example of Correlation Versus Causation
These two terms are often confused, which makes it difficult to accurately assess whether or not a cause-and-effect relationship has truly occurred.
Let’s say Herb has a coin. As he flips it, he says aloud, “heads.” He gets a heads. Then he flips it again and says, “heads.” And again he gets a heads.
Is he causing the coin to land on heads by calling it? Of course not. But, if he did it 20 times in a row – then we might start to wonder how he’s doing it. But we still wouldn’t think he was causing it with his words, because that doesn’t stand up to reason or physics. Maybe he’s got a trick penny or a specially trained technique. So, Herb’s calls and results are perfectly
correlated. But something else is
causing them.
Jointly can help you
identify products that may be effective at helping you achieve your goals, based on the real experiences of other people like you. But everyone has a unique endocannabinoid system, so you can’t be sure that a product that works well for one person will work the same way for you.
Jointly gives you the tools to find out for yourself
what is working for you and what isn’t, determine
your optimal dose, minimize
any side effects, and learn how the quality of your cannabis experience can be impacted by
sleep,
hydration,
exercise,
diet, and more.
That's great. But if you mistake correlation for causation, it can impact the quality of your experience. How?
Using Jointly Wisely: Correlation Versus Causation
As you submit reports in Jointly, you’ll start to see patterns emerge in your Wellness Center.
Perhaps you’ll start to see that you’re getting better results with 10mg of your favorite gummy instead of 15mg.
Perhaps you’ll discover that you experience more anxiety when you use cannabis alone compared to when you are with friends and family.
Perhaps you’ll start to see that you have better results when you wait at least 12 hours between sessions.
As these patterns emerge, you should treat them with a healthy skepticism. Are you seeing correlation? Or causation? Do you have enough data points to draw any conclusions yet?
It’s not easy to make these determinations, but the more reports you submit – the more meaningful the results will be – especially if you are mindful of
cognitive biases that may impact the quality of your results.
Curious to learn more? Here are some
great examples of correlated things with no causal relationship. And here’s a site that
explains it all better than we just did. You can always find great information in our
Wellness Center.
Good luck and we wish you well on your journey!