So glad to be paying for a study program that allows me to enjoy reading through the material. Mental breaks like this lesson was much needed, because idk about everyone else but this whole section had me go haywire
"If you conclude that Tylenol makes people feverish, I'm going to slap you"
LOL I will be keeping this in mind as I study causation...I really like the examples too as I've been struggling with causal reasoning in drills and PTs
I take ibuprofen for cramps but still experience abdominal pain, therefore ibuprofen causes the pain WRONG - it may even alleviate it in some way bc the severity may have weakened, but the pain is still there, just minimized.
As a statistics major, I want add that the set of all people a correlation or causation relationship involves is called a population, while the selected participants in an experiment is called a sample. By having an experiment with a non-random sample of the population, there is a very high chance you'll get a sample unrepresentative of the population.
For instance, in the cruise ship example, 7Sage pointed out that the sample (those who self-selected to go on the cruise) is unrepresentative of the population (all people). If the causal hypothesis was instead "of people on the cruise ship, dramamine reduces seasickness" and the people who took dramamine vs. those who didn't were completely random, then the experiment would support it.
(Spending more time on 7Sage is actually counterproductive to performing well on the LSAT. For those that do, it's merely a phenomenon. Also 67% of claims online are false.)
It would be helpful to also frame this walkthrough alongside the learning from previous classes about the 4 competing hypotheses and the ways to evaluate causal arguments (e.g., chronology, causal mechanisms etc). I think that's what is being discussed in the final paragraph ("alternative causes") and some of the comments in this Discussion thread have been helpful for this.
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why is he so sassy in this one
#feedback Pleeeeeeease give us functionality to highlight sections of text.
ugh I agree...it'd be sooo helpful bruh
@almostfamous yesss
#feedback this lesson would be a great voiceover video !!!
@alexapatafio yup
the author said all filters are off lol, very entertaining to read and comprehend.
I agree makes the topics not so dense and hard to get through
So glad to be paying for a study program that allows me to enjoy reading through the material. Mental breaks like this lesson was much needed, because idk about everyone else but this whole section had me go haywire
lol i love the evil genius vibes this lesson is giving
@Sunday_Blues13 Me too. lol
saying he's going to slap for thinking tylenol makes you feverish took me out!
I loved this one!
someone chose violence
#feedback this makes so much sense but I would love videos on these topics!!
This lesson was so easy to comprehend and the added lingo and character made it so much easier to read. Thanks!
a gen z or millennial is writing this, its too funny.
#feedback. why are these not on videos/ voiceovers?
"If you conclude that Tylenol makes people feverish, I'm going to slap you"
LOL I will be keeping this in mind as I study causation...I really like the examples too as I've been struggling with causal reasoning in drills and PTs
I take ibuprofen for cramps but still experience abdominal pain, therefore ibuprofen causes the pain WRONG - it may even alleviate it in some way bc the severity may have weakened, but the pain is still there, just minimized.
omg where are the videos:(
Love this lesson! It's hilarious. 😆
i love JY so much
Am I really gonna have the time to run a whole idea experiment on the test? no
As a statistics major, I want add that the set of all people a correlation or causation relationship involves is called a population, while the selected participants in an experiment is called a sample. By having an experiment with a non-random sample of the population, there is a very high chance you'll get a sample unrepresentative of the population.
For instance, in the cruise ship example, 7Sage pointed out that the sample (those who self-selected to go on the cruise) is unrepresentative of the population (all people). If the causal hypothesis was instead "of people on the cruise ship, dramamine reduces seasickness" and the people who took dramamine vs. those who didn't were completely random, then the experiment would support it.
@WilRothman w explanation
i just love the jokes sprinkled here and there
Best lesson of this section so far, pulled the last few lessons together nicely!
Now we know what the last couple lessons are for lol
(Spending more time on 7Sage is actually counterproductive to performing well on the LSAT. For those that do, it's merely a phenomenon. Also 67% of claims online are false.)
It would be helpful to also frame this walkthrough alongside the learning from previous classes about the 4 competing hypotheses and the ways to evaluate causal arguments (e.g., chronology, causal mechanisms etc). I think that's what is being discussed in the final paragraph ("alternative causes") and some of the comments in this Discussion thread have been helpful for this.
Tylenol makes people feverish. Do your worst
@SwagOD Wat