27 comments

  • Wednesday, Aug 27

    "c" in this video, in statistics, is called the confounding variable: A variable that influences both a and b independent of each other.

    1
  • Thursday, Jul 10

    So when I encounter correlation, the common hypotheses should be running through my head before reading AC's?

    1
  • Sunday, May 25

    do you ever watch a lesson video and then realize you were zoned out the whole time and then have to watch it over again.....

    29
  • Thursday, Apr 10

    If you have live, I highly recommend the LSAT Course: Causal Reasoning (Foundational). They go over this and give it an acronym CREA. It's really helpful

    7
  • Thursday, Feb 27

    Keeping in mind these 4 hypotheses are definitely going to be helpful. I often confuse between 1 and 2 when I assume that A causes B and not the other way around when the phenomenon is common sense. I have to be attentive to what the sentence says and think of these 4 possibilities. It could be a 3rd factor that causes both A and B or there isn't even a causal relationship at all. Guess I gotta train and familiarize :)

    1
  • Wednesday, Jan 15

    Correlation: Researchers have found that cavities increase with the more glucose they add to rats teeth

    1: Glucose causes cavities

    2: cavities causes glucose presence in teeth

    3: diet caused the high amounts of cavities and glucose

    4: when the study was done on humans, there was no increase in cavities. No causation

    1
  • Tuesday, Jan 14

    H1

    Lung cancer causes people to smoke.

    Opposite of A. I would say something like smoke seems like the remedy or solution to lung cancer.

    H2

    H3

    People want to fit in. People want to be seen as cool. People see media that depicts the bad boy archetype and want to emulate it to be seen in a better light. People also see videos that show the affects and still choose to take a chance with smoking. People end up choosing to smoke might end up with lung cancer but that is not the only way to get lung cancer. Having Lung cancer does not guarantee that you were smoking.

    H4

    0
  • Tuesday, Nov 26 2024

    What's the expression for hypothesis 4 in lawgic? If no (A →B) is that /A → /B? Is there a A B (strikethrough of →) ?

    0
  • Tuesday, Oct 01 2024

    lol I'm-a-well-paid-tobacco-industry-lawyer suit :0

    what the value of law industry !

    0
  • Thursday, Aug 08 2024

    I wonder how I might implement this to explain a correlation that I don't have any knowledge on. The answer here is simple to find because of my knowledge. How will I know which is right on the exam when they use more obscure facts or events.

    Will there be context? Or will it always be a simpler example.

    0
  • Thursday, Mar 14 2024

    My "I'm-a-well-paid-tobacco-industry-lawyer suit," tells me Philip did nothing wrong. Coincidences sure are interesting.

    7
  • Thursday, Jan 18 2024

    https://en.wikipedia.org/wiki/Philip_Morris_USA

    4
  • Thursday, Dec 28 2023

    I am confused so do we have to choose one "correct" Hypothesis? For Example - Hypothesis 2: B causes A wouldn't be accurate --> Lung Cancer causes people to smoke. Common Sense.. #help

    0
  • Wednesday, Jun 14 2023

    Another possibly helpful example that I remember on correlation vs. causation is sales of ice cream and drownings, which have a high correlation. However, obviously there is no causation, as ice cream doesn't cause drownings. Instead, phenomenon C, or hot days, caused an increase in ice cream sales (A), and an increase in swimming, resulting in more drownings, or (B).

    62

Confirm action

Are you sure?