Logical Reasoning

PT143 · S3 · Q19 A recent study showed that the immune

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A recent study showed that the immune system blood cells of the study's participants who drank tea but no coffee took half as long to respond to germs as did the blood cells of participants who drank coffee but no tea.

Conclusion (Thus)

Drinking tea boosted the participants' immune system defenses.

Evidence

In a study, the people who drank tea but no coffee had immune systems that took half as long to respond to germs as did the blood cells of people who drank coffee but no tea.

Evaluate

This has all the making of an Explain Curious Fact type argument, since we're citing a study's correlation in the evidence and then concluding something causal (X boosted Y).

Curious Fact ... why was tea w/o coffee correlated with faster immune response times than was coffee w/o tea?

Author's Explanation ... the tea is doing something good to the immune system.

We always react to this type of argument by asking two questions: 1. could there be some Alternate Explanation for the curious fact? 2. how plausible is the Author's Explanation?

Goal

The correct answer will either rule out a different explanation for why the tea drinkers had faster immune responses (they were not taking more multivitamins than the coffee drinkers / they were not getting more sleep and exercise / etc.).

Or it will provide something that needs to be true for the author's explanation to be plausible (certain chemicals in tea can have an affect on the immune system / the tea drinkers didn't already have this superior immune response before they started drinking the tea).

19.

Which one of the following is an assumption on which the argument depends?

  1. All of the participants in

    Too Strong: all

    It's not necessary that within the study, people only drank tea or only drank coffee. It's possible they also had subjects who drank neither and subjects who drank both. When you quote a correlation from a study, for example "Patients who had remdesivir along with a nasal flush recovered breathing function sooner than did patients who only had the remdesivir", that correlation you're naming isn't providing an exhaustive list of all the categories of research subjects. A correlation can cherry-pick certain subsets of the research population in order to highlight an interesting relationship. That doesn't mean those two subsets were the only two subpopulations of subjects. This answer feels tempting, but only as an inference we think we're pulling from the correlation we got in the premise. This answer doesn't have anything to do with the move from the Evidence to the Conclusion, so we also want our test savvy to kick in and remind us that, "This answer isn't ruling out an alternate cause, and it's not saying something that's crucial to the author's causal explanation being plausible."

    16% picked this

  2. Coffee has no health benefits

    Too Strong: no

    This argument is only looking at one potential health benefit that tea has. It's not ruling out the idea that coffee may also have some health benefits of its own.

    10% picked this

  3. Correct

    In the study, drinking coffee

    Why this is right

    Whenever we're doing Necessary Assumption and we see an answer choice that's ruling out an idea with "not / no" language, we get enticed (many, many correct answers take this form). These are the easiest and most important types of answers to consider negating. Would it hurt the author's argument if we said, "Yo, author --- drinking coffee caused the blood cell response time to double"? Yes, it would, because that would provide an Alternate Explanation for the curious fact. Alternate Explanations are the #1 way to weaken causal arguments (a.k.a. Explain Curious Fact arguments). Why do the blood cells of tea drinkers take half the time that blood cells of coffee drinkers take? The author's explanation is that, "Clearly, tea is doing something great; it cuts your response time in half!" This alternate explanation is saying, "Maybe, tea is doing nothing, and it's just that coffee does something not-great, that doubles your response time." Imagine that a normal blood response rate is 2 seconds (for people who drink neither tea nor coffee). In this study, tea drinkers' blood took half the time of coffee drinkers' blood. The author is picturing this: normal / coffee tea 2 secs 1 sec This answer, when negated, is saying this: normal / tea coffee 2 secs 4 sec In both cases, the response time of tea is half that of coffee. The author assumed tea was doing something good to cause this asymmetry, which means the author must assume that "it's not the case that coffee just did something bad to cause this asymmetry".

    Skill tested: Necessary Assumption · how this choice captures the argument's function is the move to repeat next time.

    58% picked this

  4. Coffee drinkers in general are

    Not Necessary

    If we negate this, it's saying that "coffee drinkers are more likely to exercise and eat healthily than are tea drinkers". Would that weaken? Would that provide an alternate explanation for why the immune system response time from tea drinkers is superior? No, that's moving in the opposite direction. If coffee drinkers are generally more healthy than tea drinkers, and yet in this study we still saw that tea drinkers have way faster immune response, that would actually strengthen the author's notion that tea is doing something amazing for our immune systems. This answer could have been correct if it had said, Coffee drinkers in general are not significantly less likely ...

    9% picked this

  5. Coffee and tea do not

    Too Strong: any

    The author doesn't need for coffee and tea to be 100% chemically distinct. They might both have antioxidants, for example. That doesn't hurt the author's argument. It's possible that tea has more immune system value than coffee because of the quantity of its helpful chemicals. Like, they could share all the same disease-fighting chemicals, but if tea carries five times as much of those chemicals per serving as does coffee, then the author's causal story still makes sense.

    7% picked this

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