The Guide
Two things move together. Now what?
This is the quiz that pays for the whole series. Almost every hard question on the science test is some version of it: here is a result, here is what somebody says it means, and do those two things actually match.
Start with the difference between a finding and an explanation. A finding is what was measured. An explanation is a story about why. The measurement can be perfectly accurate and the story completely wrong, and telling them apart is most of the work.
When two things rise together, there are four possibilities
- The first causes the second. More fertilizer, more tomatoes.
- The second causes the first. People in good health take up swimming, rather than swimming producing good health.
- Something else causes both. A bigger town has more coffee shops and more car crashes, and neither one caused the other.
- Coincidence. With enough measurements, some pairs will move together for no reason at all.
Data showing that two things move together cannot, by itself, tell you which of the four you are looking at. That is not a technicality. It is the single most common way a true measurement gets turned into a false claim, in advertising, in the news, and on this test.
What makes cause believable. Four things, roughly in order of strength. An experiment where people were assigned to the treatment rather than choosing it. A known mechanism โ some account of how the one thing could produce the other. The effect appearing when the cause is added and disappearing when it is removed. And other researchers finding the same thing separately.
Three questions for any claim. Does the evidence reach that far โ one town, twenty households, two weeks? Does the claim say what the data says, or something stronger? And is there another explanation that fits the same numbers just as well? A claim that survives all three is worth believing.
Watch the strength words. Proves and shows are stronger than suggests and is consistent with. Wrong answers on this test are very often correct sentences with one word upgraded. Real scientists write suggests far more often than people expect, and that caution is not weakness โ it is accuracy.
The missing comparison. When a study reports what happened to one group, ask what happened to everyone else. A treatment that helped 80 percent of patients means nothing until you know how many got better without it.
Worked Examples
Two questions, worked through
A survey of 200 towns found that towns with more public libraries have higher average adult reading scores.
It shows that two things go together across those 200 towns. That is all it shows, and it is worth something โ the pattern is real and it needs explaining. What it does not show is that libraries raised anyone's reading score.
Say the finding out loud in the plainest words you can: "towns with more of this also have more of that." If the sentence you were given says anything beyond that, the extra part came from somewhere other than the data.One: libraries give people more to read, so reading improves. Two: towns where adults already read well vote to fund libraries, so the reading came first and the libraries followed. Three: wealthier towns can afford both libraries and good schools, and the wealth is doing the work.
All three fit the same numbers. To choose between them you would need something the survey does not contain โ what happened in towns that opened a new library, compared with similar towns that did not.The Quiz
Ten questions
Answer all ten, then press the button at the bottom. Nothing is timed.
A city health department reviewed medical records and found that residents who bought a summer pass to the public pool reported fewer doctor visits for lower back pain than residents who did not. In a press release, the department suggested that swimming prevents back pain and urged residents to buy passes.
A researcher at the community college responded that people who are already in poor health, including people with existing back problems, are much less likely to buy a pool pass in the first place.
1.What do the medical records actually show?
2.What is the researcher's objection?
3.Which investigation would best test the health department's claim?
| Town | A | B | C | D | E | F | G | H |
|---|---|---|---|---|---|---|---|---|
| Population | 8,000 | 14,000 | 21,000 | 29,000 | 36,000 | 44,000 | 52,000 | 61,000 |
Crash counts and coffee shop counts for one year, with each town's population.
4.What does the scatterplot show?
5.Taking the table into account, what best explains the pattern?
A company tested a new tap-water filter in 20 households in a single town. Over two weeks, lead levels in the filtered water were on average 60 percent lower than in the unfiltered water from the same taps.
The company then ran this advertisement:
"Proven to cut the lead in your home's water by 60 percent."
6.What is the biggest problem with the advertisement's claim?
7.Which single word in the advertisement reaches furthest beyond the evidence?
In 1854 a severe outbreak of cholera struck the Golden Square district of London. Most physicians at the time believed cholera spread through foul air. A doctor named John Snow believed it spread through water, and he set out to find evidence.
He mapped every death in the district and found them clustered tightly around a single public water pump on Broad Street. He also looked at two places inside the outbreak area that had almost no deaths: a workhouse with its own private well, and a brewery whose workers drank beer rather than pump water.
Snow persuaded the parish officials to remove the handle from the pump, and deaths in the district fell. Snow himself later wrote that the outbreak had already been declining before the handle came off, because a great many residents had fled the district, and that he could not say from that alone whether the well was still dangerous.
8.Which piece of evidence most strongly supports Snow's idea that the pump water carried the disease?
9.Why did Snow report that the outbreak was already declining before the handle was removed?
10.The workhouse and the brewery were useful to Snow for the same reason a control group is useful in an experiment. Why?
The Key
Answers, and the trap in each one
Your Score
What the number means
| 8 to 10 | Solid. Check topic 5 on your map and go on to Quiz 6. |
|---|---|
| 6 or 7 | Close. Read the whole key, then take this again in a few days before you check the box. |
| 5 or fewer | Worth real time, more than any other quiz in Part I. This is the reasoning the test rewards most heavily, and it is the reasoning that keeps working long after the test is behind you. |
Misses on 1 or 4 mean an explanation was mistaken for an observation โ practice saying findings in the plainest possible words. Misses on 2 or 5 mean an alternative explanation slipped past, so run the four possibilities each time. Misses on 6 or 7 are about scope and strength words, and both are catchable by rereading the claim one word at a time. Misses on 8, 9, or 10 mean the comparison group did not stand out as the strongest thing in the passage, and it usually is.
The plate for this quiz
The gallery image is Snow's own map of the 1854 outbreak. Each death is a short black bar drawn beside the house where it occurred, and the bars stack into a dark mass around the Broad Street pump. It is one of the most reproduced diagrams in the history of science, and it is usually retold badly: the doctor removes the handle, the deaths stop, the story ends.
The real version is better. Snow reported that the outbreak was already fading, said the drop afterward proved nothing on its own, and rested his case on the workhouse, the brewery, and years of further work on which company supplied which household's water. He did not live to see the argument won. The map is public domain and available at high resolution through several archives.