The method of agreement
Take the cases in which the effect occurred and ask which factor appeared in all of them. A factor missing from even one such case is eliminated.
Mill's method of agreement looks for the factor shared by every case with the effect, and his method of difference for the one factor that separates a case with the effect from a case without it. A case table makes the search mechanical: the positive cases keep what they share, the negative cases eliminate what they contain, and the lab lists every one- or two-factor formula that fits. A fit is a candidate for the cause; the table cannot rule out the others that fit, or a factor it does not list.
Core ideas
The earlier lessons asked what evidence does to a hypothesis. This one asks how to find a hypothesis about a cause in a table of cases.
Take the cases in which the effect occurred and ask which factor appeared in all of them. A factor missing from even one such case is eliminated.
Mill's method of difference sets a case with the effect beside one as like it as possible without the effect, and blames the one factor in which they differ. A table rarely holds such a pair, and what it offers instead is elimination: a factor present in a case without the effect cannot be what was sufficient for it.
A factor that survives both is the only one the table leaves, among the factors the table lists. Whether it is the cause depends on what the table did not list and on whether one cause is all there is.
The material
A table first, then the two methods applied to it by hand, then what the lab's search adds.
Five people ate at the same dinner and two of them fell ill. The table records which of five dishes each of them ate, as 1 for eaten and 0 for not, and the verdict, 1 for ill. The dishes are oysters O, soup S, bread B, wine W and cake C.
Begin with the method of agreement, which looks only at the ill diners. Ann ate oysters, soup, bread and cake; Ben ate oysters, bread and wine. The dishes both ate are oysters and bread, so soup, wine and cake are eliminated.
Then turn to the well diners. Mill's method of difference would look here for a pair of cases alike in everything but one dish, and the table has none: Ann and Cy, the closest pair, differ in the oysters and in the wine. What the well diners offer instead is elimination. Cy ate bread and did not fall ill, so, if one dish is responsible, bread is not it. No well diner ate oysters. Oysters survive both steps, and nothing else does.
Mill's joint method of agreement and difference applies agreement twice: the cases with the effect agree in having the factor, and the cases without it agree in lacking it. In the lab's terms, it is a definition that agrees with the verdict on every row.
The lab does this search for any table. With the definition O it agrees on all five rows. With the search switched to pairs it also lists every formula built from one factor or two, shows the first one it found, and says how many there are. Two fit: O, and O ∧ B, oysters together with bread.
If a formula agrees with the verdict on every row, then the table does not eliminate it. If the table lists every relevant factor, and the effect has a single cause, a formula of one factor that fits is that cause.
Each of those conditions can fail, and the lab shows the first. The formula O ∧ B fits because both ill diners ate bread, even though a well diner did too: Cy ate bread without oysters, so bread alone fails, and bread with oysters has not been excluded. The table has only two ill diners, so it cannot separate oysters from oysters with bread. Its other limits are not visible in it at all: the knife, the water or the oysters' source are not columns, and a table cannot eliminate a factor it does not contain.
The second preset removes the other assumption, that there is one cause. Here prawns P or eggs E made a diner ill, and no diner ate both. The lab starts with the suspect P, which misses Ben. No single factor fits, because prawns miss Ben and eggs miss Ann and Eve, and the agreement method returns nothing common to the ill. The search over pairs finds the disjunction P ∨ E. Mill called this a plurality of causes, and his methods were not designed for it.
The lab's limit is that it checks a formula against the cases it is given. It cannot say whether the table is complete, or whether the cases were chosen fairly, or whether a factor that is always found with the effect is a cause of it or a sign of something else. The last of these is the subject of the next lesson.
Interactive
A definition tested against every case in the table
Method
Four steps, in this order, for any table of cases and an effect.
Keep only the rows with the effect and list the factors present in every one of them. Everything else is eliminated.
Of the factors that remain, remove any that appears in a row without the effect. This is what the method of difference becomes when no two rows are alike in all but one factor, and what is left fits every row.
Run the search over single factors and pairs, and read the count. More than one fit means the table is too small to say which is operating.
Name a factor the table does not list, and a case that would separate the formulas that fit. Those are the next two things to collect.
Five diners, five dishes; Ann and Ben ill, Cy, Di and Eve well.
The oysters are the candidate. The table does not distinguish oysters from oysters together with bread, since both ill diners ate bread, and it says nothing about a factor it does not list. To tell the two apart you need a case with oysters and no bread.
Given a table of cases with a verdict, you should be able to apply agreement and difference, list the formulas that fit, and name one factor not in the table and one case that would separate the formulas that fit.
Something to change about this lesson? Write it down, tick it off when it is handled, and export the list when you want to act on it. Kept in this browser only: nothing is sent anywhere, and nobody is notified.
No recommendations yet for this lesson.