Marcel the joker

In search of lost laughs

I have just finished reading Proust’s “In search of lost time”, in the translation by CK Scott Moncrieff (vol 1-6) and Sydney Schiff (vol 7), Centaur Editions, available on Kindle.

Literary types argue over the merits of this translation, and it has been contended that it is better than the original French – a mischievous wit suggested that, if so, it should be translated back into French.

Proust could have fun:

... he began once more to cough and expectorate over me. “Don’t tire yourself by trying to speak,” I said to him with an air of kindly interest, which was feigned.

... he said of one of M. Verdurin’s footmen: “Isn’t he the Baron’s mistress?”

“... You must know far more than I do, M. de Charlus, about getting hold of sailors.”

... his stock of Latin quotations was extremely limited, albeit sufficient to astound his pupils.

... he had that detailed knowledge of Paris only to be found in people who seldom go there.

She looked like an exhausted swimmer far from shore who painfully manages to keep her head above the waves of time which were submerging her.

... the Duchesse de Guermantes’ cheeks which had remained remarkably unchanged though they now seemed compounded of nougat ...

His formerly brick-red skin had become gravely pale; silver hair, slight stoutness, Doge-like dignity and a chronic fatigue which gave him a constant longing for sleep, combined to produce a new and impressive majesty.

Somebody mentioned a name and I was stupefied to know it applied at one and the same time to my former blonde dance-partner and to the stout elderly lady who moved ponderously past me.

... the Princesse de Guermantes’ locks, when they were grey, had the brilliance of silvery silk round her protuberant brow but now having determined to become white seemed to be made of wool and stuffing and resembled soiled snow.

He declared that I had not changed by which I grasped that he did not think he had.

... for three years she had been taking cocaine and other drugs. Her eyes deeply and darkly rimmed were haggard, her mouth had a strange twitch.

“You took me for my mother,” Gilberte had said and it was true. For that matter it was a compliment to the daughter.

For this American woman, dinner-parties and social functions were a sort of Berlitz school. She repeated names she heard without any knowledge of their significance.

So people said: “You’ve forgotten. So and so is dead,” as they might have said: “He’s decorated, he’s a member of the Academy,” or — which came to the same thing as it prevented his coming to parties — “he has gone to spend the winter in the south ” ...

Hearing that Mme d’Arpajon was really dead, the old maid cast an alarmed glance at her mother fearing that the news of the death of one of her contemporaries might be a shock to her; she imagined in anticipation people alluding to her own mother’s death by explaining that “she died as the result of a shock through the death of Mme d’Arpajon.” But on the contrary, her mother’s expression was that of having won a competition against formidable rivals whenever anyone of her own age passed away.

Messing with LCN DNA

The delights of Bayesian probability reasoning are sufficient to draw from me another case comment!

Our Court of Appeal, in Manoharan v R [2015] NZCA 237 (11 June 2015), has said that a likelihood ratio of 20 (meaning 20 to 1, or in context, 20 times more likely under the prosecutor's hypothesis than under the defendant's) is “not strong” [52].

This was an LCN DNA analysis and obviously compared to the usual DNA results of likelihood ratios in the many millions, 20 is not high. But in the context of a case it can be, as can be seen from the results of applying Bayes’ Theorem (this was a single-issue case involving independent items of evidence).

I should emphasise that the single-issue nature of this case ("who did it?", an actus reus issue) simplifies the use of Bayes' theorem. Where several elements of the offence charged are in issue, the theorem must be applied to each separately, and only evidence relevant to that issue is used in each application. This prevents, for example, a huge scientific LR on the issue of identity from swamping the issue of intention. For each issue the "probability of guilt" means the probability that that issue is proved to the standard required for it to be established.

The likelihood ratio used by the scientists in declaring a match is not necessarily the same as the likelihood ratio for the activity evidence used by the fact-finder in the trial. This is because the defence may have an innocent explanation for the match which brings the denominator of the likelihood ratio (the probability of getting the match on the assumption that the defendant is innocent) close to the value of the numerator. Then, the probative value of the test result for the prosecutor would be very reduced or even extinguished.

We can compare what the probability of guilt would have been if the scientific LR had been in the millions and the trial LR numerator approximately 1, with what the probability of guilt would be under the revised scientific LR and corresponding new trial LR, for priors-in-combination (by which I mean, the ratio of probability of guilt to probability of innocence, based on all the other evidence in the case and the starting assumption about the probability of guilt and the probability of innocence, for this single-issue case) of various levels. (For multi-issue cases the priors will be assessed separately for each issue.)

A perspective on the size of a LR of 20 is obtained from considering a case where the evidence is not given, compared to one where it is.

• If, without the evidence, the probability of guilt is 0.90, then with the evidence that probability increases to 0.99.

• If, without the evidence, the probability of guilt is 0.60, then with the evidence that probability increases to 0.96.

• And, if, without the evidence, the probability of guilt is 0.30, then with the evidence that probability increases to 0.89.

These 3 examples show that evidence with LR = 20 can have strong probative value.

Perhaps the Court under-emphasised the strength of the DNA evidence in this case. It approved defence counsel’s submission that the jury should have been told that in New Zealand it was likely that there are 200,000 people who would have the same profile. The fallacy is to include people who had no opportunity to commit the crime.

Update: on 28 October 2015 the Supreme Court refused leave to appeal: Manoharan v R [2015] NZSC 156. The Court could see no basis to indicate that the Court of Appeal had been wrong when it had held that there had been no miscarriage of justice.

Another update: Bernard Robertson has commented on this case in"Likelihood ratios in evidence" [2016] New Zealand Law Journal 22. He points out that the Court at [39] correctly describes the witness's evidence as stating a likelihood ratio, but earlier in the judgment, at [17], it had transposed the conditional when referring to the same evidence. Mr Robertson also points out that the "20 times more likely" assertion should have been clarified because juries will not know what to do with a likelihood ratio, and that in this case source level propositions (where the sample at the scene came from) were mixed with activity level propositions (how it got there).

Search seminar

Notes for the talk on the law of search that I gave at the Auckland District Court on 1 July are available here. They are complementary to the more detailed paper that has been distributed to lawyers, and now is available here.