I love statistics. Like work, I can sit and look at them for hours. I am not clever enough to know how some are calculated, but I do tend to challenge a few (usually the financial ones) and, even more, the conclusions drawn from them. This morning, for example, I was thrilled to read that the number of murders, manslaughters and cases of infanticide in the U.K. fell in 2019 to 650, the lowest level for five years. For a population assessed to be 66.87 million, that may look impressive. But part of me wants to say, add in the number of abortions or people taking their own lives, and the figure rockets up; drill into the number of deaths by sex and age and the terrible toll wreaked on young men in particular becomes clear. There is still a lot of explaining to do before the statistics become helpful in terms of planning or working out how to reduce the number of deaths. It is so easy to forget that behind every statistic is a human face, a suffering face, and just look at the numbers.
Another statistic that took my eye this morning relates to the measles epidemic in the Democratic Republic of Congo: 310,000 are apparently infected, and 6,000 are said to have died already. Given the difficulty of obtaining accurate figures from the Congo, one wonders whether the actual number of people involved is much higher. The solutions being proposed look inadequate and probably are inadequate, but only when the numbers reach a certain level will there be pressure to act — or so it seems.
What started me on this trail of thought was re-reading a comment I had made nearly seven years ago on an article written by a priest in a well-regarded Catholic journal (I was renewing my credentials with a commenting platform and my comment popped up before me). The article had contained unflattering observations on ‘the traditional orders’ and proposed some radical solutions based almost entirely on numbers. I had taken issue with this, little realising that some of the observations I was making in jest would reappear in Cor Orans as completely serious. Looking back, one of the things I noticed was that no-one appeared to have engaged with what I myself had written about the future of monastic life for women. Instead, many had used the opportunity to say what they thought about the habit, the liturgy and so on. There was no reason anyone should engage with me, of course, but in nearly two hundred comments, I had hoped someone other than myself might have been interested in the future of monastic life for women. Apparently not. The argument went down a different line from the one I had expected and ended up in a morass of contradictory figures and opinions, plus some fascinating insights into what really interests some American Catholics.
One should not conclude too much from that, but it illustrates a problem many of us have with statistics. First, we tend to believe them, if they fit our narrative. Second, we then use them rather crudely, citing them as ‘scientific proof’ of whatever it is we want to argue. (I am not referring to professional statisticians, who will be horrified by the suggestion that they could ever misuse their skill in such a way. I am referring to us amateurs.) Recently, I smiled over a friend’s evident sense of grievance at the amount of money the UK had contributed to the EU budget over the years of our membership. He correctly gave the figure in terms of umpteen millions. Re-worked as a contribution per capita per annum, it came to a pitifully small sum. Both figures were correct, but could be used in different ways to argue a case according to the individual’s preference.
Is there such a thing as a Christian approach to statistics? I don’t think so. But there is a Christian approach to truthfulness and fairness. A frequent theme in the Rule of St Benedict is his concern for fairness. From everyone being treated compassionately, according to need rather than status, to the constant exhortation to avoid favouritism in the monastery, Benedict wants everyone to know that there are no second-rank individuals in community. Nothing will be used to ‘do them down’. I wonder if there is something there for us all to ponder about the assumptions we make and the way in which we try to justify them, using, of course, irreproachably objective things like statistics.
Over to you.