Blinking is a natural eye function that spreads tears across and removes irritants from the surface of the cornea and conjunctiva. For the perfectionists amongst us and for those with an enquiring mind, the obvious questions are: Is it possible to get a group photo without someone blinking in it? and How many shots will you need to take to be sure you have one picture with everyone wide-eyed?
The trite answer is just one, provided you give each of the subjects a pair of matchsticks to prop their peepers open. However, if you want a natural photo, or at least as natural as a group photo is ever likely to be, then you need to resort to some mathematics and probability theory.
Fortunately, someone cleverer than I has cracked his grey cells to shed some light on this First–World problem. Step forward, Dr Piers Barnes, a physicist from the Commonwealth Scientific and Industrial Research Organisation.
The starting point is the blink. The average number of times a person blinks when being photographed is ten, and an average blink lasts 250 milliseconds.
Unlike yawning, where one person can trigger a spate of copycat yawns amongst bystanders, there is no evidence that one person blinking influences another. Each blink is an independent event, and when we have a group of people, each of their blinks will be independent of all the others’.
The only occasions when this might not be the case is if the group are standing in something like a sandstorm, but let’s ignore this unnecessary complication. Each blink will also be random. They won’t all occur uniformly every six seconds.
Now for the science bit. Deep breaths all round.
In good indoor light, the shutter of a camera stays open for eight milliseconds, a period of time considerably shorter than the duration of a blink. So from a probability theory perspective, the chance of someone blinking while a photo is being taken is the expected number of blinks, which we will call x, multiplied by the period of time (t) during which the photo could be spoilt. The reciprocal, 1 / xt, is the probability of one person not blinking while a photo is being taken.
Following this logic through, if you have a group of people posing for a photograph (we denote the number by the symbol n), then the probability of a good group photo with no one blinking would be (1 – xt)n, and the number of photos required to get the perfect shot will be 1 / (1 – xt)n.
With me so far?
Plotting the formula on a graph shows a normal distribution, which will enable you to calculate the number of shots you would need to guarantee, at least statistically speaking, a perfect photo for any size of group.
What it does mean is that if there is a group of fifty or more, there is virtually no chance of an unspoilt photo. Remember that when you are planning your wedding photos.
Of course, in the heat of the moment, even the brainiest of photographers might not be able to make the necessary calculations. Helpfully, Barnes has developed a rule of thumb for photographing groups of under twenty people.
And it's extremely simple: in good light, divide the number of people by three, and take that many pictures to give yourself a decent chance of getting one with all eyes wide open – in other words, if you have a group of 12, take at least four pictures. In poor light, when the camera shutter will be open for longer, you'll need to use two as the denominator – i.e. for a group of 12, you'd need six pictures.
So now we know. Now to work on some of the other problems of group photos...
Martin Fone is author of 'Fifty Curious Questions', from which this piece is an excerpt – find out more about his book or you can order a copy via Amazon.
Credit: alamy
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