What are the mathematical chances two Tory MPs would tweet the exact same thing?

An insight into how maths can underline public opinion

Culture minister Nadine Dorries offered a take 16 minutes later that was exactly the same as her boss (PA Wire)

Last week, there was outrage from parliamentarians on both sides of the house over the treatment of Angela Rayner in the Mail on Sunday.

Prime Minister Boris Johnsonwrote on Twitter:

“As much as I disagree with Angela Rayner on almost every political issue I respect her as a parliamentarian and deplore the misogyny directed at her anonymously today.”

Others in his party quickly followed suit. Culture minister Nadine Dorries offered a take 16 minutes later that was exactly the same – word for word, letter for letter.

Technology minister Chris Philip, when later interviewed on Sky News claimed the identical messages were completely natural: “There’s nothing surprising that two colleagues in government have exactly the same view and have the same words.”

Sky News interviewer Niall Paterson retorted: “There’s nothing surprising about two human beings sitting down at the keyboard and tapping out the exact same sentence construction? Honestly, you’re trying to maintain the Culture Secretary didn’t copy and paste this, this wasn’t something that was sent to her?”

This isn’t the first time something like this has happened.

In 2020, Conservative MPs were caught tweeting out almost identical wordings during the controversy over Dominic Cummings violating Covid lockdowns. Just a few weeks ago they were again mocked for tweeting identikit messages in support of Boris Johnson.

Perhaps Nadine Dorries is being unfairly maligned as disingenuous when, in fact, the identical message was pure coincidence. But what are the chances?

To figure that out, we need to calculate the probability of two people writing the exact same tweet (within twenty minutes of each other) if they hadn’t either copied each other or copied from the same source.

This is a difficult thing to quantify. We could start by thinking about the number of possible tweets that could be constructed. Using just the 26 letters of the English language and the space, with 280 characters per tweet, we could construct 27²⁸⁰ ≈ 10⁴⁰⁰ possible different tweets. That’s an astronomically large number. Most of them would be nonsense though.

For real, comprehensible sentences we need to borrow a result from information theory, which deals with the analysis and communication of digital information. The theory suggests there are roughly 2^280x1.1 ≈ 10⁹³ different meaningful English tweets that could be composed. Still a ridiculously, infeasibly vast number. The probability of two completely independently composed tweets matching exactly is so small as to be effectively impossible.

But, we know they were tweeting about the same subject and purportedly share similar views. This is difficult to account for and here we can’t use maths alone to compare. Fortunately, there is still a way: Google.

When Malcolm Coulthard, a forensic linguist at Aston University, needed to do the same comparison in a court case to prove how unlikely it would be for the same sentence to be constructed independently by two different people, he used Google to make his point.

He came up with the sentence “I asked her if I could carry her bags.” He started by googling “I asked” and got over 2 million hits. Then he tried “I asked her” and got nearly 300,000. You can see how the number of hits decreases with the length of the sentence in the table below. By the time he’d googled the complete 9-word sentence there were no hits.

I asked	2,170,000 hits
I asked her	284,000 hits
I asked her if	86,000 hits
I asked her if I	10,400 hits
I asked her if I could	7,770 hits
I asked her if I could carry	7 hits
I asked her if I could carry her	4 hits
I asked her if I could carry her bags	0 hits

With a sentence as short as nine words there were no matching results to be found on the internet. This is how modern-day plagiarism apps work when students turn in essays. If the software finds a match between sufficiently long chunks of text then markers are alerted to these suspicious cases.

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But this was almost 20 years ago. To double-check I carried out the same experiment with the sentence “What are the chances of two people writing the same tweet”. This time, by the time I reached the eighth word Google had run out of matches.

What are	11,390,000,000 hits
What are the	8,930,000,000 hits
What are the chances	32,700,000 hits
What are the chances of	23,000,000 hits
What are the chances of two	5,200,000 hits
What are the chances of two people	557,000 hits
What are the chances of two people writing	0 hits
What are the chances of two people writing the	0 hits
What are the chances of two people writing the same	0 hits
What are the chances of two people writing the same tweet	0 hits

So the maths seems to suggest that it is extremely unlikely that Nadine Dorries and Boris Johnson composed exactly the same tweet independently. Instead it hints that the tweets are more likely part of a carefully stage-managed response that reeks of disingenuity.

When people question the sincerity of Conservative MPs’ apologies over partygate this is why. It doesn’t feel heartfelt. It feels constructed and artificial – the action of a party saying what they think people want to hear, not what they genuinely feel.

Kit Yates is director of the Centre for Mathematical Biology at the University of Bath and author of The Maths of Life and Death