$ cat posts/how-much-longer-will-this-damn-project-last.md
How much longer will this damn project last?
You have surely faced a project that seems like it will never end, eternal, one that is already wearing you down beyond what’s possible. How much longer will it last? you ask yourself. You are not going to like the answer, but it may shed some light on how to deal with what’s left of it.
The mediocrity principle
In 1969 the mathematician and astrophysicist John Richard Gott was standing in front of the Berlin Wall. Like so many of his contemporaries, he wondered how much longer this division between the two Germanys would last.
He worked out and formulated a line of reasoning, later known as the Mediocrity Principle, to estimate the life of the wall using a single variable: the amount of time it had been standing.
The Mediocrity Principle is an epistemological notion which holds that there are no privileged observers for a given phenomenon.
Gott knew the wall had been standing for 8 years at that point, and he figured that throughout the Wall’s whole life a multitude of people had asked themselves the same thing he had, and therefore there was no reason to assume he was asking it at a significant moment in history.
With that he calculated that the wall had between 2.4 and 24 more years to live. The wall fell in 1989, 20 years later.
Gott applied the following formula:
In this inequality the remaining time is calculated from two parameters: T_actual, which is how long the observed phenomenon has been going on (eight years in the case of the wall), and f, which is a confidence factor, a value between 0 and 1.
For his calculation Gott used a value of 0.5 for f, that is, he considered there was a 50% probability that the wall would last less than 24 more years.
Faced with criticism, in 1993 Gott applied the principle again: “Specifically, Gott drew up a list of the 44 shows playing on Broadway on a given day, May 17, 1993, and predicted that the ones that had been running the longest would be the ones that stayed open the longest, and vice versa. His prediction proved correct in 95% of the cases.”1
In essence, Gott’s formula gives us an approximate range for the remaining time, but it has a problem: the higher our confidence (f close to 1), the wider the range gets. With lower confidence the range gets narrower. It’s a bit like Heisenberg’s Uncertainty Principle. If we want more confidence we have to sacrifice prediction error, and if we want a tighter range we have to sacrifice confidence. With 100% confidence the solution range becomes infinite, as you can see in this chart2.
Chart of how the range between Tmin and Tmax varies in Gott’s inequality, taken from [^2]
The Lindy effect
In 1964, in The New Republic magazine, the author Albert Goldman wrote about what he called Lindy’s Law: “the future career expectancy of a television comedian is proportional to the total amount of his past exposure on the medium”. Lindy’s is a restaurant on Broadway, New York, where comedians got together after performing in their shows.
Lindy’s restaurant, which gave this effect its name
The famous mathematician Benoit Mandelbrot coined the term Lindy effect in his book The Fractal Geometry of Nature. Later Nassim Nicholas Taleb developed it in greater depth in several of his works.
Taleb’s reformulation in his book Antifragile is the following:
“For the perishable, every additional day in its life translates into a shorter additional life expectancy. For the nonperishable, every additional day may imply a longer life expectancy.”
Or in simpler terms: given that we have been listening to Beethoven for more than 200 years, to the Beatles for 50 years and to Taylor Swift for 10, we will probably keep listening to them for another 200, 50 and 10 years respectively.
But, according to Mandelbrot, if they fall out of favor, they will do so in half the expected time. That is, in Taylor Swift’s case, her relevance may last 10 more years, but if she fades, it will happen within 5 years.
Taleb puts it the following way when talking about the life of a project:
Let’s say a project is expected to finish in 79 days
\[..\]On day 79, if the project has not finished, it will be expected to take another 25 days to complete. But on day 90, if the project still has not been completed, it should have 58 more days to go. On day 100, it should have 89 more days. On day 119, another 149 days should be expected. On day 600, if the project is not done, you will be expected to need an extra 1,590 days. As you see, the longer you wait, the longer you will be expected to wait.
Which isn’t very encouraging, by the way.
The life of projects tends to grow exponentially, so it’s better to split them up, following a strategy of small, continuous deliveries, with errors kept local.
Things that have stood the test of time tend to endure. And in the case of projects, the longer they drag on the more likely they are to keep dragging on. “What doesn’t kill you makes you stronger”, says Nietzsche, and it seems projects are very tough beasts.
The trick is to turn a project into something perishable. As Zed Shaw advises, it’s better to kill a project early. If you don’t, you will face the Lindy effect.
Taken from the article ¿Cuánto tiempo dura algo? De la inecuación de Gott al efecto Lindy (How long does something last? From Gott’s inequality to the Lindy effect) on the blog Pensamiento Sistémico. ↩︎ ↩︎
In the article from note 1 the author shares an Excel spreadsheet, which is where the chart shown comes from. ↩︎
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