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amadvance | 1 year ago

The linked article says something different:

'We first estimate the supply-side value by calculating the cost to recreate the most widely used OSS once. We then calculate the demand-side value based on a replacement value for each firm that uses the software and would need to build it internally if OSS did not exist. We estimate the supply-side value of widely-used OSS is $4.15 billion, but that the demand-side value is much larger at $8.8 trillion.'

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abtinf|1 year ago

The methodology used in the underlying paper is, to put it generously, not even wrong. Way past “assume a spherical cow” territory.

It supposes you could simply hire programmers to build OSS from scratch.

If you have ever worked on a large project in a corporation, you instantly know how shockingly ignorant this is.

Hint: many of them end in failure and are never released at all.

Then there are the massive amplifications that happen due to the mere existence of open source: learning, spreading of ideas, reusable tooling, and more.

Has any business school ever produced a paper worth a damn?

https://www.hbs.edu/ris/Publication%20Files/24-038_51f8444f-...

jvanderbot|1 year ago

As you say, whatever the real cost is, it's much higher than one that supposes every company could reproduce F/OSS. How amazing then, that even in this hypothetical universe where everyone could, we still wouldn't want to due to the enormous cost.

Providing a lower bound on value, and furthermore one that is astronomically high, is extremely useful as an eye-opener. This is a useful result for policy-makers.

mitjam|1 year ago

Spot on, and it forgets the creative aspect, it‘s like estimating the cost of reproducing all of the world‘s widely read literature. Who could recreate a Shakespeare from scatch, who a van Rossum?

doctorpangloss|1 year ago

> Has any business school ever produced a paper worth a damn?

The research from Fader at Wharton is pretty significant.

acc4everypici|1 year ago

it's not about any of that "reasoning"... what matters it the conclusions: the results.

and even more than that, what matters is the capability of the paper to sway the opinion of real power.

our experience dealing with power may vary, in mine, power does not respond to "reasoning" nor any of that stuff.

nonetheless, I agree with your sentiment. why does science demand replication? IMO, a key underlying consequence is that ideas must be transferred, given away before they can be science.

the ideology of "real" human-centric science is equivalent to open source mindset. so then, my question is what to call all that research that happens, privately, in secret and under a lot of NDAs.... it is not science; that is product development.

darby_nine|1 year ago

Delving deeper

> To reproduce all widely-used OSS once (e.g., the idea of OSS still exists, but all current OSS is deleted and needs to be coded from scratch), using programmers at the average developer wage from India, it would require an investment of $1.22 billion. In contrast, if we use the average developer wage from the United States, then reproducing all widely-used OSS would require an investment of $6.22 billion. Using a pool of programmers from across the world, weighed based on the existing geographic contributions to OSS as discussed above, would lead to an investment somewhere in between the low and high-income country, $4.15 billion.

Note that they just assume that you can basically hire programmers to type that out and extrapolate from lines of code. So I'm guessing this is off by at least one order of magnitude.

Granted, I'm not sure if I have a better option, but I'd probably start with sampling OSS contributors to figure out how much time they actually devote to OSS.

Paper is here for the curious: https://www.hbs.edu/ris/Publication%20Files/24-038_51f8444f-...

meiraleal|1 year ago

That's still a terrible underestimate. Meta alone spends more than this in VR yearly with development and they are not recreating more software than the whole OSS every year.

hyperpape|1 year ago

The method that paper used was as useless as it could possibly be.

https://hachyderm.io/@hyperpape/111784908079127255

jchanimal|1 year ago

Does this roughly equate to a 99.9% margin? Using comparable analysis if it was a company.

Terr_|1 year ago

> calculating the cost to recreate the most widely used OSS once

Let's not forget the new cost of taking those bajillion different implementations and making them compatible.