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Here's a recap.

- The guy was a principal engineer at Mailchimp.

- Assumes he solved the problem of organizational complexity.

- Quotes the Stanford Encyclopedia of Philosophy instead of any relevant operational or organizational research.

- Firms tend to ignore outside perspectives and examples. (which is often true)

- Assumes an organization is a distributed computational process. (it's not)

- Kant.

- The *amount* of work (i.e. work hours) a company can dish out grows linearly with headcount.

- Time for parallel tasks amortizes to zero if more resources are added. (no idea what this means...)

- Assumes organizations only write software.

- Assumes people know or care what "superlinear productivity" is.

- Assumes productivity = added value.

- Says that orgs should optimize for individual productivity.

- Queue theory and King's formula and hand-waving about contention

- Management consultants are bad at writing code.

- (I gave up after that)




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