This particular excerpt resonated with me: > It’s hard to avoid a disheartening conclusion: Quantitative social science is barely relevant in the real world – and almost every social scientist covertly agrees. The complex math that researchers use is disposable. You deploy it to get a publication, then move on with your career. When it comes time to give policy advice, the math is AWOL. If you’re lucky, researchers d…
I disagree, insofar in that qualitative social science is ineffective. It's effective. Nobody listens. The fallacy of "general management" means that general managers, who have a background in finance and cost/benefit, are not receptive to the idea that deep knowledge is extremely involved in leadership and decision making. Because then they'd be out of a job.
> It's effective. Nobody listens.
This is exaggerated but in the right direction. Consider A/B testing. We know that works. We know how. It’s been a big deal for well over a decade. And it’s still not standard. There are large, profitable companies that sell direct to consumers that don’t do it who would reliably, predictably get a 10% bump in profits off of doing it.
But it does grow. Selling things on the internet isn’t as competitive as highly liquid, transparent financial markets but people do pick up $100 bills lying on the street eventually.