Laws of Software Engineering

https://lawsofsoftwareengineering.com/

I love this website.

My favourite law from the site is Gilb's law: "Anything you need to quantify can be measured in some way better than not measuring it." There are many similar "laws" related to quantitative methods, for example, "There is no alternative to forecasting". These can all be seen as instances of the "perfect is the enemy of good" principle, and they refute a common objection to quantitative modelling: that the use case is too complex and the data are too poor. But I do not have to model reality perfectl, I only have to be better than the current situation, which is often "no model".