Maybe it's a scale thing. If you are sologeneer working on your own project, with a singular vision, making tools to make your life simpler is a no-brainer.
If you are implementing a feature for stakeholders on a large piece enterprise software, you don't necessarily have knowledge or understanding of helper tools from earlier work, so that's extra overhead to understand anything non-standard. Then when the stakeholders change direction (as they often do), any assumptions in your code may need to be upheld while implementing the next feature.
Edit: This is also why it's nice to use widely adopted libraries and frameworks for any helper code. That way a new starter has a chance of understanding what's going on.
For this to work I think the assumption is that the benefit of gerrymandering is less than the "anyone who doesn't like the in power guys" effect. e.g. % of disgruntled swing voters.
Maybe? I think the problem is does a small entity like a person or a start up have the resources to make that fight with a big entity? Even if it’s a really obvious and winnable case?
How do you compare non identical twins to the general population? Aren’t twins, even non identical likely to share the same diet, the same environmental factors and maybe even the same viruses etc - all could be contributing factors?