Here is a page linked to the research and modeling I ascribe in my talk: http://sites.lsa.umich.edu/scottepage/research-2/diversity-r...
Specifically:
http://sites.lsa.umich.edu/scottepage/wp-content/uploads/sit...
http://sites.lsa.umich.edu/scottepage/wp-content/uploads/sit...
http://sites.lsa.umich.edu/scottepage/wp-content/uploads/sit...
> it speaks of diversity in knowledge and problem solving approaches, rather than race, gender, age and other identifying features
The key piece is how you connect that statement to your next statement of what defines 'top' and 'very good'. Your heuristic is coding output. Code and programming has context. In most cases, it's a business context.
The point is value can be derived from experiences uniquely tied to race and gender, especially given how we're taught race and gender. It often doesn't coincide with reality.
That intrinsic value, of lived experience, shapes thought. It shapes how people approach problems. That value has to be tapped. Those evaluating talent (and its potential) often cannot 'see' why it should be a factor.
This is a limitation of the evaluators' local optima (referenced in the research).