| - English-medium education. - H1B visa share: 70% india, 10% china (2022). So that's 7x more Indians meaning even a random choice will likely end up with an Indian. This is 80% of the reason. Remaining 20%: - Assorted cultural reasons People make a huge deal about how making "broad cultural assumptions" is wrong but the fact is they play a role contextually. "As broad as the context, and no broader". Here's the logic behind it. Most of the things people do in their life they do not do because they innately want to do it, rather it is because they are expected, or incentivised to. Culture, when it is strong, sets a lot of incentives and expectations. Broad cultural assumptions in $CONTEXT work accurately when(and only when) said culture sets expectations and incentives that result in behaviours overlapping with those displayed in $CONTEXT. What I have heard from someone with 1st hand experience: For Indian/chinese culture, set CONTEXT=board_room, you will find a difference. Edit: it's important to add that these cultural differences are observable at the population level and not the individual level. i.e Akash Patel won't necessarily get the CEO position more often than Lee Wei. However, in a population of 100 Akash Patels and 100 Lee Weis, a larger fraction of Akash Patels will end up as CEO. Stereotypes are probabilistic information and thus lose their error bars as you take more and more samples. |