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Shelly's avatar

Firstly, I just want to say I agree with the vast majority of what you said. There is a huge race issue and this is yet another facet of it which you’ve pointed out. I also admire the research you have done which must have taken a long time to compile and analyse.

I just wanted to add a couple of thoughts that I feel are relevant:

- some of the metrics don’t really allow for character nuances: for example saying about Mel with her relatively short answers. If you consider her character with her autism etc then it wouldn’t make sense for her to be marching round giving long speeches because she’s not that kind of person. We see her struggling to keep masking the whole day because of her stress I think the dialogue she has does have fits in with Mel’s character. I don’t think using the amount of words Mel said is a particularly effective metric for measuring whether the performance was Emmy worthy as you also have to consider the context and nuance of the performance. (Even though it’s obviously definitely part of it)

- Another similar story based issue I just wanted to highlight is that I think that it’s normal for women (especially people of colour) to speak less in the workplace. Unfortunately men, especially white men, dominate in leadership positions in the workplace and I feel they are also ALLOWED to speak more. Like imagine if a woman spoke to people the way Robby spoke to people last season, people would be up in arms, calling her curse words etc but the same behaviour in men is allowed, even celebrated. What I am trying to say is that I think keeping it so the white men seem to almost monopolise speech in a way is actually a more realistic portrayal of how the voices of women are suppressed in the workplace. This doesn’t detract from the fact though that I personally think it’s wrong it’s like this and it’s wrong that more opportunities weren’t given to let women shine in other contexts etc like we could have scenes of women talking amongst themselves, more scenes of only female members of staff treating a patient etc

- Tal Anderson, though obviously is not main cast, has made Instagram posts highlighting her Korean heritage; she also got a guest nomination sometimes she is left out of poc data (though the character she plays is portrayed as white I think)

- The Pitt definitely has a problem, made worse by both the way they’ve treat poc in their cast and the way that the showrunners (including wyle) dismiss and ignore the fact that there is an issue at all, it’s unfair and they really need to take their blinders off

- The Emmys and the Television Academy as a whole also has a huge diversity problem. This year saw the lowest number of nominations for people of colour since 2015. In 2015 there were 18; this year there were 22. In the interim there had been some improvements, but since 2021 it’s been sharply declining again. The 22 nominations this year is a loss of 21% compared to 2025 which is really quite surprising and disappointing. What I am trying to say is that the Pitt isn’t the only place where there are problems; the industry as a whole needs to examine itself and its treatment of poc and women.

I also agree that the writing this previous season wasn’t that good to justify the amount of nominations the show received; especially compared to season one.

Imo Isa Briones in particular has been snubbed twice as I think she truly deserved a nomination last year for her complex and compelling performance as Santos. I feel really bad for Shabana,Isa, Supriya and Tracy; for the way they’ve been treated both on and off the show.

Anyway, these points aren’t meant to offend anyone or anything, I just wanted to share some of my thoughts on a few things that came to mind when reading your article. Once again I want to thank you for taking the time to write such a well thought out and well researched piece and I appreciate your time and that of your friend who helped you. Let’s hope that next year things improve - but then again, somehow I doubt it.

Ronnie's avatar

Wow! Such an insightful and detailed breakdown of the data. This was a super interesting use of distant reading, I'll be thinking about it for a while.

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