Fun weekend side project using openai GPT3.5. Go and solve all your problems.
As an aside, prompting to tweak the finer aspects of the output feels like (my?) cooking most of the times. Lots of guessing and feeling out and never sure if this works.
Hey! I'm the author of this article. I apologise for that particular phrasing. I sincerely meant it as a pool of men, pool of women kinda way. I was trying to be dispassionate about it, which may have come across as insensitive. Apologies.
I was trying to base my tone on these articles that got me thinking
Economist's analysis of marriage in China :
https://www.economist.com/special-report/2017/11/23/a-distor...
Hey!
I'm the author of this article. I completely understand this criticism. I was very afraid of how this might come across. My sincere apologies for this. My intention was to highlight the effect skewed sex-ratios have on the population, as an aggregate. I abhor the thought of men acting entitled to women, and being treated as possessions. But I also wanted to highlight the impact that is already being felt in countries such as china where 'family life' is taught to be a 'truth' that every human must go through. Sorry again!
It has to be possible to talk about the effects of this phenomenon on all people, as well as the related changes in behavior people choose. We're all new to that, so I think we're all figuring out what language is appropriate. So we all have to be open to discussing that too. Thanks for that openness!
i didn't read that tone at all. just numbers, lots of numbers. yup, china is the same. maybe less strong as the chinese are getting more and more affluent.
This is a data story blog, on India. We just released a story on Indian Demographics - unequal representation due to the 1976 constitutional amendment, missing women in the population and many more.
Feedback/ criticism is really appreciated! :)
Wow!
I just released a data story on Indian population with a section on "Case of the missing women"[0]. This has profound effects on a society like India, even 2-3 decades later!
Nice work! I created a couple of charts illustrating similar ideas before (https://sainathadapa.github.io/blog/population-pyramids/). Minor request for change: In the graphs for population, density and fertility rate, you are showing the district boundaries, but it seems the underlying data you are using is for states isn't it? Why then show the boundaries of individual districts?
beautiful work Vivek. one typo... your graphic on the food landscape says "MishItidoi" instead of "Mishtidoi"... the text heading is fine. Since this was so well done and clearly prepared with (heart)... didn't want that to stick out... especially to a bong like me :P
As an aside, prompting to tweak the finer aspects of the output feels like (my?) cooking most of the times. Lots of guessing and feeling out and never sure if this works.