It's 2059, and the Rich Kids are Still Winning
Appearance
"It's 2059, and the Rich Kids are Still Winning" | |
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Short story by Ted Chiang | |
Language | English |
Genre(s) | Science fiction |
Publication | |
Published in | The New York Times |
Publication type | Newspaper |
Publication date | May 27, 2019[1] |
"It's 2059, and the Rich Kids are Still Winning" is a science fiction short story by American writer Ted Chiang, initially published on May 27, 2019, by The New York Times, as the first installment in a new series, "Op-Eds from the Future".[1][2][3]
Plot summary
[edit]In the future, scientists conduct an experiment to genetically modify poor children to improve their intelligence, so they have a better chance to succeed in life. While the experiment proves to be successful, and the children's IQ increases, they still fail to achieve social progress, because the entire state system favors the rich only.[4]
Awards
[edit]In 2020, the story was a finalist of the Locus Poll Award as Best Short Story.[5]
See also
[edit]- Inequality for All, a 2013 documentary film directed by Jacob Kornbluth and narrated by Robert Reich
- The Spirit Level: Why More Equal Societies Almost Always Do Better, a 2009 book by Richard G. Wilkinson and Kate Pickett
References
[edit]- ^ a b Chiang, Ted (May 27, 2019). "Opinion | It's 2059, and the Rich Kids Are Still Winning". The New York Times. Retrieved May 12, 2021.
- ^ "It's 2059, and the Rich Kids Are Still Winning". Dartmouth College. May 28, 2019. Retrieved May 12, 2021.
- ^ "The Seattle Review of Books – "It's 2059, and the Rich Kids Are Still Winning"". The Seattle Review of Books. May 29, 2019. Retrieved May 12, 2021.
- ^ Chiang, Ted (2019). ""It's 2059, and the Rich Kids Are Still Winning: DNA tweaks won't fix our problems"". Pennsylvania State University. Retrieved May 12, 2021.
- ^ "2020 Locus Awards Finalists". Locus Online. May 29, 2020. Retrieved May 12, 2021.
External links
[edit]- It's 2059, and the Rich Kids are Still Winning title listing at the Internet Speculative Fiction Database