Hope Reese

Hope Reese is an American journalist and nonfiction author based in Budapest, Hungary.[1] She is the author of The Women Are Not Fine: The Dark History of a Poisonous Sisterhood (2025), published by Brazen Books, an imprint of Hachette UK,[2] and a featured author in Where Freedom Starts: Sex Power Violence #MeToo, published by Verso Books in 2018.[3][4][5]
Early life and education
Reese grew up in Southampton, New York.[1] She studied psychology at Bowdoin College and earned a Master of Liberal Arts in journalism from Harvard Extension School.[1]
Career
Reese has contributed to publications including The New York Times, The Atlantic, Vox, The Boston Globe, and the Chicago Tribune.[1] From 2015 to 2017, she was a staff writer at TechRepublic.[6][7] In 2016, her article using artificial intelligence to predict the Kentucky Derby superfecta attracted coverage from Newsweek, CBS News, and ESPN.[6][7][8]
The Women Are Not Fine
The Women Are Not Fine examines a series of early 20th-century arsenic poisonings in rural Hungary, known as the "angel makers of Nagyrév" case, in which a midwife distributed poison to local women who killed their husbands.[2] The book was reviewed by The Telegraph, the Literary Review, and Könyves Magazin.[9][10][11] Foyles listed it among its Top 10 Reads for July 2025.[12] The book was featured on BBC Radio 4's Woman's Hour, The Irish Times Women's Podcast, and ABC Radio National's Nightlife, where Reese discussed the case and her research.[13][14][15]
References
- ^ a b c d "Where Are They Now: Journalist Hope Reese Digs Into a Poisonous Sisterhood in New Book". 27east. 2025-07-13.
- ^ a b "Brazen acquires 'bitingly feminist' true crime book from Reese". The Bookseller.
- ^ "Where Freedom Starts". Verso Books.
- ^ Onwuemezi, Natasha (March 6, 2018). "Verso releases free #MeToo e-book". The Bookseller.
- ^ McLemee, Scott (March 1, 2018). "A Long View of Me Too". Inside Higher Ed.
- ^ a b Purdum, David (January 14, 2017). "A.I. platform that nailed Derby tabs Green Bay for Super Bowl win". ESPN.com.
- ^ a b "Artificial intelligence: Key to Kentucky Derby betting?". CBS News. May 10, 2016.
- ^ "Artificial Intelligence Turns $20 Into $11,000 in Kentucky Derby Bet". Newsweek.
- ^ "Natasha Cooper - July 2025 Crime Round-up". Literary Review. February 2, 2026.
- ^ Moller, Violet (July 7, 2025). "The Hungarian women who poisoned 101 villagers – including their husbands". The Telegraph. ISSN 0307-1235.
- ^ "Meg lehet érteni a férjgyilkos magyar nőket? Amerikai szerző írt a tiszazugi asszonyokról". Könyves magazin (in Hungarian). July 8, 2025.
- ^ "The Women Are Not Fine by Hope Reese | Foyles". www.foyles.co.uk.
- ^ "Woman's Hour". Woman's Hour. 2025. BBC Radio 4.
- ^ "The angel-makers of Nagyrév: the story of the village where women poisoned their husbands". The Irish Times. August 25, 2025.
- ^ "Nightlife". Nightlife. 2025. ABC Radio National.
External links
Content Disclaimer
Informasi ini disarikan dari Wikipedia dan disajikan kembali untuk tujuan edukasi. Konten tersedia di bawah lisensi CC BY-SA 3.0. Kami tidak bertanggung jawab atas ketidakakuratan data yang bersumber dari kontribusi publik tersebut.
- The information displayed on this website is sourced in part or in whole from Wikipedia and has been adapted for the purpose of restating it. We strive to provide accurate and relevant information, however:
- There is no guarantee of absolute accuracy. Wikipedia is an open, collaborative project that can be edited by anyone, so information is subject to change.
- It is not intended to constitute professional advice. The content displayed is for informational and educational purposes only. For important decisions (e.g., medical, legal, or financial), please consult a professional.
- Content copyright. Wikipedia is licensed under the Creative Commons Attribution-ShareAlike License (CC BY-SA). This means that content may be reused with appropriate attribution and shared under a similar license.
- Responsible use. Any risk arising from the use of information from this website is entirely the responsibility of the user.