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(as of Aug 04, 2024 14:40:12 UTC – Details)
A “truly hilarious” (Glamour), sexy, and ultimately poignant memoir about mastering the art of the “vacationship” from a writer and co-executive producer of Hulu’s Only Murders in the Building—now with a new afterword
“What I Was Doing While You Were Breeding is kind of like if Eat, Pray, Love were written by your funniest friend.”—Rachel Dratch
Kristin Newman spent much of her twenties and thirties buying dresses to wear to her friends’ weddings and baby showers. Not ready to settle down and in need of an escape from her fast-paced job as a sitcom writer, Kristin instead traveled the world, often alone, for several weeks each year. In addition to falling madly in love with the planet, Kristin fell for many attractive locals, men who could provide the emotional connection she wanted without costing her the freedom she desperately needed.
Kristin introduces readers to the Israeli bartenders, Finnish poker players, sexy Bedouins, and Argentinean priests who helped her transform into “Kristin-Adjacent” on the road–a slower, softer, and, yes, sluttier version of herself at home. Equal parts laugh-out-loud storytelling, candid reflection, and wanderlust-inspiring travel tales, What I Was Doing While You Were Breeding is a compelling debut that will have readers rushing to renew their passports.
From the Publisher
ASIN : B00GVZZN32
Publisher : Crown (May 20, 2014)
Publication date : May 20, 2014
Language : English
File size : 3057 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Enabled
Word Wise : Enabled
Sticky notes : On Kindle Scribe
Print length : 306 pages
Page numbers source ISBN : 0804137609
Customers say
Customers find the storyline entertaining and relatable, featuring a travel memoir. They also describe the book as a fun, easy read with spontaneous occurrences. Readers appreciate the author’s honesty and vivid descriptions of her escapades. They love the author’s voice and personality. However, some find the plot uninteresting and obnoxious.
AI-generated from the text of customer reviews
