Price: $16.99 - $7.51
(as of Sep 06, 2024 19:12:39 UTC – Details)
* HUGO AWARD WINNER: BEST NOVELLA * NEBULA AND LOCUS AWARDS WINNER: BEST NOVELLA *
“[An] exquisitely crafted tale…Part epistolary romance, part mind-blowing science fiction adventure, this dazzling story unfolds bit by bit, revealing layers of meaning as it plays with cause and effect, wildly imaginative technologies, and increasingly intricate wordplay…This short novel warrants multiple readings to fully unlock its complexities.” —Publishers Weekly (starred review)
From award-winning authors Amal El-Mohtar and Max Gladstone comes an enthralling, romantic novel spanning time and space about two time-traveling rivals who fall in love and must change the past to ensure their future.
Among the ashes of a dying world, an agent of the Commandment finds a letter. It reads: Burn before reading.
Thus begins an unlikely correspondence between two rival agents hellbent on securing the best possible future for their warring factions. Now, what began as a taunt, a battlefield boast, becomes something more. Something epic. Something romantic. Something that could change the past and the future.
Except the discovery of their bond would mean the death of each of them. There’s still a war going on, after all. And someone has to win. That’s how war works, right?
Cowritten by two beloved and award-winning sci-fi writers, This Is How You Lose the Time War is an epic love story spanning time and space.
From the Publisher
Publisher : S&S/Saga Press; Reprint edition (March 17, 2020)
Language : English
Paperback : 224 pages
ISBN-10 : 1534430997
ISBN-13 : 978-1534430990
Item Weight : 6.4 ounces
Dimensions : 5.5 x 0.6 x 8.25 inches
Customers say
Customers find the writing style beautiful, snarky, and sweet. They describe the book as a wonderful, dense read. They also find the romance plot brilliantly executed, profound, and original. Opinions are mixed on the entertainment value, with some finding it highly enjoyable and grand, while others say it’s not compelling or interesting. Readers also have mixed feelings about the characters, with others liking them and others not enough about them.
AI-generated from the text of customer reviews
