Price: $2.99
(as of Oct 08, 2024 03:14:20 UTC – Details)
From a New York Times bestselling author, a young boy is haunted by a voice in his head in this “epic horror” novel, perfect for fans of Stephen King (Dan Chaon, author of Ill Will).
Single mother Kate Reese is on the run. Determined to improve life for her and her seven year-old son, Christopher, she flees an abusive relationship in the middle of the night. At first, the tight-knit community of Mill Grove, Pennsylvania seems like the perfect place to finally settle down. Then Christopher vanishes. Days later, he emerges from the woods at the edge of town, unharmed but not unchanged. He returns with a voice in his head only he can hear, with a mission only he can complete: Build a treehouse in the woods by Christmas, or his mother and everyone in the town will never be the same again.
Twenty years ago, Stephen Chbosky’s The Perks of Being a Wallflower made readers everywhere feel infinite. Now, Chbosky has returned with an epic work of literary horror, years in the making, whose grand scale and rich emotion redefine the genre. Read it with the lights on.
One of The Year’s Best Books (People, EW, Lithub, Vox, Washington Post, and more)
From the Publisher
Customer Reviews
3.5 out of 5 stars
2,238
4.4 out of 5 stars
488
4.1 out of 5 stars
457
4.4 out of 5 stars
1,993
Price
$12.99$12.99 $8.99$8.99 $12.99$12.99 $2.99$2.99
ASIN : B07PKRX7YH
Publisher : Grand Central Publishing (October 1, 2019)
Publication date : October 1, 2019
Language : English
File size : 2502 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Enabled
Word Wise : Enabled
Print length : 721 pages
Customers say
Customers find the book amazing and well worth the time. They describe the story as suspenseful, intense, and original. Readers praise the writing style as creative, clever, and unique. However, some find the length too long, repetitive, and convoluted. Additionally, they mention the pacing is slow. Opinions are mixed on the writing quality.
AI-generated from the text of customer reviews
