
Lost in Shangri-La: A True Story of Survival, Adventure, and the Most Incredible Rescue Mission of World War II - Paperback
Choose Option
Pay over time for orders over $35.00 with
Offers & Perks
Earn 14 points with this purchase
Added to your rewards balance after checkout.
100 points welcome bonus
Create an account and start with extra points.
A New York Times bestseller, the extraordinary World War II mission to rescue survivors of a U.S. military plane crash in an isolated corner of the South Pacific, and the ancient indigenous tribe members that aided those stranded on the ground in this "Shangri-La."
Award-winning former Boston Globe reporter Mitchell Zuckoffunleashes the exhilarating, untold story of an extraordinary World War IIrescue mission, where a plane crash in the South Pacific plunged a trio of U.S.military personnel into a land that time forgot. Fans of Hampton Sides' Ghost Soldiers, Marcus Luttrell's Lone Survivor, and David Grann's The Lost Cityof Z will be captivated by Zuckoff's masterfullyrecounted, all-true story of danger, daring, determination, and discovery injungle-clad New Guinea during the final days of WWII.
Mitchell Zuckoff is the Sumner M. Redstone Professor of Narrative Studies at Boston University. He covered 9/11 for the Boston Globe and wrote the lead news story on the day of the attacks. Zuckoff is the author of seven previous works of nonfiction, including the number one New York Times bestseller 13 Hours: The Inside Account of What Really Happened in Benghazi, which became the basis of the Paramount Pictures movie of the same name. His earlier books also include the New York Times bestsellers Lost in Shangri-La and Frozen in Time. As a member of the Boston Globe Spotlight Team, he was a finalist for the Pulitzer Prize in investigative reporting and the winner of numerous national awards. He lives outside Boston.
Contributor(s)
Author
Free shipping on orders over $75. Standard shipping takes 3-7 business days. Eligible items may be returned within 30 days of delivery. Conditions apply.


