Good Talk: A Memoir in Conversations
Mira Jacob
A "beautiful and eye-opening" (Jacqueline Woodson), "hilarious and heart-rending" (Celeste Ng) graphic memoir about American identity, interracial families, and our most difficult conversations, from the acclaimed author of The Sleepwalker's Guide to Dancing. NAMED ONE OF THE TEN BEST BOOKS OF THE YEAR BY THE NEW YORK PUBLIC LIBRARY AND PUBLISHERS WEEKLY AND ONE OF THE BEST BOOKS OF THE YEAR BY The New York Times Book Review - Time - Esquire - Library Journal "How brown is too brown?" "Can Indians be racist?" "What does real love between really different people look like?" Like many six-year-olds, Mira Jacob's half-Jewish, half-Indian son, Z, has questions about everything. At first they are innocuous enough, but as tensions from the 2016 election spread from the media into his own family, they become much, much more complicated. Trying to answer him honestly, Mira has to think back to where she's gotten her own answers: her most formative conversations about race, color, sexuality, and, of course, love. Written with humor and vulnerability, this deeply relatable graphic memoir is a love letter to the art of conversation--and to the hope that hovers in our most difficult questions.
Award History
0 wins · 1 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| National Book Critics Circle Award for Memoir and AutobiographyMajor | 2019 | Finalist | Secondary source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact. Automated checks have flagged this profile for extra review.
01 Central figures
- Mira Jacob80%
02 Central places
None extracted with sufficient confidence.
03 Suggested argument
No argument inferred with sufficient confidence.
04 Reading orientation
35 / 100 academicSerious trade
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 78%.