Fuzz: When Nature Breaks the Law
Mary Roach
What’s to be done about a jaywalking moose? A bear caught breaking and entering? A murderous tree? Three hundred years ago, animals that broke the law would be assigned legal representation and put on trial. These days, as New York Times best-selling author Mary Roach discovers, the answers are best found not in jurisprudence but in science: the curious science of human-wildlife conflict, a discipline at the crossroads of human behavior and wildlife biology. Roach tags along with animal-attack forensics investigators, human-elephant conflict specialists, bear managers, and "danger tree" faller blasters. Intrepid as ever, she travels from leopard-terrorized hamlets in the Indian Himalaya to St. Peter’s Square in the early hours before the pope arrives for Easter Mass, when vandal gulls swoop in to destroy the elaborate floral display. She taste-tests rat bait, learns how to install a vulture effigy, and gets mugged by a macaque. Combining little-known forensic science and conservation genetics with a motley cast of laser scarecrows, langur impersonators, and trespassing squirrels, Roach reveals as much about humanity as about nature’s lawbreakers. When it comes to "problem" wildlife, she finds, humans are more often the problem—and the solution. Fascinating, witty, and humane, Fuzz offers hope for compassionate coexistence in our ever-expanding human habitat.
Award History
0 wins · 1 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| Andrew Carnegie Medal for Excellence in NonfictionMajor | 2022 | Longlist | Official 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.
01 Central figures
None extracted with sufficient confidence.
02 Central places
None extracted with sufficient confidence.
These suggestions did not meet the normal display threshold and are more likely to be wrong.
- St. Peter’s Square45%
- Indian Himalaya42%
03 Suggested argument
No argument inferred with sufficient confidence.
This suggestion did not meet the normal display threshold and is more likely to be wrong.
For problem wildlife, humans are more often the source of the conflict than the animals themselves, and resolving it depends on science-informed, compassionate coexistence rather than jurisprudence.
Model confidence 55%
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%.