Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
This book argues for a mixed theory of legal punishment that treats both crime reduction and retribution as important aims of the state.
A central question in the philosophy of law is why the state’s punishment of its own citizens is justified. Traditionally, two theories of punishment have dominated the field: consequentialism and retributivism. According to consequentialism, punishment is justified when it maximizes positive outcomes. According to retributivism, criminals should be punished because they deserve it. This book recognizes the strength of both positions. According to the two-tiered model, the institution of punishment and statutory penalties, as set by the legislature, are justified based on their costs and benefits, in terms of deterrence and rehabilitation. The law exists to preserve the public order. Criminal courts, by contrast, determine who is punished and how much based on what offenders deserve. The courts express the community’s collective sense of resentment at being wronged.
This book supports the two-tiered model by showing that it accords with our moral intuitions, commonly held (compatibilist) theories of freedom, and assumptions about how the extent of our knowledge affects our obligations. It engages classic and contemporary work in the philosophy of law and explains the theory’s advantages over competing approaches from retributivists and other mixed theorists. The book also defends consequentialism against a longstanding objection that the social sciences give us little guidance regarding which policies to adopt. Drawing on recent criminological research, the two-tiered model can help us to address some of our most pressing social issues, including the death penalty, drug policy, and mass incarceration. This book will be of interest to philosophers, legal scholars, policymakers, and social scientists, especially criminologists, economists, and political scientists.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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