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.
Where has capitalism gone wrong? Why are advanced capitalist economies so sick and why do conventional policy solutions, such as reduced taxes and increased money supply, produce only wider income disparity and inequality?
We now live in a new world in which we enjoy the highest living standard in history, acquiring ever more goods and services as necessary luxuries. Yet current policies only serve to expand public debt and exacerbate socio-economic inequality.
In Too much stuff, Yamamura upends conventional capitalist wisdom to provide a new approach. He suggests the only way for capitalism and democracy to thrive is to increase investment to meet societal needs such as improving social safety nets, infrastructure, and better education and health care for all, but this means raising taxes. Both solutions-orientated and accessibly written, this book argues that this will help reduce the growing wealth gap which threatens global democracy.
With fascinating examples from the US, Japan and Germany, as well as convincing evidence from across the Western world, this bold book challenges the economic orthodoxy and offers practical steps forward that we can all support.
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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