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.
When it comes to relationships, there’s no shortage of advice from self-help ‘experts’, pick-up artists, and glossy magazines. But modern-day myths of attraction often have no basis in fact or – worse – are rooted in little more than misogyny. Based on science rather than self-help clichés, psychologist Viren Swami debunks these myths and draws on cutting-edge research to provide a ground-breaking and evidence-based account of relationship formation.
At the core of this book is a very simple idea: there are no ‘laws of attraction’, no fool-proof methods or strategies for getting someone to date you. But this isn’t to say that there’s nothing to be gained from studying attraction. Based on science rather than self-help clichés, Attraction Explained looks at how factors such as geography, physical appearance, reciprocity, and similarity affect who we fall for and why.
With updated statistics, this second edition also includes new content on online dating, queer relationships, racism in dating, shyness, and individual differences. It remains an engaging and accessible introduction to attraction relationship formation for professionals, students, and general readers.
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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