How to Prove Anything: 30 absurd research papers no one else was brave enough to publish

No degree, no problem! Diverse authors present their ideas to the world outside of a Substack account with 1-23 followers and a TikTok video. Key Features Discover new applications for familiar methods in everything from computer science to urban planning to psychology Learn to communicate your needs clearly, whether you’re a cat seeking food or a newly-single man trying to avoid a crucial misunderstanding on a dating app Manage your relationship with expert-tested techniques from a variety of disciplines Book DescriptionThis book collects popular essays from the renowned Cranberry-Lemon University Press’s most illustrious scholars. Despite their questionable research methods, bizarre obsessions, personal vendettas, and often stunning lack of impartiality, the authors have irrefutably broken new ground academically. How to Prove Anything sheds new light on a wide range of topics. Famed academics Dr. Tiffany Love and Dr. Chad Broman present a glimpse into their shared life via a series of papers that unravel the mysteries of modern romance. From time series analysis of mood swings to Pavlovian behavioral modification to sub-Nyquist sampling for balancing relationship attention with videogame performance, Chad and Tiffany find new and often startling uses for tried-and-true algorithms, gaining insights from which we can all benefit. Can I avoid arguments by predicting moods with time series analysis? Can linear programming help us determine who should do the dishes? And, most pressingly of all… Can I fix him? Academic writing has brought new knowledge into the world for hundreds of years. This book may be the most vital contribution of all. While some of the applications in this book may be niche even obscure reading will provide intellectual stimulation, spiritual enlightenment or, at the very least, some entertainment. What you will learn How a reinforcement learning algorithm can help you prioritize diners to maximize tips Apply Markov Chain-Monte Carlo methods to determine a foster dog's true name Locate the coldest part of a room on a very hot day Dispute insurance company verdicts with computational fluid dynamics analysis Who this book is forThis book is for anyone who needs to know how a Markov Process proves that it’s not worth investigating the Fermi Paradox because there probably aren’t any aliens and anyway even if there were they wouldn’t lie to you about this. Cats will learn vital new ways to get their humans to provide wet food. Anyone with any experience of academic writing will find something to learn from, or maybe just laugh at, in this collection.