Finding Signal In A Noisy World, by Bob Strzempek, is a guide to help readers learn the art of spotting meaningful signals from the noise in today's world. It provides insights into how to analyse the environment and data to gain a better understanding of how signals progress and how to use that understanding to solve real-world problems. By learning the principles of pattern recognition, readers of this book will gain invaluable skills that will help them make well-informed decisions.
Key Learnings:
- Analyse environment and data to gain a better understanding of signals
- Understand how signals progress in society
- Develop strong pattern recognition skills
This book is ideal for UX Designers looking to gain a better understanding and deeper insights into the world around them. UX Designers can also benefit from exploring topics such as user behaviour and decision-making, which are important components of the modern user experience. Other books of interest for UX Designers could include Thinking with Data by Max Shron and Hacking the User Experience by Brad Nunnally.
🎀 Highlights
Data is a legacy of our existing models — not these new ones. New ones need to be intuited to predict what will happen instead of forecasted using historical data. We simplify the models in our brains to save time and as a result, most people fall into the trap of predicting their future behavior by looking back at their past.
even harder to understand general purpose technologies like Artificial Intelligence that affect all industries or predict their rate of progress. Because these General Purpose technologies apply to most value creation over time,
we can easily underestimate the corresponding impact on every business and in turn, our lives. For
the unfortunate system we live in, and it has vastly negative consequences. Because we measure a system from within the system, for most of the population, it would make the truth virtually impossible to see.
By consequence, it is completely logical to see conspiracy theories, confusion, polarization, in-​group, out-​group bias, and social chaos reign.
approximately 4 orders of magnitude larger than Bitcoin’s market cap today) and the Federal Reserve and other Central Banks eased or tightened in fiat terms, it would only amplify the entire process described here and create additional confusion.
Bitcoin (on layer 1) solved (a) Decentralization and (b) Security. Never in history has society had decentralization and security together.
Data is a legacy of our existing models — not these new ones. New ones need to be intuited to predict what will happen instead of forecasted using historical data. We simplify the models in our brains to save time and as a result, most people fall into the trap of predicting their future behavior by looking back at their past.
even harder to understand general purpose technologies like Artificial Intelligence that affect all industries or predict their rate of progress. Because these General Purpose technologies apply to most value creation over time,
we can easily underestimate the corresponding impact on every business and in turn, our lives. For
the unfortunate system we live in, and it has vastly negative consequences. Because we measure a system from within the system, for most of the population, it would make the truth virtually impossible to see.
By consequence, it is completely logical to see conspiracy theories, confusion, polarization, in-​group, out-​group bias, and social chaos reign.
approximately 4 orders of magnitude larger than Bitcoin’s market cap today) and the Federal Reserve and other Central Banks eased or tightened in fiat terms, it would only amplify the entire process described here and create additional confusion.
Bitcoin (on layer 1) solved (a) Decentralization and (b) Security. Never in history has society had decentralization and security together.
