- Sometimes there's almost too much data and an over reliance on it. It leads to analysis paralysis and can often slow down progress rather than enable it. - It's important to realise that when we're capturing data why we're capturing and what we hope to learn from it. - One approach to overcome this paralysis is to ask [[Open Ended Questions]] and not just rely on solving problems are diagnosing issues through data. - People tend to have a [[Scarcity Mindset for Information]] --- "Over the past decade, farmers have been offered all manner of software tools to analyze and manage their crops. In general, though, the more software that farmers use, the more they find themselves overwhelmed by data that the tools collect. “We’re collecting so much data that you’re almost paralyzed with having to analyze it all,” one farmer told the Journal." - [Link](https://www.theverge.com/2023/8/25/23845590/note-taking-apps-ai-chat-distractions-notion-roam-mem-obsidian) "Klein’s piece starts from the observation that productivity growth is now about half of what it was in the 1950s and ‘60s. The internet’s arrival briefly speeded it up, he writes, but the more we stared at our screens the slower our productivity improved. He worries that AI will have a similar effect on the economy — promising to make us more productive, while simultaneously inventing so many new distractions and entertainments that they overwhelm and paralyze us." - [Link](https://www.theverge.com/2023/8/25/23845590/note-taking-apps-ai-chat-distractions-notion-roam-mem-obsidian)