My biggest take away from this lecture was that the greatest tool to understanding chaos is to frame it in as many different ways as possible, finding which frame is the most compatible with our existing tools of perception. It was really interesting to see how organizing word relationships in 3D space gives you the ability to judge those relationships in a really tangible way. It takes information that exists in our minds (as reflected by the medium of recorded text) and represents the most significant aspects of that data in way that utilizes our spacial reason to show us those relationships. I also appreciated the connection she made between these data extrapolation fields and autonomous recording of weather data from balloons. It's important to realize what these systems are at their lowest level, which are systems that process information on our behalf when we are unable or too impatient to do so.