Tag Archives: seattle
— Richard Sprague (@sprague) January 27, 2015
Richard Sprague is interested in understanding peak performance. Over the last few years he’s been tracking various aspects of this life to try and understand what helps and what hinders. Inspired by our friend and renowned self-experimenter, Seth Roberts, Richard decided to test if consuming fish oil affected his response time. Using a simple reaction time test developed by Seth to test if butter made him smarter, Richard tested himself when he was and was not taking fish oil pills. In this talk, Richard explores his data and discusses what he found out when he ran his analysis.
Eric Jain stumbled upon a study published in 2013 that found the a full moon was associated with less sleep. Being an avid self-tracker and a toolmaker he decided to find out if that was true for him as well. Eric used his tool, Zenobase, to import, aggregate, filter, and then analyze his sleep data in a few unique ways. While he found some evidence that a full moon was associated with less total sleep he wasn’t able to make any statistically significant results. Watch his short video below, filmed at the Seattle QS meetup group, then take a look at his great screencast where he walks through all his steps to complete this analysis.
Jae Osenbach LOVES chocolate. Unfortunately, her body does too. She decided to go on a calorie-restricted diet of 1200 calories a day for 6 weeks and track her weight loss. In the lively video below, Jae talks about her experiments with nuts vs. no nuts and chocolate vs. no chocolate, and her surprising T-test results. She has also kindly posted her slides and instructions for how to add an analysis toolpak to Excel. Hooray for chocolate! (Filmed by the Seattle QS Show&Tell meetup group.)
Amelia Greenhall, of QS Seattle, describes five simple and powerful self-tracking experiments she has been doing over the past few years that feel like getting gold stars. For example, she records everything she has learned, done, read, or accomplished each month. Check out Amelia’s insightful lessons in the video below.
Steven Jonas discovered through an EEG assessment that he had a strong “freeze” response to stressful situations. This inspired him to use his emWave to monitor his stress levels, hack it to alert him whenever he got too stressed, and change his patterns at work. Check out Steven’s open, inspiring story in the video below, filmed at Quantified Self Seattle, as well as his slides.
Leigh Honeywell has always had trouble getting herself to go to bed, so she started tracking her sleep to make sure she was getting enough rest. In the video below, filmed at Quantified Self Seattle, Leigh talks about the different ways she measured sleep, how she caught up on her sleep debt, and what she learned about her anxiety and crashing.
Gustavo Glusman is a member of Leroy Hood’s group at the Institute for Systems Biology. At a recent Hood group retreat, the main topic of conversation was Quantified Self! In the video below, Gustavo gives a fascinating recap of the retreat, including how the researchers talked about QS, what experiments they did on themselves, and the main challenges they see with QS from a scientific perspective. (Filmed by the Seattle QS Show&Tell meetup group.)
In this talk, Beau Gunderson shares a way to bring all of your disparate data sets, from Facebook to Twitter to Foursquare to Zeo to Fitbit to Runkeeper, together in one collection to be accessed through simple APIs. It’s part of an open source development effort called The Locker Project. The hope is to be able to see new patterns and correlations by bringing these sources of data together. Beau learned some interesting things about himself, and had fun playing with different questions he had about his data. (Filmed by the Seattle QS Show&Tell meetup group.)
Dr. Mark Drangsholt is a long-time self-tracker who also teaches evidence-based medicine at the University of Washington. He has tracked blood pressure and exercise, atrial fibrillation and what triggers it, deep sleep and sex, diet and body fat. In the video below, Mark shares what he learned about his arrhythmia triggers, and how his self-tracking data helped sway his cardiologist to do a less invasive procedure. He also makes a great case that Quantified Self experiments can be more scientifically valid than many of his colleagues would like to admit. (Filmed by the Seattle QS Show&Tell meetup group.)
Robby MacDonell from RescueTime tried many different tools to form habits, and didn’t find that any of them worked. After a good deal of frustration, he started to investigate the idea of having goals at all. In this great talk, Robby honestly shows data that isn’t pretty – hooray! He also shares some really interesting insights on how to make the process of behavior change gentler, from personal and system design perspectives. (Filmed by the Seattle QS Show&Tell meetup group.)