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Tag Archives: food
Amelia Greenhall on Using Moving Averages for Maintenance
We’ve posted some great talks by Amelia Greenhall here on the blog and we’re excited to bring you another insightful presentation. Last year Amelia gave a wonderful talk about her weight loss journey and the power of using running averages. In this updated talk Amelia gives a more in-depth look about how using a 10-day moving average serves as an “early warning system” that puts helps put her back on the path of mindful eating. Filmed at the QS Silicon Valley meetup group
Hugo Campos on Going Vegan in December
Hugo Campos lives with arrhythmia, and is a self-professed data nudist. He decided to do an experiment last December to improve his health and his heart – going vegan and taking beautiful pictures of every single meal he ate to post to a public Flickr set. In the video below, Hugo gives an animated talk about what inspired him, what challenges he faced, and what he learned. Find out if he’s decided to continue eating vegan! (Filmed by the Bay Area QS Show&Tell meetup group.)
Hugo Campos – Going Vegan in December from Gary Wolf on Vimeo.
Denisa Kera on DNA Dinners
Denisa Kera is a professor, philosopher and designer interested in DNA and food data. She asks, what happens when people share data in social situations? She organizes DNA Dinners at a local hackerspace to experiment with this question. In the video below, Denisa talks about how she turned her genetic data into a bruschetta dish, what other kinds of data she wants to include in future dinners, and why she’s questioning whether or not to publicly share her data. (Filmed by the Singapore QS Show&Tell meetup group.)
Randy Sargent on Tomatoes and Irritability
Randy Sargent has an hypothesis that eating certain foods, like tomatoes, makes him irritable and anxious. He asked himself, “How can I structure an experiment on myself so that I don’t know whether I’m eating tomatoes or not?” and “How would I go about quantifying my irritability?” In the video below, he explores ways to go about designing the experiment, with some fun input from the audience. (Filmed by the Pittsburgh QS Show&Tell meetup group.)
Randy Sargent – Discussing experimental design from Quantified Self Pittsburgh on Vimeo.
Rob Portil on Weight Loss and Muscle Gain with FitBit
Rob Portil is sixty-six years old and has been overweight twice in his life. He’s been using FitBit for the past four months, and has reached his target weight. In the video below, he describes how he experiences the daily tracking, how his sweetheart experiences it differently, which Four Hour Body workouts he does, and some key eating tricks he learned along the way. (Filmed by the Bay Area QS Show&Tell meetup group.)
Trust Your Results: Afternoon Sessions on Food and Health
In the last session of the day, we had a few experimental talks on noticing how food changes physical condition. It was also an interesting series of talks that shows the importance of collecting our own subjective data to back up or refute the other technological data that we might also have access to.
I kicked off the session with my talk “Quantifying My Genetics: Why I have been banned from caffeine”. My colleagues and friends helped me quantify my behavior after one, two, or three cups of coffee by giving my agitation a number from 0-10.
I found out that I’m a slow caffeine metabolizer from my genetic results and it seems like there is a correlation between how caffeine affects me and my genes. My genes are not deterministic, I couldn’t have known how caffeine affects me without making my own independent observations.
On a fun note, the crowd guessed that I had one cup of caffeine today, they were right, I had a cup of tea earlier down in the restaurant, away from the conference.
Next we had Martha Rotter who talked about how she experimented with her diet to solve her skin problems after doctors told her there was not much she could do. She did one allergy test where the results said she was allergic to chicken and soy- but after cutting out both of those foods, she did not see any changes but it gave her the idea to test different food groups.
After her experiment with a chicken and soy-less diet, she tried a few other food groups, eventually hitting on cutting out dairy. Her skin cleared up within two weeks of stopping drinking milk, eating cheese.
I think the take away message from our two sessions this afternoon, don’t be afraid to do your own testing, trust in your results.
Robin Barooah: I am broken, or I can learn
Robin Barooah gives an insightful talk below on embodied learning. He used a binary self-tracking system, without keeping any of the data, to train his body to know what foods made him feel energized or lethargic. This awareness helped him to lose 45 pounds over the course of several months, but more importantly, it serves as a model of the power of self-tracking to develop intuition and well-being. (Filmed at the inaugural Quantified Self Silicon Valley meetup hosted by Stanford’s Calming Technologies lab.)
Cedric Yau on The Well+Tuned Life
Cedric Yau trains in kung fu 12 hours a week. He wanted to track his his activity and energy levels, so he created a text-messaging service called Well+Tuner, where he also records notes for how he feels on different days. He learned how to time his food intake and 50 daily supplements for maximum energy, correlated his dating success with his mood, and discovered which exercises were most helpful for healing from an injury. A great self-experimentation story! (Filmed at the June 2011 New York Show&Tell meetup)
Cedric Yau 6-2011 from Steven Dean on Vimeo.
QS Interview: Epilepsy’s Big Fat Miracle
Sam, age 9, is the son of my Wired colleague Fred Vogelstein and his wife Evelyn Nussenbaum. Last year, Fred published a remarkable story in the New York Times magazine, Epilepsy’s Big Fat Miracle, about how he and Evelyn treat Sam’s epilepsy with a high fat and nearly zero carbohydrate diet. In an average week, Fred wrote:
Sam consumes a quart and a third of heavy cream, nearly a stick and a half of butter, 13 teaspoons of coconut oil, 20 slices of bacon and 9 eggs.
This dietary treatment dropped the number of Sam’s seizures from more than a hundred a day to about 30; the addition of two drugs got them down to fewer than six.
Fred’s account is fascinating, please go read the whole thing. I called him soon afterward to ask him some questions about how exactly he tracks Sam’s diet so closely. A few days later I interviewed Evelyn. Keep in mind that Fred and Evelyn are not tracking only calories, but also the composition of the food Sam eats.
Fred gives a brief picture of how they do it in his story:
Evelyn, who gave up her career to take on the now full-time job of feeding Sam, plans meals on the kitchen computer using a Web-based program called KetoCalculator. It is hard to imagine how to administer keto without it. A meal for Sam might have eight ingredients. Mathematically, there are potentially millions of combinations — a bit more of this; a bit less of that — that gets you to a 400-¬calorie meal and a 3-to-1 ratio. KetoCalculator does the math. Every ingredient — butter, cream, bacon, oil, eggs, nuts and fruit — is weighed to the 10th of a gram on an electronic jeweler’s scale. When Evelyn comes up with a recipe that works, she hits “print” and files it in a black loose-leaf binder. We now have more than 200 recipes.




















