Ellis Bartholomeus has many of the standard self-tracking tools like pedometers, heart rate monitors, and eeg sensors. But she explored a different type of tool when a friend gave her a logbook with a place to record her daily mood by drawing a smiley or frowny face on a colored circle.
Although it initially felt like a silly exercise, she was surprised by how she responded to these faces over time. There was a visceral pleasure to seeing these faces. Even though they were representations of her own emotional state, they seemed to take on a life of their own.
Although Ellis had the day-to-day pleasure of rendering her mood as a cartoon, she couldn’t resist the urge to structure these images to see bigger trends. You’ll see her amusing methods in the video. How do you measure a smiley face? (hint below)
Peter Torelli had $2000 saved when he entered college. He knew that it wouldn’t last long, so he had to be careful about his spending. He switched to using a credit card in order to have a record of his purchases and reconciled his accounts every month. It became a habit that he kept for a long time. A really long time.
Peter now has 20 years of financial data, and the way he’s logged his data has followed larger technological trends. Starting with manually logging transactions in Quattro Pro and storing his data on floppy disks, his data now resides on Quicken’s servers. These changes have brought better security with better backups, but also uncertainty about the ownership of his data and lack of flexibility to move his information elsewhere because of proprietary data formats.
One of the surprising findings is how many memories flooded back when he reviewed past transactions. Both memories and transactions are tied to places. A simple line item can trigger a forgotten moment with an out-of-touch friend. When Peter’s spending trends are displayed on a multi-year timeline, it’s not just a representation of his finances, but the chapters of his life as well.
There are many more great insights from Peter’s talk at the Quantified Self San Francisco meetup in April:
Taking 5: Work-Breaks, Productivity, and Opportunities for Personal Informatics for Knowledge Workers
By “approaching the question of break-taking objectives from a personal rather than an organizational angle” Daniel A. Epstein, Daniel Avrahami, and Jacob T. Biehl open a very interesting new set of questions to Quantified Self trackers and experimenters. The necessity of mental and physical renewal to work is well known and yet largely ignored. This paper, while preliminary and speculative, does us the service of challenging conventional wisdom about work breaks, showing that there is no simple definition for what activities count as breaks. -Gary
Why Talented Black and Hispanic Students Can Go Undiscovered by Susan Dynarski. Interesting article about how objective IQ testing of students for the gifted program in a Florida school district resulted in greater racial diversity. This contradicts the notion that IQ tests are biased against some groups and is a frightening indictment of teacher referral-based enrollment. -Steven
Social Network Algorithms Are Distorting Reality By Boosting Conspiracy Theories by Renee Diresta. In the battle to command our attention, media (and apps) have become like an evolving, antibiotic-resistant bacteria, finding new ways to manipulate our emotions and hijack our reward systems. The way information is presented by many online services preys on our biases, creating a new challenge for us as individuals to design our own experiences with the world to blunt the raw toxicity that is currently out there. But how do you do that in such a way that helps you become a better person, rather than creating your own, insulated bubble? -Steven
Who Will Debunk The Debunkers? by Daniel Engber. When a skeptic debunks a popular myth, it is usually accompanied by some story about how it actually happened, and how the myth spread. However, the same scrutiny is not often paid to this new story and is spread with the same lax attitude to veracity, as long as it comes from a solid-sounding source. As Daniel puts it, “It seems plausible that the tellers of these tales are getting blinkered by their own feelings of superiority — that the mere act of busting myths makes them more susceptible to spreading them.” -Steven
How maggots made it back into mainstream medicine by Carrie Arnold. According to the article, the use of maggots to clean wounds was gaining traction in the early 20th century. The practice was thrown out with the discovery of penicillin and the promise of a cleaner form of antibiotics. As bacteria have become more resistant to antibiotics, this “historical backwater” treatment is being looked at again. It’s assumed that patients would be put off by the “ick” factor, but the real barrier seems to be physcians. According to one nurse investigator: “Some care providers see it as ancient. ‘That’s old fashioned and ancient and we’re doing evidence-based practice’, which in their minds means new. But they’re not looking at the evidence behind larval debridement therapy, which there’s a lot of.” -Steven
How Information Graphics Reveal Your Brain’s Blind Spots by Lena Groeger. This is a great overview of the different tools that data visualizations can employ to help you understand a concept better and overcome some of your cognitive biases (or exploit them). -Steven
Mimicking the Fasting Mimicking Diet by Bob Troia. This is a fantastic experiment where Bob tests for himself a caloric restriction strategy where by “cutting daily calories in half for just four days every two weeks reduced biomarkers for aging, diabetes, heart disease and cancer with no adverse effects. FMD was tested on yeast, mice, and humans and the results remained consistent among all three groups.” Bob does a great job of tracking the effect the diet has on various bio-markers, showing the results visually and sharing his data. -Steven
Crying by Robin Weis is a deeply reflective self-tracking project that explores 589 days of crying data. Robin tracked every incident of crying over about a year and half, measuring and annotating 394 cries on 216 days. There is one day with 14 cries, and the longest stretch without crying is 23 days. Robin’s report from the project has many other analytic dimensions, which she uses to anchor elements of autobiography: change in in ways she handled family stress, a long stretch of travel, and an increase in awareness of injustice linked to becoming a feminist. She uses a relatively fine grained vocabulary of emotion to categories the cries. After all, as she point out: Not all cries are made equal. Some consist of a stray melancholic tear, and some consist of unstoppable laughter. Some represent the deep, achy detachment of a piece of your identity, and some can only be onset by too much hot pepper. Whatever the provocation, as soon as any emotion or sensation crosses some intensity threshold, it seems to manifest itself by physically leaking out of one’s eyes. And if that wasn’t strange enough, the thresholds appear to be drastically different across people and stimuli. What in the actual what?
Britain’s Diet in Data. Interesting interactive visualization that shows changes in British diets over the past 40 years. -Steven
Semantic Maps in the Brain. This is an incredible project where some researchers used an fMRI machine to map which parts of the brain showed increased activity in response to individual words while listening to the Moth Radio Hour. They then took that data and constructed a 3d-model and interactive visualization that allows you to select a spot in the brain and see which words are most likely to get a response from that area based on their predictive model. This page allows you to explore the semantic map of an individual. My understanding is that where we store information in our neocortex is individualistic. I wonder how much overlap you see across different people. -Steven
Ship Map. A beautiful interactive map of global shipping routes, but what sets it apart for me is the narration that introduces you to the visualization. Rather than show a video clip, it zooms around the interactive. -Steven
The Year that Music Died. This is a fun visualization that is a moving timeline of the top 5 songs on the Billboard charts from the past 60 years. As it moves through time, it will play a snippet of the song that was in the #1 spot at the time. For a bout of nostalgia, navigate to the years that you were in your early teens. -Steven
The emergence of self-tracking tools that came with the advent of the smartphone was a boon for people like Shannon Conners, who have long been recording their personal data with pen and paper. Her workout and food journals date back to her high school years.
Not content to let her data be incomplete, she has used novel sources for filling out her data sets, like going through her baby books for weight check-ins. Having a picture of her data that is comprehensive gives her a unique view. By adding annotations of major life events, she can see the vicissitudes of life reflected in her data.
Looking at her data side by side in JMP, her tool of choice, she sees how one affects the other. She determined that her cholesterol levels moved in the same direction as her weight, demonstrating to her that managing weight can be a good “surrogate variable” for keeping other biomarkers in check.
Her story may inspire you to increase your self-tracking diligence (it has for me). It has already inspired people around her. Her mother and sisters, after seeing her results with managing her weight, asked for Shannon’s coaching on how they can use self-tracking to help themselves. This is the value of sharing one’s methods: it can inspire others to change their ways of living and being.
The charts in this talk are fantastic, but they go by so quickly that I wanted to share them here so you can take them in. It should be no surprise that Shannon was featured in our QS Visualization Gallery and interviewed for the QS Radio podcast. You can keep up with Shannon on her blog, where she writes about her methods and what she’s learning.
**Update: The event is over, but you can watch the whole thing in the video below.**
Since 2014, Quantified Self Labs has put on a one day symposium in San Diego where we bring together toolmakers and public health researchers to support new discoveries about our health and the health of our communities that are grounded in accurate self-observation.
The stream starts at 9:00 AM and the schedule can be viewed here. I hope you’ll join us. Contribute to the conversation on Twitter with the hashtag #qsph16.
Abe had an issue with staying up too late. The early morning hours often found him on his couch, working on his laptop.
The problem is that he simply lost track of time. To help make his bedtime unforgettable, Abe built a reminder he could not ignore. He wrote a simple app that uses colors to gently prod him to get ready for bed and installed it on an old android phone that he mounted on the wall in his living room. When the screen first lights up in the evening, the colors are blue (“bedtime is coming.”) and increasingly become red (“bedtime is here.”). When he long-presses the screen, it means that he is ready to sleep, and the phone responds by lighting up with a celebratory array of colors.
It was a simple intervention, but did it work? Abe thought so. But the skepticism of friends spurred him to dig into the data to make sure. The problem was that his simple app didn’t record any data. He had an idea, though. For the past year, a webcam connected to a Raspberry Pi had been recording his living room. Abe used the light levels of the video stream as a proxy for his bedtime. When the light levels dropped, it meant that he had gone to bed. This proved to be a reliable indicator because, as Abe says, “I’m always the last one to sleep, and the last light I turn off is always the living room light.”
Would this work for you? Possibly not, but that’s not the point. It is an excellent example of a person building a solution that is specifically designed for his personality, and also how meaning can be found in the unlikeliest of datasets. In the video, you will find out how much sleep Abe saved and learn more about how he set up his device and ran the analysis.
The Anecdote is the Antidote for What Ails Modern Medical Science by John R. Adler, Jr. M.D. It’s hard to imagine anybody being more of a medical insider than Dr. John R. Adler, the founding editor of Cureus. Adler has a Harvard medical degree, served his residency at Massachusetts General hospital, and is a Stanford professor of neurosurgery, as well as founding CEO of a leading radiation oncology company, Accuray. This makes it especially heartening that Dr. Adler is now focused on opening up medical research literature to important kinds of evidence that have often been ignored: the anecdote and the case report. Quote: “The altruism that is supposed to drive the publication of scientific research has been almost entirely co-opted by the peculiar needs of academic promotion and tenure, as well as the pecuniary demands of the scholarly publishing industry; the public good of medical knowledge has been reduced to a mere after-thought by both academia and the publishing industry.” -Gary
You can train your body into thinking it’s had medicine by Jo Marchant. There is an experimental treatment where the patients always drink from a uniquely flavored beverage every time they take their medicine. After a while, the drug is taken away, but the drink is still consumed. Amazingly, the body continues to act like it received the drug. Considering that many of these drugs have terrible side effects, these findings can impact how medication is administered. -Steven
Fleming’s discovery of penicillin couldn’t get published today. That’s a huge problem by Julia Belluz. John Adler’s reflections on the value of anecdote, linked above, were inspired by this essay by Julia Belluz celebrating the creation of another new journal, called Matters, devoted to publishing reports of small scale experiments and observations. As the publishers write on their web site: “Observations, not stories, are the pillars of good science. Today’s journals however, favor story-telling over observations, and congruency over complexity. As a consequence, there is a pressure to tell only good stories. Moreover, incentives associated with publishing in high-impact journals lead to loss of scientifically and ethically sound observations that do not fit the storyline, and in some unfortunate cases also to fraudulence. The resulting non-communication of data and irreproducibility not only delays scientific progress, but also negatively affects society as a whole.” -Gary
Machine Learning for Easier Dieting by Samuel K. Moore.
“I had a half-cup of oatmeal, with two-tablesoons of maple syrup and a cup of coffee. Oh, I put a handful of blueberries in the oatmeal, and there was milk in the coffee. It was skim milk.”
It would be wonderful to log one’s food by speaking to your tracker in this natural manner. Machine learning may make it possible, but this article reviews some of the obstacles that need to be overcome when it comes to parsing speech. -Steven
A Case of Complete and Durable Molecular Remission of Chronic Lymphocytic Leukemia Following Treatment with Epigallocatechin-3-gallate, an Extract of Green Tea by Dawn Lemanne, Keith I. Block, Bruce R. Kressel, Vikas P. Sukhatme, Jeffrey D. White. This paper from Cureus about a notable clinical outcome offers an excellent example of the kind of research that might never come to light without the work of pioneering science publishers. -Gary
This Dude’s Fitness Tracker May Have Just Saved His Life by George Dvorsky. When a 42-year-old man recently went to the emergency room following a seizure, the doctors had to make a decision in how to proceed that depended on whether the man’s arrhythmia was caused by the seizure or was chronic. The answer was found in the man’s Fitbit data. -Steven
How Can I Stop Feeling Cold by Justin Timmer. A few years ago, I spent a winter wearing only a t-shirt when I went out. I was interested in how my body adapted to the cold over time. I am happy to see Justin attempt a similar thing but with more rigor. -Steven
Letter of Recommendation: Segmented Sleep by Jesse Barron. I’ve been long fascinated by the concept of segmented sleep, where people have a first and second sleep period during the night. I’ve read historical references of this phenomenon, but not many experiences from now. -Steven
Leave that Thermostat Alone! by Michael VanDaniker. Taking advantage of the ability to export his data from his electric provider, Michael compared his electricity usage against the outside temperature to get a better understanding of his electricity use (and created some nice visualizations in the process). -Steven
Resource: Home Hacking Blood Glucose by Jenny Horner. Jenny heard about a study in Israel that showed that post-meal blood sugar spikes differ highly according to the individual. For example, ice cream is fine for some, but sushi is not. Jenny decided to apply the findings to her life. She shares the method she is using to construct her own personal glycemic index. ‑Steven
Personal Information Manager by Fabian Benetou. Fabian’s site is a fascinating mind dump of many aspects of his life. Open to all, but comprehensible only to him, there is a voyeuristic pleasure in traipsing around and seeing a glimpse into someone else’s head (another fun example is Jerry Michalski’s “Brain”). In particular, I love seeing the notes that he keeps from the books he reads, which dovetails with my interest in commonplace books. ‑Steven
Arbor Ludi: “Un proyecto de visualización de datos compuesto por una serie de representaciones gráficas que reconstruyen el árbol de juego de ocho de los mejores ajedrecistas de la historia.” Each image in this beautiful and fascinating series of data visualizations represent the playing life of a chess master. Created by the design and architecture firm Ootro Estudio, the portraits are made out of data from every move from hundreds or thousands of published games (the number varies significantly between masters). The coral-like shape emerges from the fact that in chess the first moves are common and well known, while later moves inhabit a vast possibility space. For more on the technique, see this informative post on The Zugzwang Blog: Arbor Ludi: arquitectura mental de un genio del ajedrez. (In Spanish.) -Gary
All Those New Dinosaurs May Not Be New — Or Dinosaurs by Maggie Koerth-Baker. My first experience of the messiness of paleontology is when I learned that my mug with a green brontosaurus depicted an animal that never existed (though that may no longer be true). This chart shows how often a dinosaur genus is later declared to be invalid. The error rate for dinosaurs named between 1850 and 1980 is 48 percent! -Steven
Changing river path seen through satellite images by Zoltan Sylvester. Using Landsat images, this is a time lapse that shows, over a thirty year period, the oxbow section of the Ucayali river in Peru get pinched and then cut off from the main flow of the river. You can view thirty year timelapses like this for any location on earth at the Google Earth Engine. The Las Vegas one is an incredible example of urban expansion. -Steven
“The heartbeat is a treasure chest of information…”
Mark Leavitt has a unique perspective in that he is both an engineer and a physician. In his retirement, he is applying his wealth of knowledge to keeping himself healthy.
In this talk, Mark looks at how heart rate variability relates to his willpower. Does he lift more weight when his HRV is high? What happens to his eating habits when his HRV is low? And if the term “heart rate variability” is new to you, Mark gives a lucid explanation.
Also, you will get a glimpse of his amazing customized workstation with pedals to keep him active, a split keyboard on the armrests to keep his knees free and built-in copper strips for measuring HRV. Cue envy.
Historically, the most prevalent self-tracking tool in the home was the scale and the relationship between people and weight is complicated. Akhsar found healthy weight loss to be an emotionally difficult process. His breakthrough came with the Withings smart scale with which he lost 65 pounds in the first year and has kept it off for the last three. In this talk he discusses how the data helped him gain the self control to overcome temptations.
Weight has been a popular topic for Show&Tell talks:
Julie Price on the effect of running and family events.
Nan Shellabarger on seeing her life story in 26 years of weight data.
Kouris Kalligas on the relationship between his weight and sleep.
Jan Szelagiewicz on being motivated by family history.
Lisa Betts-LaCroix on using spreadsheets, forms and wireless scales changes the tracking experience.
Rob Portil on how he and his partner experience weight tracking differently.
Amelia Greenhall on using a 10-day moving average.
When someone comes into your life and takes up a special place in your heart, do they also occupy a similar place in your data? Shelly used GMvault to look through 5 years of Google Chat logs to “hunt for signals that I loved my husband and not somebody else.”
She looked at whom she messages, the time of a day, and the words she uses. She was able to extract meaning from innocuous metrics like “delay in response” to show whether her or her future husband were “playing games” at the beginning of the relationship. She also found that use of the word “love” did not correspond with the object of her affections (case in point: “This cytometer needs love too.”)
If you would like to do a similar analysis of your Google Chat log, contact Shelly to get the scripts she used.