My nerdery has been well established by this point in time. As such, I’m not even going to explain why I have the following app, because it should be fairly obvious; I like numbers, I like data, ’nuff said.
Anyway, the app in question – none other than Heart Fitness. What does Heart Fitness do? It actually turns your iPhone 4 into a heart rate monitor. Seriously. It uses some fancy pants technology (also known as the camera light) to analyze the changing colour of your finger as blood pumps through it. And it’s amazingly accurate.
The basic application is free, however you can also pay 99 cents to have the optional ‘history’ component added on. The history module stores previous measures so that one can check their progress. Clearly, I bought the history module. I mean, it makes charts and stuff. How could I not buy it?
The purpose of the app is to promote healthy living. That is, one’s resting heart rate is measured and then compared against some standard values. In particular, the program suggests that resting heart rates between 61 and 65 are good, 65 to 81 are average, over 81 are poor. One receives a rating of excellent if their resting beats per minute are between 54 and 61. Anything below 54 is considered athlete.
Generally the idea is to measure your resting heart rate after a full nights rest; that is, first thing in the morning. I don’t always remember to do that, so my history has been all over the place. My highest reading was 79 beats per minute, but this was in May at 7:08 pm – which just so happened to be the same day that I had run 32+ kilometers. Regardless, up until recently I always expected my reading to be somewhere in the good range. That is, until I tested it first thing Thursday morning.
On Thursday morning, I woke up to Elliot pawing at the window because of some bird or squirrel or who-knows-what that caught his attention. As I rolled over to turn off my alarm, I decided I’d check my heart rate. When the program finished doing its thing, I looked at the result. I had to blink a couple of times because I really didn’t think what I saw was correct. Plus, I wasn’t wearing my glasses. I corrected that and looked again.
I tested it again, because clearly this had to be a mistake. The second reading was even more shocking.
What the what? I then decided to use the old-time-y method of stopwatch and finger to neck. This time I measured 48 beats per minute. Three measurements put me in the athlete category. Sweet freaking awesome.
Anyway, I’m fascinated by these readings, so I’m going to try to continue to test them first thing when I get up. I have a hard time believing that my resting heart rate is in the athlete zone. So much so, that I continue to test my heart rate. Even now, as I sit here to type out this post, my resting heart rate according to the app is 53 beats per minute. And that is after a run, and a coffee, and it’s post 11pm. Weirdness.
Ultimately, it leaves me wondering – how low does my heart rate have to go before I’m considered a Zombie?
Welcome to another entry in a list of entries detailing my innate nerdiness and desire to track data; all Dan, all the time1. In this case, I present for your perusal an iPhone app (as well as a web based app) known as LoseIt2. And what data do I track with LoseIt? Only those data that are specific to my eating habits; when food was consumed, what food was consumed, and how much food was consumed. It also allows me to track any and all exercise so that my net daily Caloric gain or loss can be monitored.
Now don’t fret folks, I am not using this application to lose weight. Even I know that would be insane. Instead, I am using it to try to maintain my weight. You may recall that since I began living with my hiatal hernia, I’ve had a very difficult time eating enough food in a day. Compound that with any sort of exercise routine and you can imagine the outcome. For me, the result was a drastic weight loss of almost 50 pounds in only a few short months (as detailed here). The vomiting and the pain sort of put a damper on eating big meals, or eating at all. So clearly, consuming (and retaining) enough Calories to keep my weight stable has been a chore.
LoseIt has been a huge help in this challenge. That is, it helps me see very clearly what I’ve consumed in a day, and I can modify my behaviour accordingly. To maintain my weight at 145 lbs, I should intake about 2250 Calories (net) per day3. When I’m off of this mark, a pretty little graph will tell me. Green if I’m under, red if I’m over.
Normally the green would be desired as it indicates “go”, as in “good”, or “go get ‘em tiger”; clearly cheers you want to hear if you were attempting to lose weight. Red would indicate “stop”, as in “stop eating that deep-fried flan, fatty-fat-fat-fat”4.
Since I’ve started using it, I’ve managed to up my Caloric intake per day by snacking far more often; almost consistently to be honest. But the outcome has been worth it. I have managed to maintain my weight around 145 lbs (~65.77 kg) for a little while now. I don’t appear to be losing weight anymore, and I am confident that I won’t have to start buying extra-extra small clothes5.
The program also informs me of the percentage of Calories that come from protein, carbohydrates, and fats, as well as some info on other nutrients (sodium, cholesterol, etc.). I don’t normally care about this, but I do check it from time to time. The only problem here is that some of the foods in the database do not have all of the nutritional information listed to produce an accurate daily representation of my nutritional intake. Additionally, I sometimes wonder whether or not the food I’ve selected adequately describes what I’m eating. For example, does the Tropical Trail Mix actually represent that home-made trail mix I eat? Likely not. But since I’m not losing weight anymore, I’m gathering that it is a good approximation.
There are other reports available, such as a simple summary identifying the foods that you most often consume. Since I am a creature of habit (I sort of have to be so as not to upset the volcano gods that clearly live in my stomach), I am not surprised to learn that I eat the same foods almost daily. Lots of fruit, salad, tuna, english muffins, and other good things. I am also not surprised to know that I consume a large quantity of soy milk lattes. The program tells me that I’ve had 187 of them in the past year (equivalent to 40,141 Calories6). To be honest, I’m surprised it hasn’t been more.
Being the nerd I am, I am thinking about purchasing the Withings Scale, which works with the LoseIt application. Basically, it would allow me to weigh myself on a daily or weekly basis, then automatically transfer my weight (and various other measures) through the magic and mystery that are the intertubes directly to the database that is the LoseIt application. It means all sorts of extra charts and nerdy goodness. However, I’ve not convinced myself yet that I want to shell out the large dollars for a scale.
Bottom line, this application is great. I recommend it to anyone that is trying to watch their weight. Of course if one is trying to lose or gain weight, one should always chat with a nutritionist first. Thankfully, I can always rely on the expertise that is Dr. Beth, as she knows a thing or two about nutrition :)
2 Download the iPhone application here (it’s free last I checked). The website can be found here.
3 This value comes directly from LoseIt. However, according to the Health Canada website, there is a formula to determine my Caloric requirement. A formula, people. And not just any formula, one that includes Physical Activity Coefficient. I’m swooning. Anyway, according to the formula, and based on my age and gender, I should consume
2292 Calories per day if I were sedentary (I am not).
2508 Calories per day if I spent 30-60 minutes per day performing moderate activities, such as walking 5 to 7 km/h (I do this every day just going to and from the school).
2783 Calories per day if I spent at least 60 minutes per day performing moderate activities, or
3234 Calories per day if I spent at least 60 minutes per day performing moderate activities, AND an additional 60 minutes performing vigorous activities.
I would say I fall somewhere between the third and fourth options.
4 Note that Fatty-fat-fat-fat was one of my nicknames when I was younger.
5 I have started buying extra small and small shirts. Talk about a weird experience, given that not so long ago I was buying large. With that in mind, I have a huge basket full of mens large shirts if anyone wants to look through them.
6 Which would be burned off if I were to run 10 kilometres per hour for about 51 hours straight. Riiiiiiight.
Speaking of nerdery, have you tried out Daytum1 yet? It’s another iPhone app that I use on a daily basis (website here). The app allows one to collect data. Any data. Clearly this was an app built for me. I stumbled on this late last year and decided that it would be perfect for tracking the time (in minutes) I spend this year
yoga’ing (non-studio), and
I also decided to use it to track the total distance (in kilometers) I travel for each of the activities above (excluding yoga), and my total sleep time.
Now, you might be wondering “Why would you do this, considering that you already use RunKeeper, and SleepCycle to track such things?” Well, the answer to that oh vigilant reader, is threefold; 1) I have a huge nerd-on for data. I can’t stress that enough. Numbers have, are, and always will be my friend, 2) Neither RunKeeper, nor SleepCycle summarize the data like Daytum does, and 3) Daytum allows me to visualize the information differently. And by differently, I mean awesomely. With a simple button-click, I can produce summaries that have an awesomely awesome aesthetic appeal. And if you know anything about me (other than the fact that I am nerdy and love numbers), you will know that I love aesthetically pleasing things. But really, who doesn’t? I’m pretty sure we are hardwired that way.
Why do I enjoy this app so much? Partially, it is my belief that to understand data, they should be analyzed properly, and presented in a manner that conveys findings even to those who might not understand the methods used to analyze them. In my humble opinion, findings are only useful if they can be effectively communicated. This is where Daytum succeeds as an app, and makes me all warm and fuzzy in my nerd-zone. While the analytical methods used by Daytum are not complex, the data are presented such that non-statisticians are tempted to explore further, to ask questions about the patterns that might appear, and perhaps offer up hypotheses to explain what they see. Or maybe that’s just something I would do.
I also enjoy Daytum because it allows the user to visualize, inspect, explore, and hypothesize about data that are personal in nature, within an app that is easy to use, and visually appealing. Of course, when I write personal in nature, I do not mean personal in the sense of deep, dark, private things2, but personal in the sense of ownership. I record data that are about me, and relevant to me. You could record whatever it is you want to record about you. Daytum easily allows you to record, visualize, and interpret a collection of your personal data, which may allow you to discover things about yourself that you weren’t ever expecting to discover. And I think that is exceptionally cool.
To give you a sense of what the app offers, I provide the following fancy-pants summaries, live versions3 of which are available on my Daytum summary page, here.
By tracking this type of information, I have been able to establish some goals. While my 2011 distance goals are outlined in a previous post, today I focus on duration. Specifically, my goal for 2011 is to spend at least
18, 000 minutes walking,
2, 500 minutes running,
6, 000 minutes biking, and
20, 000 minutes practicing yoga (studio and non-studio, combined).
To set these goals, I simply multiplied my average kilometrage4 (thank you RunKeeper and Excel spreadsheet) by my distance goals. The result; I plan to spend 46, 500 minutes in 2011 exercising. Put another way, this is slightly more than 32 days, or 1 solid month plus a day, of pure, exercise gold. Hmm, perhaps I should consider feasibility, as I have logged only ~7.64% of my total time goal at this point. Extrapolating to the year would suggest that I might only hit ~68%. Perhaps I’m biting off too much? I’ll know more at the end of the year, when I can review my Daytum summaries and learn what I have accomplished.
At this point, I have not set any sleep goals. I simply want to track my sleep to see what the patterns might be. Perhaps there is a particular day of the week where sleep tends to elude me. Who knows? At the moment, my average daily sleep is about 298 minutes. This is just slightly less than 5 hours of sleep a night. Strange, I was convinced I was averaging 5.5 hours a night. Now I know, and knowing is half the battle (thank you G.I. Joe)5.
Finally, I provide you with some fancy-pants graphs. Aren’t they pretty?
Not sure what to track? Consider these nifty examples by other Daytum users:
If science has taught us but one thing, it is that repetition is key to the process of learning about the world around us. With that thought now sitting at the fore of your mind, let me begin this post with the following statement: I am a huge nerd. I am a huge nerd. I am a huge nerd. As evidence (you know, beyond the evidence offered here, here, and near the bottom of the post here), I offer the following Consumed By Wanderlust entry:
Some of you may be aware that I do not sleep very much. In fact, I sleep far less than the recommended 8 hours per night. I’m generally up until at least 1:00 am, although usually it’s more like 1:30 am. And since returning from my trip, I’ve pulled several 3:00 am and 3:30 am nights, because obviously I can sleep when I’m dead. Further, I wake almost every day by 6:00 am. Even weekends (although I will grant myself an extra hour or two from time to time on a Saturday or Sunday). Point is, I rarely ever sleep more than 6 hours in one sitting, unless I’m sick, dying, or dead. This is nothing new. That is, I’ve always been a needs-little-sleep-to-function type of person. So much so, that I’m often annoyed with myself if I sleep longer than 6 hours in a single go. I always feel like I’ve wasted my day. Clearly, I’m insane.
Now recall if you will, that on my Not-So-Bucket-List list, I had added the challenge of going to bed before midnight for 2 weeks straight AND getting at least 6 hours of sleep (item #73). I set this challenge assuming that after 2 weeks, I might try to continue getting 6 hours of sleep – you know, try to be more normal. Long obvious story short, it so didn’t take. I was back to my regular habits once the challenge was satisfied.
But, the challenge awoke something inside of me1; my Sleep Nerd. Long he had laid dormant, until the possibility of tracking sleepy-time data was placed at his feet. But how to track my sleep data? I mean, I’d be sleeping. Clearly I couldn’t do it.
And then the Sleep Gods shone down on me2. Specifically, they brought a little iPhone application to my attention. The app is called Sleep Cycle. You can learn all about it by reading their website (as I’m too tired to actually write a lot of detail at the moment). Further, for those that wish to try it out, you can purchase it for a bank-breaking-sum of 99 cents in the AppStore here. And honestly, I highly recommend that you do. It is AWESOME.
But what, pray tell, does it actually do?
This is where the application is full of so much nerdy awesomeness, that I can barely contain myself. It tracks my Zzzz-time, to the point of identifying when I am in various stages of REM sleep. It does so by monitoring my movements; learning the patterns, and using them to estimate which stage of sleep I am experiencing. If I’m in a lighter sleep cycle, and the current time happens to be close to whatever time I have set to rise, the program slowly begins to wake me. If I’m not in the best cycle for waking, the program will still act as an alarm; waking me at the best possible time (in its educated opinion). Regardless of when it wakes me, selecting a time when I’m in a lighter sleep cycle is theoretically better for me. That is, I should wake up less groggy, and full of a ready-to-take-on-the-world attitude.
It also, to the satisfaction of my nerd-centre, records how long I have slept; providing an average based on all the data recorded. And since I fall asleep almost immediately, I’m not worried that the getting-to-sleep time will bias my results.
How does one app do all this?
You might suggest that “the app could be using previous sleep movement data as some sort of Empirical Bayesian Prior to inform the sleep model, thus providing an updated Posterior Distribution to estimate the best time to wake up”. Sounds reasonable to me. Of course, I have no idea if this is the case. I just know that it works.
And it works well. I wake up far more refreshed now than prior to using the app. And that is true even when I get 4 hours or less of sleep. Additionally, I don’t require a blaring alarm to wake me. The music that Sleep Cycle plays is very soothing, and the volume is gradually increased, thus waking me in a much more civilized manner. Finally, I don’t have to hit the snooze anymore (where anymore should be read “as often”). I could hit snooze; the option is present in the app, but I don’t find that I need to. Clearly this app is magical.
As further evidence of the nerdiness of this program, I offer some screen shots of the application in action (from this past week).
Note my average sleep time of around 5h 40m per night. This fits with my usual 1:00/1:30am bed time, and 6:00am wake up. Also note the total amount of sleep I’ve posted in the past week (although I’m missing a day because I forgot to turn the application on – GAH): if my math is correct, I’ve posted 26h 26m in 6 days3, or approximately 4h 24m 20s on average per night. Plots are provided on a daily basis to give a sense of when, during the night, I am in various stages of sleep. Now, if only I could have these plots overlap to investigate movement trends; that would be uber cool.
I’ve mentioned that I’m a huge nerd, right? :)
1 Ha, awoke. Sleep humour. AWESOME. Zzzzzzzzzzzzzzz.
2 The Roman Sleep God was known as Serta, while the Greek Sleep God was known as Sealy. Or perhaps I made that up, and the true names were Somnus and Hypnos, respectively.
3 Nerd Alert: I find it awesome that 26 appears twice in my sleep total. And that I would have a full house if these were cards in my hand.
Under the category of full disclosure, be it known that the title of this post was stolen borrowed and then modified from a tweet that I sent into the twitterverse over the weekend. Because my tweet was so awesome, it had to be used again. Or because I’m tired and can’t think of anything near as clever. Not to say that the tweet was altogether clever. It wasn’t. But it’s the best I have right now.
So I’m writing this post with just my right eye open, because my left eye has developed another retinal blister. “Ew”, you say. I agree. Ew indeed. This is all part and parcel of a retinal disease known as (Age related) Macular Degeneration, a degenerative retinal disease that I was diagnosed with several years ago (as most of you are likely aware1). I affectionately refer to it as MacD, but the bio-nerds researching it usually call it AMD (for Age related Macular Degeneration). Of course, what I have is not age related, as the age in age related generally implies someone in their 70s or 80s. In my case, the doctors think it is a genetic condition, but we aren’t aware of anyone else in my family that has it or has had it. Perhaps relatives that would have developed it died too early for us to know?
Anyway, while the long-term prognosis isn’t good (i.e., the doctors expect that I will be blind by my early 40s), today I read an article which offered some hope to those that suffer with MacD2. It can be found here. The gist of the article: healthy eyes break down a type of RNA molecule that is toxic to the retinal cells, whereas unhealthy eyes (i.e., eyes like mine) do not. This finding offers hope because it provides researchers with something to aim for. That is, if they can stop the toxic RNA from doing what it does to the retinal cells, they can prolong vision in those with the disease. The article does mention 2 promising therapies, but clinical trials will not begin until the end of the year.
If you are wondering what MacD is like, here are some sample pictures that I pilfered from a site that I visit frequently (as it has an Amsler Grid that I use to test my vision):
Now, because of the disease and my rather nerdy ways, I like to track the degeneration as best I can. To do this, I use an iPhone application called EyeXam (yes, there’s even an App for that!). It’s pretty cool, and will test other vision issues such as astigmatism or colour blindness. It’s free, so if you have an iPhone, download it and check it out. Eye health is important. Anyway, I find both the tests and the disease all very cool, in a completely nerdy and science-y kind of way. I especially like the app because it includes an interactive Amsler Grid. The grid itself looks like a normal sheet of graph paper, which is how healthy eyes would see it. MacD eyes see distorted or bent lines, or blurred areas. They may also not be able to see the corners of the grid when it is held at the correct testing distance. I see both blurred spots and distortions, and I have issue seeing the upper left corner.
Getting back to the application; the interactive part of the interactive Amsler Grid is such that the app allows me to draw where I see distortions or blurred vision. So, as of right now, I see major distortions (worse than those illustrated by the third picture of the girl above) where I’ve drawn the red blob:
The blister(s) causing the distortion can last for minutes, hours, days, and in some cases weeks or months. At times they can be hilarious, especially when they distort what I’m viewing into a tiny point. Imagine looking at someones face, but with a fun house mirror filter over your mirror. A fun house mirror that just so happens to squish all of your face into a tiny point. Hilarity for sure. Of course, the blisters can also be very annoying, especially if I’m trying to read or write. But I’ve learned to work around them, or in certain cases, I just go to bed or pour myself another glass of wine. LOL.
I also purposely bought HUGE sunglasses this summer, as a result of the MacD. Well, huge for me. The idea: to protect my eyes as much as I can, as sunlight is apparently not a friend to my retinas. To be honest, I wasn’t comfortable buying glasses this large because I felt they were too big for me, and made me look like an alien or a bug. I have always been partial to smaller glasses, so this was out of my comfort zone in a huge way. But I’m not one who runs away from discomfort, so I bought them, and after wearing them for a while now, I’ve grown to love them and am very happy with my purchase. And I think I look like hot shit in them. LOL.
Anyway, I will no doubt post more about this condition, or any adventures that occur as a result of it. I mean, if I do anything like footnote 3 or 4 listed below (again), clearly I have to let you know :)
1 I’ve also been diagnosed with several other retinal problems: Central serous chorioretinopathy, dominant drusen, and something called Sick Retinal Pigment Epithelium. I also have a lot of floaters, which as I understand, are caused by my eyes bleeding. Awesome. It’s like my eyes are having a giant unprotected orgy, and my retinas are clearly picking up every disease possible. Despite the slew of conditions, they are all, according to my docs, related to the overarching diagnosis of MacD. Hence, I just say MacD when queried about my peepers. It’s easier that way.
2 Note, I don’t feel that I suffer from this, per se. I mean, my vision is still relatively good compared to others that have the disease. I can still function without any sort of assistance, and my life has been relatively unaffected. That’s not to say I haven’t modified some behaviours: I don’t bike at night (as my night vision is terrible3); I often wear sunglasses whenever I’m in a car at night, because the oncoming traffic blinds me; and the magnifying function on my MacBook Pro is my best friend. But, I can still manage to work, and post to my blog. Clearly it’s not that bad :)
3 For example, I may or may not have, during an evening ride, biked into a car. That was parked. Multiple times4.
4 My biking into things is not limited to the eve. A few summers back, I was biking with my brother through Preservation Park in Guelph. I managed to bike into a tree. Twice. This particular tree just happened to have been covered somehow with poison ivy, or poison oak. And I may have ended up looking like this.
Clearly the tree was out to get me.
Follow up: I wrote this post last night but am only now getting around to posting it. In that time, the blister has decreased in size, so I do not have to work with just one eye anymore. I find this a bit sad on some level, as I had been hoping to attend my Monday meetings as a pirate. Argggggh!
I started using RunKeeper in December of 2008. Since that time I have used it to track my runs, walks, hikes, bikes, and such. Being a big spreadsheet nerd, I also started tracking my yoga1 in January of 2010. Of course, I’m not always religious with tracking, in the sense that I don’t use RunKeeper to monitor all activities. And in some cases, such as when I’m on vacation, I have to ballpark my distances as best I can. I try to be reasonable about these types of activities so as not to make myself look better than I am. That is to say, I purposely underestimate a lot of my exercise when I can’t actually track it.
Having that in mind, I was blown away when I actually took a peak at my numbers today. Being a numbers person it’s amazing I haven’t really paid too much attention to this previously. Not only was I amazed at the Calories burned over time, but also with the change in activity level in just a few short years.
According to RunKeeper, as of February 1, 2011, I have
burned at least 102, 439 Calories,
performed 315 activities, and
covered at least 2, 916 km.
What exactly would 102, 439 Calories look like? I wondered that too. So I googled it. The verdict: 102, 439 Calories is equivalent to consuming approximately
640 tall vanilla soy lattes from Starbucks2 (mmm, soy latte),
190 Big Macs3,
11.382 kg of fat (equivalent to about 25 pounds), or
27.317 kg of white sugar.
Of the 315 activities, 19 have occurred so far in 2011, 269 were recorded in 2010, 22 were recorded in 2009, and 5 were recorded in 2008. Of course, 2008 wasn’t a full year, and I don’t recall how much I actually recorded any exercise I might have done during 2009. However, I have no memory of being overly active then given that I was in the depths of my Ph.D., so these numbers might be representative.
Ultimately it has paid off. At the end of 2008, I was weighed by my doctor during a routine physical. Apparently, during the course of my Ph.D. I had ballooned to 185 lbs. Yikes!
It was shortly after this time that I developed a sliding hiatal hernia (the same type of hernia that recently sent Charlie Sheen to hospital), which affected my appetite (in the sense that eating hurt, and I was throwing up a lot). Clearly this had an effect on my weight. That is to say, it dropped pretty quickly, as evidenced by the following picture. Give that man a sandwich. Ew.
To compensate for this unhealthy weight loss, I decided to start exercising more. The rationale was that any further weight loss could be attributed to ‘healthy living’. It made sense at the time. The hernia still remains; to be fixed via surgery sometime in June/July. Anyway, throughout the past year and a bit, I’ve had to learn how to eat enough, so as to maintain the level of exercise I want to perform, but also to prevent myself from further losing weight, and in such a manner as to prevent an episode of intense pain brought on by acid reflux; a major side effect of the hernia. It hasn’t been easy. This is not the norm for me; I typically can gain weight just by looking at a delicious slice of cake-y goodness. Or thinking about one. True story. In October of 2010, I was down to 137 lbs (attributed to the hernia, a 30 day challenge at the yoga studio, a lot of biking, about 5 km of daily walking, and training for a half marathon). Crazy stuff. Since then, I’ve actually managed to gain some weight. I’m up to 145′ish, which is a weight that I’m happy to be. Now I just have to maintain it :)
Anyway, getting back to the data, in 2010 I:
walked approximately 1, 491 km,
biked approximately 1, 557 km, and
ran approximately 347 km.
“But how can that be, since 1, 491 + 1, 557 + 347 > 2, 916?” you ask. “Good eye” I reply. But to really answer your question, we need to note that for several months in 2010, I didn’t actually use RunKeeper to record my daily walk to and from the school. And I’m too lazy to back input the information. The missing walks would have totalled approximately 540 km of the 1, 491 listed above.
My most active months were June through October, where I covered on average 13.52, 17.78, 15.23, 11.60, and 13.15 km per day. During these months I also spent anywhere from 40 to 60 minutes daily on average practicing yoga. Crazy stuff.
Speaking of yoga, in 2010 I managed to log 14, 840 total minutes practicing. That’s 247.33 hours, or 10.31 solid days of bendy goodness. Clearly I love bendy goodness. Even if sometimes it means I smash my face into the ground.
Of course, being a numbers nerd, I can’t help myself but to set up new goals for this year. And yes, I know it’s already February so I’m a little late to the setting of goals for 2011, but I’m not one to follow rules unless they are mathematical in nature.
So here is my plan/goal for 2011:
Walk 1, 800 km,
Bike 2, 000 km,
Run 500 km, and
Spend 20, 000 minutes practicing yoga.
So far this year, I have:
Walked 176 km,
Biked 0 km,
Ran 15 km, and
Spent 955 minutes practicing yoga.
Clearly I need to step it up a notch if I want to reach my goals. I’ll have to try to remember this next February 1, to see how many Calories I have managed to burn between now and then. Wish me luck.
1 I practice yoga both at home (typically 30-60 minutes now per day in the morning), and at Moksha Yoga Guelph; check it out if you want to do something AWESOME for yourself. You won’t regret it.
2 Based on a 160 Calorie tall vanilla soy latte made in Canada (the US version has 180 Calories for some reason). Full nutritional information here.
3 Based on a 540 Calorie Big Mac made in Canada. Full nutritional information here.