Yes, there are ways to distinguish between them as a user, for example you can check to see if your browser plugins are available. I also went through some of the most popular iOS apps and created a list of which app uses the correct SFSafariViewController vs the potentially malicious WKWebView.
Author of the krausefx.com post here: I don't believe there is a universal way of detecting this, however in the case of Instagram, the user agent string actually includes the "Instagram" string. For practical cases it's probably enough to collect user agents of the most used apps and check for those.
However, I believe all of this won't matter for too long after the press the last few days.
Author here - Yes, my resting heart rate is quite high for the level of fitness investment. I believe this is due to a few factors (not a doctor), one being my height (6'4), the other one being the lack of cardio exercises, I only do weight lifting.
Author here - I've used Foursquare's Swarm over the last 11 years, as well as manual End-Of-Day location input through the Telegram bot the most recent 3 years
Author here - Tracking calories has impact on way more things than just the weight. e.g. choosing a low-fat diet vs a low-carb diet makes you feel very differently day to day, and every person might prefer something else. Also, there is a huge difference in energy levels and quality of sleep while I'm cutting vs while I'm gaining weight.
Author here - I actually talked about this at the very bottom of the howisFelix.today page, in the "Conclusion" section:
> Overall, having spent a significant amount of time building this project, scaling it up to the size it’s at now, as well as analysing the data, the main conclusion is that it is not worth building your own solution, and investing this much time. When I first started building this project 3 years ago, I expected to learn way more surprising and interesting facts. There were some, and it’s super interesting to look through those graphs, however retrospectively, it did not justify the hundreds of hours I invested in this project.
Author here - Yes, sorry for not putting that somewhere more visible. In my mind, the actual database running it was actually not relevant at all, it would have worked just as well with any database, including SQLite, as the basic structure, and size (~380,000 rows) could be handled by them.
Author here: Yes, exactly which is why I chose to use Telegram to enter my data. If you go all the way to the bottom of howisFelix.today and check out the "Data Inputs" section I wrote a little about it. Being able to easily answer on whatever device you're on right now makes everything easier
Author here = I actually researched & published many privacy projects (https://krausefx.com/privacy), and deeply care about being in control over your data, and being explicit about what you choose to share.
- The data is stored in my own, private database, not connected to any service
- Much of the data visualised on that page, is data many larger companies already have about you. I figured, why wouldn't I want to benefit also?
- The data shown above seems very personal but doesn’t actually expose any real sensitive information. For example, disclosing your current location, your home address, or stores and places you frequently visits is sensitive and potentially dangerous. Even looking at the map of my movement data on my page, you won’t get any more information that what most people have in their public Twitter bio.
I made sure all graphs are non-interactive, and had all personal information stripped out.
Author here. Yes, I agree. For this project, only 5% of the 383,000 data points were collected manually, the rest came from various data sources like RescueTime, Apple Health, Withings smart watch and such
Author here. I actually researched & published many privacy projects (https://krausefx.com/privacy), and deeply care about being in control over your data, and being explicit about what you choose to share.
- The data is stored in my own, private database, not connected to any service
- Much of the data visualised on that page, is data many larger companies already have about you. I figured, why wouldn't I want to benefit also?
- The data shown above seems very personal but doesn’t actually expose any real sensitive information. For example, disclosing your current location, your home address, or stores and places you frequently visits is sensitive and potentially dangerous. Even looking at the map of my movement data on my page, you won’t get any more information that what most people have in their public Twitter bio.
I made sure all graphs are non-interactive, and had all personal information stripped out.