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Cake day: June 16th, 2023

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  • Is the study linked from the article? I fail to find it other than the link to Greenly Website. Feels like the author, Isabel O’Brien, pulled up numbers somewhere else and made the title out of those numbers. The most likely article I found on Greenly is The Hidden Environmental Cost of Social Media where it discusses various sustainability efforts for social media companies, and its method of calculation.

    The measurements are only done in the US, UK, and France. In particular, the Guardian’s article cites this data that I do not see from Greenly’s article:

    TikTok’s users also have the second-highest emissions per minute of use on social media according to Greenly’s analysis, just after YouTube. One minute on TikTok will burn 2.921 grams of CO2e, on average, while one minute on YouTube will burn 2.923 grams. One minute on Instagram burns 2.912 grams.

    Greenly’s article under the heading Comparison of Energy Consumption Across Platforms does cite data from Greenspector’s article (updated the link to 2023 but note Greenly’s article still refers to the link from 2021), using method that does not reflect real-world usage:

    • Step 1: launch the application
    • Step 2: read news feed without scrolling (30 sec)
    • Step 3: News feed scrolls with pauses.
    • Step 4: application background (30 sec)

    And useless conclusion was drawn:

    Users of video-centric platforms like TikTok and Snapchat are responsible for higher energy consumption

    The Device Impact: Laptop vs. Mobile subheading has slightly more interesting takeaway:

    The device used to access social media can significantly influence the overall emissions, with laptops generally having a much higher carbon footprint compared to mobile devices. Platforms like YouTube and Facebook, which have a larger share of laptop users, contribute more to emissions than mobile-heavy platforms like TikTok, even if the time spent on the platforms is similar. This difference highlights the importance of considering both the platform and the device when assessing the environmental impact of social media usage.

    The Aggregate Emissions for Each Country subheading:

    However, the data consistently reinforces that the carbon intensity of a country’s energy grid plays a significant role in shaping the overall emissions profile.

    Then the article proceeds to talk about per-user usage in each country again drawing useless conclusions about video-intensive platforms producing more carbon footprint.

    Lastly under the Data Centers: The Backbone of Social Media and Their Carbon Cost heading, it turned out that data center emissions are orders of magnitude larger than user emissions, and yet the Guardian’s article appears to only focus on per-user emission. In Greenly’s data table, somehow TikTok is always ordered before Instagram despite TikTok having consistently lower annual data center emission than Instagram while every other platforms are in proper sort order.

    To see the full emissions per user from both devices and data center, I added the annual user and data center emissions divided by the number of users for each region, then total up US, UK, and France then divided by 3:

    Platform Annual emissions per user (kg CO₂e / user)
    YouTube 77.65
    Facebook 65.23
    TikTok 58.84
    Threads 45.49
    Instagram 40.61
    Twitter/X 37.13
    Snapchat 28.11

    The total annual emissions from both user devices and data center combined:

    Platform Total Annual Emissions (kg CO₂e)
    YouTube 12,041.78
    Facebook 9,744.15
    Instagram 6,933.16
    TikTok 6,557.17
    Twitter/X 4,735.26
    Snapchat 3,457.58
    Threads 951.01

    I have lost the plot.


  • I agree with the points made in the video about the demographics of those who attend public hearings. The fact that development companies pay millions of dollars in interest while going through the lengthy public hearing process is concerning, as those costs could ultimately be passed on to home buyers, making housing even less affordable.

    The Residents Assembly model sounds like a promising solution to ensure that a diverse group of volunteers can contribute to the growth and development plans of the area. While it may not completely mitigate the problem of soliciting inputs from underrepresented demographics, it seems like a step in the right direction.

    (It was funny to see a clip of Chad and JT (~15:05 no audio) slipped into this video)