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  3. I'll be teaching a course in the fall on data communication.

I'll be teaching a course in the fall on data communication.

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  • chu@climatejustice.socialC chu@climatejustice.social

    I'll be teaching a course in the fall on data communication.

    One of the assignments I hope to put together is a lesson on how data is manipulated. I want to show how easy it is for climate change deniers, anti vaxxers, etc to crop data, stretch or flip an axis and suggest the opposite of what the data is actually showing. Still thinking through the assignment and I'm thinking of having them make an honest representation and one less so.

    I think there's value to such a lesson given how much downright lying we have from not just randos but even political circles these days.

    Was just going to use publicly available data sources but then I am thinking that there must be researchers here who have awesome data they wouldn't mind seeing put into visual form. If you do have data you'd be willing to let me use, please drop me a comment or PM and let me know how to access it. Thanks!

    (P.S. would appreciate a share for wider reach)

    #academicChatter

    roofhare@mastodon.socialR This user is from outside of this forum
    roofhare@mastodon.socialR This user is from outside of this forum
    roofhare@mastodon.social
    wrote last edited by
    #16

    @chu this is a well known one that I’ve used for the same purposes. https://flowingdata.com/2011/12/12/fox-news-still-makes-awesome-charts/

    chu@climatejustice.socialC 1 Reply Last reply
    0
    • chu@climatejustice.socialC chu@climatejustice.social

      I'll be teaching a course in the fall on data communication.

      One of the assignments I hope to put together is a lesson on how data is manipulated. I want to show how easy it is for climate change deniers, anti vaxxers, etc to crop data, stretch or flip an axis and suggest the opposite of what the data is actually showing. Still thinking through the assignment and I'm thinking of having them make an honest representation and one less so.

      I think there's value to such a lesson given how much downright lying we have from not just randos but even political circles these days.

      Was just going to use publicly available data sources but then I am thinking that there must be researchers here who have awesome data they wouldn't mind seeing put into visual form. If you do have data you'd be willing to let me use, please drop me a comment or PM and let me know how to access it. Thanks!

      (P.S. would appreciate a share for wider reach)

      #academicChatter

      bunrab@mstdn.socialB This user is from outside of this forum
      bunrab@mstdn.socialB This user is from outside of this forum
      bunrab@mstdn.social
      wrote last edited by
      #17

      @chu
      Years ago when I was teaching college freshlings to use Excel, we spent a whole week on "how to lie with charts and graphs." Using 3-d graphs to distort data, usinh amounts when percentages would be more accurate, using graphs that most people are unfamiliar with like radar graphs...

      1 Reply Last reply
      0
      • chu@climatejustice.socialC chu@climatejustice.social

        @f800gecko

        Ooh. If you ever come across that again, please share.

        I'd love to use that as an example

        f800gecko@mastodon.onlineF This user is from outside of this forum
        f800gecko@mastodon.onlineF This user is from outside of this forum
        f800gecko@mastodon.online
        wrote last edited by
        #18

        @chu

        Any Mercator map will do & the story pretty much tells itself.

        This might actually be the one they used.

        I got used to this format for VTA flying some years ago (the small area around airport terminals). Wiki notes they were also used in old times by sailors, and were in decline until the format happened to work nicely on web browsers, leading to a resurgence in popularity and user recognition - the stuff scammers love to exploit.

        Link Preview Image
        1 Reply Last reply
        0
        • chu@climatejustice.socialC chu@climatejustice.social

          I'll be teaching a course in the fall on data communication.

          One of the assignments I hope to put together is a lesson on how data is manipulated. I want to show how easy it is for climate change deniers, anti vaxxers, etc to crop data, stretch or flip an axis and suggest the opposite of what the data is actually showing. Still thinking through the assignment and I'm thinking of having them make an honest representation and one less so.

          I think there's value to such a lesson given how much downright lying we have from not just randos but even political circles these days.

          Was just going to use publicly available data sources but then I am thinking that there must be researchers here who have awesome data they wouldn't mind seeing put into visual form. If you do have data you'd be willing to let me use, please drop me a comment or PM and let me know how to access it. Thanks!

          (P.S. would appreciate a share for wider reach)

          #academicChatter

          mayintoronto@beige.partyM This user is from outside of this forum
          mayintoronto@beige.partyM This user is from outside of this forum
          mayintoronto@beige.party
          wrote last edited by
          #19

          @chu oh that's so cool!

          1 Reply Last reply
          0
          • chu@climatejustice.socialC chu@climatejustice.social

            I'll be teaching a course in the fall on data communication.

            One of the assignments I hope to put together is a lesson on how data is manipulated. I want to show how easy it is for climate change deniers, anti vaxxers, etc to crop data, stretch or flip an axis and suggest the opposite of what the data is actually showing. Still thinking through the assignment and I'm thinking of having them make an honest representation and one less so.

            I think there's value to such a lesson given how much downright lying we have from not just randos but even political circles these days.

            Was just going to use publicly available data sources but then I am thinking that there must be researchers here who have awesome data they wouldn't mind seeing put into visual form. If you do have data you'd be willing to let me use, please drop me a comment or PM and let me know how to access it. Thanks!

            (P.S. would appreciate a share for wider reach)

            #academicChatter

            edwiebe@scribili.masto.hostE This user is from outside of this forum
            edwiebe@scribili.masto.hostE This user is from outside of this forum
            edwiebe@scribili.masto.host
            wrote last edited by
            #20

            @chu
            https://informationisbeautiful.net/visualizations/climate-change-deniers-vs-the-consensus/

            Link Preview Image
            The Escalator

            Examines the science and arguments of global warming skepticism. Common objections like 'global warming is caused by the sun', 'temperature has changed naturally in the past' or 'other planets are warming too' are examined to see what the science really says.

            favicon

            Skeptical Science (skepticalscience.com)

            1 Reply Last reply
            0
            • chu@climatejustice.socialC chu@climatejustice.social

              I'll be teaching a course in the fall on data communication.

              One of the assignments I hope to put together is a lesson on how data is manipulated. I want to show how easy it is for climate change deniers, anti vaxxers, etc to crop data, stretch or flip an axis and suggest the opposite of what the data is actually showing. Still thinking through the assignment and I'm thinking of having them make an honest representation and one less so.

              I think there's value to such a lesson given how much downright lying we have from not just randos but even political circles these days.

              Was just going to use publicly available data sources but then I am thinking that there must be researchers here who have awesome data they wouldn't mind seeing put into visual form. If you do have data you'd be willing to let me use, please drop me a comment or PM and let me know how to access it. Thanks!

              (P.S. would appreciate a share for wider reach)

              #academicChatter

              a_cubed@mastodon.socialA This user is from outside of this forum
              a_cubed@mastodon.socialA This user is from outside of this forum
              a_cubed@mastodon.social
              wrote last edited by
              #21

              @chu @troublewithwords
              I think you probably are, but are you using Tufte's The Visual Display of Quantitative Information?
              https://www.edwardtufte.com/book/the-visual-display-of-quantitative-information/
              This (and his other works) are my bible for teaching scientific communication via diagrams, charts and graphs.
              As well as good practice he highlights poor and deliberately misleading approaches, albeit quite old ones now.

              chu@climatejustice.socialC 1 Reply Last reply
              0
              • chu@climatejustice.socialC chu@climatejustice.social

                I'll be teaching a course in the fall on data communication.

                One of the assignments I hope to put together is a lesson on how data is manipulated. I want to show how easy it is for climate change deniers, anti vaxxers, etc to crop data, stretch or flip an axis and suggest the opposite of what the data is actually showing. Still thinking through the assignment and I'm thinking of having them make an honest representation and one less so.

                I think there's value to such a lesson given how much downright lying we have from not just randos but even political circles these days.

                Was just going to use publicly available data sources but then I am thinking that there must be researchers here who have awesome data they wouldn't mind seeing put into visual form. If you do have data you'd be willing to let me use, please drop me a comment or PM and let me know how to access it. Thanks!

                (P.S. would appreciate a share for wider reach)

                #academicChatter

                edwiebe@scribili.masto.hostE This user is from outside of this forum
                edwiebe@scribili.masto.hostE This user is from outside of this forum
                edwiebe@scribili.masto.host
                wrote last edited by
                #22

                @chu There's a lot of rebuttal on this site. Foster has been doing this noble work for a long time.

                e.g. https://tamino.wordpress.com/2025/04/09/un-natural-variation-the-elephant-in-the-room/

                Link Preview Image
                What’s Up With That?

                The "CO2 Coalition" has prepared a report claiming that in Wyoming, "... high daily temperatures peaked during the Dust Bowl years of the 1930s and have been in a 90-year decline." To back up this claim they show this graph: Note that they list the source for their data as "NOAA National Centers for Environmental…

                favicon

                Open Mind (tamino.wordpress.com)

                Link Preview Image
                Not Even Wrong?

                Cliff Mass shows a graph, taken from the Seattle Times, of the hottest temperature each July from 1945 through 2022 at Seattle/Tacoma airport (SEATAC). He then says "... and there is very little upward trend! How could this be?" Then he goes further: Just to check on the Seattle Times... I did the same thing…

                favicon

                Open Mind (tamino.wordpress.com)

                1 Reply Last reply
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                • chu@climatejustice.socialC chu@climatejustice.social

                  I'll be teaching a course in the fall on data communication.

                  One of the assignments I hope to put together is a lesson on how data is manipulated. I want to show how easy it is for climate change deniers, anti vaxxers, etc to crop data, stretch or flip an axis and suggest the opposite of what the data is actually showing. Still thinking through the assignment and I'm thinking of having them make an honest representation and one less so.

                  I think there's value to such a lesson given how much downright lying we have from not just randos but even political circles these days.

                  Was just going to use publicly available data sources but then I am thinking that there must be researchers here who have awesome data they wouldn't mind seeing put into visual form. If you do have data you'd be willing to let me use, please drop me a comment or PM and let me know how to access it. Thanks!

                  (P.S. would appreciate a share for wider reach)

                  #academicChatter

                  chuckthewriter@mstdn.socialC This user is from outside of this forum
                  chuckthewriter@mstdn.socialC This user is from outside of this forum
                  chuckthewriter@mstdn.social
                  wrote last edited by
                  #23

                  @chu this would definitely fit in the television ratings world. Where you can have a show that nobody watches, but Network pundits will claim that it's the number one show for teens age 12 to 16 who live in a certain part of the country and only have three streaming cable channels.

                  1 Reply Last reply
                  0
                  • a_cubed@mastodon.socialA a_cubed@mastodon.social

                    @chu @troublewithwords
                    I think you probably are, but are you using Tufte's The Visual Display of Quantitative Information?
                    https://www.edwardtufte.com/book/the-visual-display-of-quantitative-information/
                    This (and his other works) are my bible for teaching scientific communication via diagrams, charts and graphs.
                    As well as good practice he highlights poor and deliberately misleading approaches, albeit quite old ones now.

                    chu@climatejustice.socialC This user is from outside of this forum
                    chu@climatejustice.socialC This user is from outside of this forum
                    chu@climatejustice.social
                    wrote last edited by
                    #24

                    @a_cubed @troublewithwords

                    Thanks. Will look at this. My first time teaching this particular course so all resource suggestions are welcome

                    a_cubed@mastodon.socialA F 2 Replies Last reply
                    0
                    • roofhare@mastodon.socialR roofhare@mastodon.social

                      @chu this is a well known one that I’ve used for the same purposes. https://flowingdata.com/2011/12/12/fox-news-still-makes-awesome-charts/

                      chu@climatejustice.socialC This user is from outside of this forum
                      chu@climatejustice.socialC This user is from outside of this forum
                      chu@climatejustice.social
                      wrote last edited by
                      #25

                      @Roofhare

                      Fox graphs are probably going to be my go to for this course

                      1 Reply Last reply
                      0
                      • chu@climatejustice.socialC chu@climatejustice.social

                        I'll be teaching a course in the fall on data communication.

                        One of the assignments I hope to put together is a lesson on how data is manipulated. I want to show how easy it is for climate change deniers, anti vaxxers, etc to crop data, stretch or flip an axis and suggest the opposite of what the data is actually showing. Still thinking through the assignment and I'm thinking of having them make an honest representation and one less so.

                        I think there's value to such a lesson given how much downright lying we have from not just randos but even political circles these days.

                        Was just going to use publicly available data sources but then I am thinking that there must be researchers here who have awesome data they wouldn't mind seeing put into visual form. If you do have data you'd be willing to let me use, please drop me a comment or PM and let me know how to access it. Thanks!

                        (P.S. would appreciate a share for wider reach)

                        #academicChatter

                        justinderrick@mstdn.caJ This user is from outside of this forum
                        justinderrick@mstdn.caJ This user is from outside of this forum
                        justinderrick@mstdn.ca
                        wrote last edited by
                        #26

                        @chu When it comes to charts, the one thing I hate is that most finance-related charts/diagrams are 'zoomed in' and exaggerate volatility... When you zoom out, and set the vertical axis to zero, you often see what appears to be a dramatic shift in price is actually very small.

                        I'd illustrate this by choosing literally any stock that's having a bad month (or 3) after having a year (or more) of good performance. The most dramatic example of this I can think of is Bitcoin -- the 6-month chart looks awful. The two year chart tells a different story. The 10 year chart shows an insane increase, because the value 10 years ago was far closer to zero than it is now. (This is not an endorsement of crypto -- merely an observation.)

                        chu@climatejustice.socialC 1 Reply Last reply
                        0
                        • justinderrick@mstdn.caJ justinderrick@mstdn.ca

                          @chu When it comes to charts, the one thing I hate is that most finance-related charts/diagrams are 'zoomed in' and exaggerate volatility... When you zoom out, and set the vertical axis to zero, you often see what appears to be a dramatic shift in price is actually very small.

                          I'd illustrate this by choosing literally any stock that's having a bad month (or 3) after having a year (or more) of good performance. The most dramatic example of this I can think of is Bitcoin -- the 6-month chart looks awful. The two year chart tells a different story. The 10 year chart shows an insane increase, because the value 10 years ago was far closer to zero than it is now. (This is not an endorsement of crypto -- merely an observation.)

                          chu@climatejustice.socialC This user is from outside of this forum
                          chu@climatejustice.socialC This user is from outside of this forum
                          chu@climatejustice.social
                          wrote last edited by
                          #27

                          @JustinDerrick

                          Fair. Don't worry. It'll go back to zero.

                          justinderrick@mstdn.caJ 1 Reply Last reply
                          0
                          • chu@climatejustice.socialC chu@climatejustice.social

                            @a_cubed @troublewithwords

                            Thanks. Will look at this. My first time teaching this particular course so all resource suggestions are welcome

                            a_cubed@mastodon.socialA This user is from outside of this forum
                            a_cubed@mastodon.socialA This user is from outside of this forum
                            a_cubed@mastodon.social
                            wrote last edited by
                            #28

                            @chu
                            PM me and I'll happily share handout and slides for my presenting course (env sci at UTokyo) if you think it might be useful.

                            1 Reply Last reply
                            0
                            • chu@climatejustice.socialC chu@climatejustice.social

                              I'll be teaching a course in the fall on data communication.

                              One of the assignments I hope to put together is a lesson on how data is manipulated. I want to show how easy it is for climate change deniers, anti vaxxers, etc to crop data, stretch or flip an axis and suggest the opposite of what the data is actually showing. Still thinking through the assignment and I'm thinking of having them make an honest representation and one less so.

                              I think there's value to such a lesson given how much downright lying we have from not just randos but even political circles these days.

                              Was just going to use publicly available data sources but then I am thinking that there must be researchers here who have awesome data they wouldn't mind seeing put into visual form. If you do have data you'd be willing to let me use, please drop me a comment or PM and let me know how to access it. Thanks!

                              (P.S. would appreciate a share for wider reach)

                              #academicChatter

                              M This user is from outside of this forum
                              M This user is from outside of this forum
                              mdwaroff@mastodon.social
                              wrote last edited by
                              #29

                              @chu My all-time favorite for this is "How to Lie with Statistics" https://dn710604.ca.archive.org/0/items/HowToLieWithStatistics_201608/How-to-Lie-With-Statistics-1954-Huff_text.pdf

                              carstoid@mathstodon.xyzC 1 Reply Last reply
                              0
                              • chu@climatejustice.socialC chu@climatejustice.social

                                I'll be teaching a course in the fall on data communication.

                                One of the assignments I hope to put together is a lesson on how data is manipulated. I want to show how easy it is for climate change deniers, anti vaxxers, etc to crop data, stretch or flip an axis and suggest the opposite of what the data is actually showing. Still thinking through the assignment and I'm thinking of having them make an honest representation and one less so.

                                I think there's value to such a lesson given how much downright lying we have from not just randos but even political circles these days.

                                Was just going to use publicly available data sources but then I am thinking that there must be researchers here who have awesome data they wouldn't mind seeing put into visual form. If you do have data you'd be willing to let me use, please drop me a comment or PM and let me know how to access it. Thanks!

                                (P.S. would appreciate a share for wider reach)

                                #academicChatter

                                pinhman@humanwords.partyP This user is from outside of this forum
                                pinhman@humanwords.partyP This user is from outside of this forum
                                pinhman@humanwords.party
                                wrote last edited by
                                #30

                                @chu Neil Brooks analysis of Fraser Institutes "Tax Freedom Day" could be good.

                                Fraser I., is a conservative Canadian "Think tank" (political advocacy organization)

                                It releases a new "study" each year, it has received wide uncritical coverage in Canadian media for decades

                                https://www.policyalternatives.ca/wp-content/uploads/attachments/tax_freedom_day.pdf?x46002

                                Just a moment...

                                favicon

                                (pressprogress.ca)

                                chu@climatejustice.socialC 1 Reply Last reply
                                0
                                • pinhman@humanwords.partyP pinhman@humanwords.party

                                  @chu Neil Brooks analysis of Fraser Institutes "Tax Freedom Day" could be good.

                                  Fraser I., is a conservative Canadian "Think tank" (political advocacy organization)

                                  It releases a new "study" each year, it has received wide uncritical coverage in Canadian media for decades

                                  https://www.policyalternatives.ca/wp-content/uploads/attachments/tax_freedom_day.pdf?x46002

                                  Just a moment...

                                  favicon

                                  (pressprogress.ca)

                                  chu@climatejustice.socialC This user is from outside of this forum
                                  chu@climatejustice.socialC This user is from outside of this forum
                                  chu@climatejustice.social
                                  wrote last edited by
                                  #31

                                  @pinhman

                                  Thanks

                                  1 Reply Last reply
                                  0
                                  • chu@climatejustice.socialC chu@climatejustice.social

                                    I'll be teaching a course in the fall on data communication.

                                    One of the assignments I hope to put together is a lesson on how data is manipulated. I want to show how easy it is for climate change deniers, anti vaxxers, etc to crop data, stretch or flip an axis and suggest the opposite of what the data is actually showing. Still thinking through the assignment and I'm thinking of having them make an honest representation and one less so.

                                    I think there's value to such a lesson given how much downright lying we have from not just randos but even political circles these days.

                                    Was just going to use publicly available data sources but then I am thinking that there must be researchers here who have awesome data they wouldn't mind seeing put into visual form. If you do have data you'd be willing to let me use, please drop me a comment or PM and let me know how to access it. Thanks!

                                    (P.S. would appreciate a share for wider reach)

                                    #academicChatter

                                    wnd@fosstodon.orgW This user is from outside of this forum
                                    wnd@fosstodon.orgW This user is from outside of this forum
                                    wnd@fosstodon.org
                                    wrote last edited by
                                    #32

                                    @chu if you are interested in #OpenData you may want to consider the following, although it is quite UK specific:

                                    The transport energy and environment data tables: https://www.gov.uk/government/statistical-data-sets/energy-and-environment-data-tables-env
                                    UK National Atmospheric Emissions Inventory (NAEI) showing various emissions https://naei.energysecurity.gov.uk

                                    (There is a bigger list of open data collated here https://anisotropi4.github.io/shed/opendata.html
                                    It is less relevant to the ask but is stuff I have used in talks or visualisations.)

                                    chu@climatejustice.socialC 1 Reply Last reply
                                    0
                                    • chu@climatejustice.socialC chu@climatejustice.social

                                      I'll be teaching a course in the fall on data communication.

                                      One of the assignments I hope to put together is a lesson on how data is manipulated. I want to show how easy it is for climate change deniers, anti vaxxers, etc to crop data, stretch or flip an axis and suggest the opposite of what the data is actually showing. Still thinking through the assignment and I'm thinking of having them make an honest representation and one less so.

                                      I think there's value to such a lesson given how much downright lying we have from not just randos but even political circles these days.

                                      Was just going to use publicly available data sources but then I am thinking that there must be researchers here who have awesome data they wouldn't mind seeing put into visual form. If you do have data you'd be willing to let me use, please drop me a comment or PM and let me know how to access it. Thanks!

                                      (P.S. would appreciate a share for wider reach)

                                      #academicChatter

                                      2qx@mastodon.social2 This user is from outside of this forum
                                      2qx@mastodon.social2 This user is from outside of this forum
                                      2qx@mastodon.social
                                      wrote last edited by
                                      #33

                                      @chu

                                      In 1998, Bill Clinton read a book called The Cobra Event, about a biological terror attack on US soil. The ultimate outcome was two things: 1) the Strategic National Stockpile (SNS), and 2) a new anti-vaccine movement.

                                      In the Fall of 2001, in the wake of 9/11, Dick Cheney watched the outcome of a war game exercise called "Dark Winter" and upped the stockpile to 300M vaccines.

                                      Is there a non-zero possibility you might consider assigning fiction?

                                      Link Preview Image
                                      The Monterey Protocols - A novella for non-proliferation

                                      A short fictional thriller posing pressing strategic questions on a set of latent issues in civil defense.

                                      favicon

                                      monterey-protocols (montereyprotocols.org)

                                      chu@climatejustice.socialC 1 Reply Last reply
                                      0
                                      • chu@climatejustice.socialC chu@climatejustice.social

                                        I'll be teaching a course in the fall on data communication.

                                        One of the assignments I hope to put together is a lesson on how data is manipulated. I want to show how easy it is for climate change deniers, anti vaxxers, etc to crop data, stretch or flip an axis and suggest the opposite of what the data is actually showing. Still thinking through the assignment and I'm thinking of having them make an honest representation and one less so.

                                        I think there's value to such a lesson given how much downright lying we have from not just randos but even political circles these days.

                                        Was just going to use publicly available data sources but then I am thinking that there must be researchers here who have awesome data they wouldn't mind seeing put into visual form. If you do have data you'd be willing to let me use, please drop me a comment or PM and let me know how to access it. Thanks!

                                        (P.S. would appreciate a share for wider reach)

                                        #academicChatter

                                        rob@social.afront.orgR This user is from outside of this forum
                                        rob@social.afront.orgR This user is from outside of this forum
                                        rob@social.afront.org
                                        wrote last edited by
                                        #34

                                        @chu — Supreme Court decision rates. You can make it appear the Court is hyperpartisan or hypercollegial depending entirely on how you define a Supreme Court case.

                                        The majority of SCOTUS cases are disposed of via GVR. In a single order they (G)rant the request for SCOTUS review, (V)acate the lower court decision, and (R)emand to the lower court for further hearings — usually with a Post-It attached explaining to the lower court judge where they screwed up and what they should've done instead.

                                        GVRs represent the majority of their output and are overwhelmingly (>90%) 7-2, 8-1, or 9-0.

                                        Cases that get invited for full argument before the Court represent the smallest chunk of their output, and tend to break down 5-4 or 6-3 along predictable fault lines.

                                        Very few national pundits nattering about the "factionalism" of SCOTUS are ever honest enough to talk about the GVR rate, or other measures which do not support the factionalization narrative.

                                        hypolite@friendica.mrpetovan.comH 1 Reply Last reply
                                        0
                                        • 2qx@mastodon.social2 2qx@mastodon.social

                                          @chu

                                          In 1998, Bill Clinton read a book called The Cobra Event, about a biological terror attack on US soil. The ultimate outcome was two things: 1) the Strategic National Stockpile (SNS), and 2) a new anti-vaccine movement.

                                          In the Fall of 2001, in the wake of 9/11, Dick Cheney watched the outcome of a war game exercise called "Dark Winter" and upped the stockpile to 300M vaccines.

                                          Is there a non-zero possibility you might consider assigning fiction?

                                          Link Preview Image
                                          The Monterey Protocols - A novella for non-proliferation

                                          A short fictional thriller posing pressing strategic questions on a set of latent issues in civil defense.

                                          favicon

                                          monterey-protocols (montereyprotocols.org)

                                          chu@climatejustice.socialC This user is from outside of this forum
                                          chu@climatejustice.socialC This user is from outside of this forum
                                          chu@climatejustice.social
                                          wrote last edited by
                                          #35

                                          @2qx

                                          Will look. Thanks

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