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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

    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

                            1 Reply Last reply
                            0
                            • wnd@fosstodon.orgW wnd@fosstodon.org

                              @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 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
                              #36

                              @wnd

                              Thanks

                              Do you know if this exists for other countries?

                              wnd@fosstodon.orgW 1 Reply Last reply
                              0
                              • M mdwaroff@mastodon.social

                                @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 This user is from outside of this forum
                                carstoid@mathstodon.xyzC This user is from outside of this forum
                                carstoid@mathstodon.xyz
                                wrote last edited by
                                #37

                                @mdwaroff @chu I love How to Lie with Maps (title is a tribute to How To Lie with Statistics) https://en.wikipedia.org/wiki/How_to_Lie_with_Maps

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

                                  @mdwaroff @chu I love How to Lie with Maps (title is a tribute to How To Lie with Statistics) https://en.wikipedia.org/wiki/How_to_Lie_with_Maps

                                  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
                                  #38

                                  @carstoid @mdwaroff

                                  Thanks!

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

                                    @wnd

                                    Thanks

                                    Do you know if this exists for other countries?

                                    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
                                    #39

                                    @chu yes. There is the EU Global Human Settlement Layer (GHSL) @CopernicusECMWF data here https://human-settlement.emergency.copernicus.eu/GHSLDataTools.php
                                    I've used urban classification data and note "Climate Change" data https://climate.copernicus.eu/ but as I have never used it, I'm not sure how much use this is.

                                    There is also @WorldPopProject
                                    data https://hub.worldpop.org/. They have population and Global flight data https://hub.worldpop.org/project/categories?id=13

                                    (Noting I'm a dilettante with a focus on European public transport and heavy rail...)

                                    wnd@fosstodon.orgW chu@climatejustice.socialC 2 Replies Last reply
                                    0
                                    • wnd@fosstodon.orgW wnd@fosstodon.org

                                      @chu yes. There is the EU Global Human Settlement Layer (GHSL) @CopernicusECMWF data here https://human-settlement.emergency.copernicus.eu/GHSLDataTools.php
                                      I've used urban classification data and note "Climate Change" data https://climate.copernicus.eu/ but as I have never used it, I'm not sure how much use this is.

                                      There is also @WorldPopProject
                                      data https://hub.worldpop.org/. They have population and Global flight data https://hub.worldpop.org/project/categories?id=13

                                      (Noting I'm a dilettante with a focus on European public transport and heavy rail...)

                                      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
                                      #40

                                      @chu (this then off the intent of your question but there is then stuff like the @openstreetmap which also provides an interesting map resource for features and names https://www.openstreetmap.org/#map=6/47.42/20.92.

                                      Just to get a plug in here, here are some examples of #DataVisualisation from the #30DayMapChallenge which shows what you can draw with this date, if nothing else
                                      https://anisotropi4.github.io/shed/30daymapchallenge.html)

                                      chu@climatejustice.socialC 1 Reply Last reply
                                      0
                                      • wnd@fosstodon.orgW wnd@fosstodon.org

                                        @chu yes. There is the EU Global Human Settlement Layer (GHSL) @CopernicusECMWF data here https://human-settlement.emergency.copernicus.eu/GHSLDataTools.php
                                        I've used urban classification data and note "Climate Change" data https://climate.copernicus.eu/ but as I have never used it, I'm not sure how much use this is.

                                        There is also @WorldPopProject
                                        data https://hub.worldpop.org/. They have population and Global flight data https://hub.worldpop.org/project/categories?id=13

                                        (Noting I'm a dilettante with a focus on European public transport and heavy rail...)

                                        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
                                        #41

                                        @wnd @CopernicusECMWF @WorldPopProject

                                        Thanks.

                                        Will go through all these resources as I really start to put the course together over the summer. Appreciate it

                                        1 Reply Last reply
                                        0
                                        • rob@social.afront.orgR rob@social.afront.org

                                          @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 This user is from outside of this forum
                                          hypolite@friendica.mrpetovan.comH This user is from outside of this forum
                                          hypolite@friendica.mrpetovan.com
                                          wrote last edited by
                                          #42
                                          @rob @chu The current hyperpartisanism of the US Supreme Court has nothing to do with how votes are split but the policies they allow. From recent memories, they’ve allowed post-hoc political corruption (“it’s not a bribe anymore after the vote”), erosion of women’s reproductive right by repealing Roe vs Wade and enabled political segregation in Louisiana. None of the vote splits on these cases will speak louder than the political and social consequences of these decisions.
                                          1 Reply Last reply
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