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

[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.

[edwiebe@scribili.masto.host]

@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/

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…

Open Mind (tamino.wordpress.com)

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…

Open Mind (tamino.wordpress.com)

[chuckthewriter@mstdn.social]

@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.

[chu@climatejustice.social]

@a_cubed @troublewithwords

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

[chu@climatejustice.social]

@Roofhare

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

[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.social]

@JustinDerrick

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

[a_cubed@mastodon.social]

@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.

[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

[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...

(pressprogress.ca)

[chu@climatejustice.social]

@pinhman

Thanks

[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.)

[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?

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.

monterey-protocols (montereyprotocols.org)

[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.

[chu@climatejustice.social]

@2qx

Will look. Thanks

[chu@climatejustice.social]

@wnd

Thanks

Do you know if this exists for other countries?

[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.social]

@carstoid @mdwaroff

Thanks!

[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.org]

@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)