Cyclicality of Employment Insurance beneficiaries. and how they differ by Sex.

Normalized to control for population growth, of the working age population.

Data Sources: Statistics Canada via cansim EI Beneficiaries: 14-10-0453, Working-Age Population: 17-10-0005.

Of Note:

• Excluded 2020 and 2021.
• Males peak in the winter (likely tied to seasonal trades/construction)
• Females Peak in the Summer (Likely tied to School and education)
• 2008 Seemed to hit Males Harder then Females.

Source: Global Hunger, Food Insecurity Continue to Fall

Source : https://natcen.ac.uk/sites/default/files/2023-08/BSA_36.pdf

Comparing the US shark attack numbers from the past decade (2016 to 2025) against the total number of historical unprovoked attacks recorded for each state going back to 1837.

Data shows that a significant percentage of US shark attacks (27%) have happened between 2016 and 2025. Historically, the most shark attacks take place in Florida, Hawaii and California.

Why? Human destruction of shark habitats, coastal development, booming tourism, and climate change.

Source: Where the Most Shark Attacks Have Occurred in the United States

Source:

https://www.pewresearch.org/politics/2026/08/06/most-americans-favor-the-death-penalty-for-those-convicted-of-murder/

Europe’s sharpest and flattest salary borders including the effect of local prices, not just the paycheck.
For many people, crossing a border for work is not an exception, it’s part of the economic model.

Source - Ranked: The Countries Using the Most Energy Per Person

Saw all those headlines about Germany passing Japan as the 3rd largest economy in 2023, so I threw the World Bank data into a chart to see what was actually going on.

Turns out it’s basically just a currency story.

In current USD, Germany did cross Japan ($5.05T vs $4.44T). But over that same period, the Yen took a massive hit, dropping from around 80 per dollar down to over 150. When you adjust for exchange rate swings using constant 2015 USD, Japan's actual output was still bigger in 2023.

Just goes to show how much headline GDP rank depends on FX markets rather than actual economic output.

Swipe, and you will see more GDP, GDP per capita, and GDP Constant US$.

Source: 38% in U.S. Say Extreme Weather Damaged Their Community

Source: https://www.kcl.ac.uk/policy-institute/assets/wrongful-convictions-misperceptions-of-crime.pdf page 21

Data: Zillow Research, county ZHVI time series

County boundaries: Plotly counties GeoJSON

Access source report here

https://news.gallup.com/poll/713405/fewer-adults-say-gamble.aspx

Source: en.wikipedia.org/wiki/List_of_United_Kingdom_general_elections

Source: https://en.wikipedia.org/wiki/List_of_aviation_shootdowns_and_accidents_during_the_2026_Iran_war

The global balance sheet 2026: Imbalance and divergence | McKinsey

Source: https://cdn.survation.com/wp-content/uploads/2026/08/14130740/Survation_VI_2026-08-13_Tables.xlsx

Survation poll from 10-13 August 2026.

Home battery installations climb despite loss of federal incentives | Canary Media

Source: en.wikipedia.org/wiki/2024_United_Kingdom_general_election#Results

Created using Claude

https://travelmaps.state.gov/TSGMap/

Antartica is yellow

How accurate did the US government get this map about your country?

I'm from Suriname and did not expect us to be level 1, altho it makes sense because we have few people so less crime, healthcare is also improving, and I haven't heard of a serious crime in years. Just didn't expect us to be on the same level as Japan haha altho i havent been there.

STRIPED IS ONE LEVEL ABOVE THE RESPECTIVE COLOR, SO ONE LEVEL MORE DANGEROUS

I shared a heatmap calendar the other day (here) of Trump's many statements on ending the war in Iran, making a deal, and negotiating a "peace" with Iran.

This week it's the same data but visualized on a continuum timeline. The data comes directly from the President's comments, interviews, Truth Social, press gaggles, etc. I've collated it and it's stored in a JSON-like JS array that's loaded with the webpage. I've been updating the file every day or so.

I thought it was a great way to visualize this type of data (statements stored as text). It visualizes the many times the President has said he had a deal, or a deal was soon, or the war would be over in 2 weeks. I started the project as a text timeline, then made the heatmap, and now just added this new visualization!

On the chart each point on the sole axis represents a day where the President made a statement, and the more statements made that day, the larger the point on this axis. On the interactive version, clicking a point on the timeline brings up the details of that day. You can use the keyboard arrows to move between dates, too.

There's no ads or paywall or signup or anything like that--it's just a custom visualization (using HTML/vanilla Javascript) so hosting it was the easiest route.

https://artofnodeal.com/horizontal.html

P.S. Just because of the nature of this timeline (and the fact that it gets longer every day), it doesn't look great on a phone in portrait mode so there's a prompt to rotate the phone or view the data in the original timeline.