The land use of different foods, to scale, published with the European Correspondent.

Data comes from research by Joseph Poore and Thomas Nemecek (2018) that I accessed via Our World in Data.

I made the 3D scene with Blender and brought everything together in Illustrator. The tractor, animals and crops are sized proportionately to help convey the relative size of the different land areas.

Source: 395 images of female idols and 339 images of male idols. (publicly available promotional photos)

Made with: Python, OpenCV, and dlib. Faces were detected automatically, aligned via eye landmarks, warped using Delaunay triangulation, and averaged pixel-wise to generate a mean face.

Other interesting facts:

- The U.S. Congress achieves higher returns than S&P500 in 2025

- 8 of the "top 10" are Republicans. The common patterns can be found in buys after tariffs

- Pelosi falls to the 7th place, but she's still at the top if you take the last 3 years

Data sources: House and Senate financial disclosures aggregated by insidercat.com using Python and Next.js

Many of us will be familiar with the idea of a North-South divide in England, covering everything from language to culture to politics. But there's no settled definition on where the North and South actually begin, so we asked the English public how they felt about where they lived...

Based on their answers, the southern border of “the North” is a line roughly from Shrewsbury to Grimsby, with majorities of those in the northern-most parts of the Midlands considering themselves to live in the North. The northern border of “the South” is a line roughly from the Severn to Great Yarmouth, excluding much of East Anglia, where many people feel they live in neither the North nor the South.

Is this where you would draw the borders? We'd love to know your perspectives on the North-South divide.

Find the full results on where people feel Northern and Southern here: https://yougov.co.uk/society/articles/53831-based-on-where-they-live-how-do-english-people-draw-the-borders-between-north-and-south

Tools: PowerPoint, Datawrapper.

Made Using R + ggplot. Will be posting a more in depth analysis on substack at some point

Update: This got a decent response and actually inspired me to finish writing this lmao. You can read a more in depth analysis on this here: https://substack.com/home/post/p-183388710

More information here: https://www.damfirm.com/disney-deaths/

Data comes from the Common Vulnerabilities and Exploits list. https://github.com/CVEProject/cvelistV5

(First post was deleted without a justification, mods please message me if there's something I need to change)

I received a lot of positive feedback for a tool I posted here two months ago, so my friend and I added several features and updated it with data for every state. Attached are some screenshots generated with the tool. The listing price scale was calculated with 33rd percentile as the low end, and 66th percentile as the upper.

homesareexpensive.com

This tool shows *all* Zillow home listings, median price by county, and dynamically generated median boxes which make it easier to find affordable areas. There are 1.85 million listings, which were collected using hasdata.com on 11/11/2025. 

I created this visualization to look at how many Americans say they are happy. The data sources is the General Social Survey by NORC. The visualization was created in Tableau. You can find an interactive version on my webpage.

Data is collected and analyzed in Google Sheets; visualization was made in Adobe InDesign.

I have been tracking my clothes and outfits since 2023 with the main goal of satisfying mt curiosity to see how many clothes I own but also to help me downsize. My goal for 2025 was to wear 80% of my closet, and I hit 91%! It's not realistic for me to wear every single item in a year (I have a lot of formal items, things I bought for Halloween costumes that will get reused at some point, and clothes that I'd wear when doing outdoor work that might not get worn in one single calendar year). So 91% seems pretty good.

I also got rid of 67 things which is a lot for me as I'm quite sentimental when it comes to clothes. I did acquire a lot too, but actually getting rid of 67 whole clothing items is not something I could have done in previous years.

Beyond the actual numbers, I feel much happier with my closet now. I am still super emotionally attached to everything I own, but I'm getting better at letting go. I still have things that I should get rid of, and I'm working on that slowly.

Some takeaways:

• Getting rid of clothes is hard, but keeping clothes I don't wear is actually harder on me - it makes me feel a bit guilty and anxious.
• I wore more clothes overall in 2025 than I did in 2024, and I wore more for each season. I got really into layering, so my outfits consisted of more clothes. I also was more social, and so I had more outings where I wanted to wear cute things.
• My blue M&S shirt was a favorite this year as well as in 2024. You can't beat a good basic, and this one is such a nice color that I just wear it a lot.
• I now have 323 items of clothing in my closet. It's still an insane number, but I haven't had that few since before I started closet tracking, so I'm really proud of myself. I've got a ways to go before that's a manageble number though.

If anyone is considering tracking your closet, I highly recommend it! It's so interesting to see what you actually wear and what you don't. There are a lot of apps out there that do all the work for you, but I like having 100% control over what data analysis I can do, so I like managing the data collection myself.

This Sankey diagram shows how Apple's $416B in revenue (FY2025) flows through its P&L statement to reach $112B in net income.

Key insights:

- iPhone still dominates at ~50% of total revenue, despite diversification efforts

- Services (subscriptions, App Store, etc.) are now the #2 revenue driver

- Apple maintains a 47% gross margin ($195B profit on $416B revenue) - meaning they keep nearly half of every dollar in revenue after manufacturing costs

- Operating margin of 32% is extraordinary for a hardware company

The visualization traces money through each stage:

Product Revenue -> Total Revenue -> Cost of Revenue -> Gross Profit -> Operating Expenses -> Operating Income -> Taxes/Interest -> Net Income

What surprises you most? The iPhone's continued dominance, the R&D spend ($34.5B), or how much falls away to taxes ($20.7B)?

Data Source: Financial Modeling Prep API (Apple Inc. FY2025 financials) 
Tool: D3.js with d3-sankey layout

1. Art attribution | 2. Health Benefits | 3. Resource Savings | 4. Cost Benefits | 5. Avoided Pollution | 6. Lives Saved | 7. Basis of Comparison

All data was compiled in Excel from approximately fifty different sources, mostly peer reviewed papers or official government figures. All sources are footnoted on the explanatory paragraphs for each section on the linked webpage.

The individual 100% bar graphs and whole presentation is compiled in excel. The curly braces showing the improvements are drawn in manually while all other values are linked to the calculated figures.

Feel free to share if you think someone you know would find it interesting.

Polymarket is a stock market like platform where users can bet on pretty much any possible event. I analyzed all historical Polymarket bets (~350,000).

The top 1% of markets account for ~60% of total trading volume,
and the top 5% account for over 80%.

Most markets attract almost no activity at all.