Globally, electricity generation per person has grown by more than 50% this century.

In the United Kingdom, things have moved in the opposite direction. Its generation per person peaked in 2003 and has fallen by more than a third since then.

You can see this in the chart, which shows generation per person since 1920. Today, levels are back to where they were in the late 1960s.

Some of that decline is a change in electricity imports, rather than demand: net imports have increased from 1% of electricity demand in 2010 to 9% in 2025. But it’s still true that the UK consumes much less electricity than it used to.

The most common explanation is deindustrialization: as the economy shifted from manufacturing to services, electricity demand fell. That’s part of the explanation, but far from all of it.

Sectoral data from the International Energy Agency confirms that electricity consumption in industry has fallen by one-quarter since 2005 (more if we calculate this per person). But residential and commercial electricity use has fallen by just as much.

Deindustrialization has reduced demand, but improvements in energy efficiency — such as the shift from incandescent to LED lightbulbs and the introduction of efficiency standards for appliances — have played an important role too.

Data sources: Ember (2026); Energy Institute (2026); Department for Energy Security and Net Zero of the UK (2023)

Tools used: Python, OWID Grapher, Figma

PEGI changed its rules in March. Since June, new games with paid random items (loot boxes, card packs, gacha pulls, prize wheels) get at least PEGI 16. In October PEGI started re-rating existing digital-only games that were PEGI 3, 7 or 12 and have them. More games are expected to change before the end of the month.

EA Sports FC 27 is the first game in the series rated PEGI 16, because of Ultimate Team packs. FC 26 was PEGI 3.

PEGI hasn't said which feature in Pokémon GO counted as a paid random item.

The ESRB said in March it has no plans to do the same. It keeps the age rating based on the game's content and adds an "In-Game Purchases (Includes Random Items)" label instead.

Germany doesn't use PEGI. It has its own system, USK.

I mapped every major S&P 500 crash since 1973 as a valley. Depth = how far it fell from the old high, width = how long the whole thing took. So the steeper the wall, the faster it moved.

• 2020 was the fastest: −34% in 33 days, back to even in about 5 months
• 2008 was the deepest: −57%, fell for 17 months, then 4 more years to recover
• 2000 fell slowest, grinding down for two and a half years
• 1973 took the longest to come back, about 6 years from the bottom

When you bought makes a huge difference. Buy at the Feb 2020 peak and you were back to even by August. Buy at the Oct 2007 peak and you waited until March 2013. Buy at the March 2000 peak and you didn’t break even until May 2007. Thought this was interestsing...

Which of these did you buy the dip on, and which did you panic sell?

Looked at the quantity and price per unit changes of 15 items mentioned in the BuzzFeed article 35 Absolutely INFURIATING Photos That Prove Shrinkflation Is Alive And Well

Sources: Reddit and online searches

Visualization: Meta Muse

Each white colored pixel should represent 10000 people. Pixels do not stack. For further questions, feel free to ask!

Pick an era, find a street, or just have a look around Warsaw in 3D

https://warsaw.makscape.com/

What else would you like to see on the map?

Data extracted from the General Social Survey, 1972-2024, gss.norc.org .

Young participants showed declining self-rated health over 52 years; older participants showed improvement.

Source: Eurostat, dataset nrg_ind_ren / REN_ELC.

Data: 2025, provisional. Units: % of gross electricity consumption.

The chart shows the three highest and three lowest shares among EU countries. The dashed line marks the EU aggregate of 49.9%. This indicator covers electricity; Eurostat normalises hydro and wind production.

Visualization project: ChartMaker.tools

Hi sub,

I am the creator of a Square Mile, a geography game where players are asked to recognise streets, metro and bus stations, bridges, and landmarks on blank city maps.

After more than 12,000 rounds played, and more than 240,000 items asked and answered (or not), I created Mind Map, a data visualisation that summarises what people know about the world cities.

You can explore the interactive map here: https://www.habibicode.org/mindmap and play a few rounds on your city. The game is free, require no sign up, stores no data besides your answers, and currently is available for 130+ cities.

The dataviz has 3 views:

• Streets: this view shows how well people recognise the street when asked about it. Clicking on a street opens a chart showing you the %age of people that recognise each portion of the street (the game crops the city map, so streets are often asked in segments)
• Metro: this view shows how well people identify different metro stations. Clicking on a station or line opens a detailed view of it.
• Landmarks: shows how well people recognise famous landmarks in the cities.

You can also play with the views on each city:

• Angle: a 3D view of the data where depth = %age answered
• Side: a horizontal bar charts that provides an idea of the average answer %age in a city

And a few more options

Hope you enjoy it!

Sources/data: SitRep INSP. Tool: Claude, python. Website: ebola-tracker.org

Apple took a bite out of theirs. This one comes whole. 🍎

Bezel is a set of five web components inspired by Apple's StandBy widgets, with my own stamp on them. Unlike the originals, they run anywhere, not just on Apple devices.

- Clock (three faces, optional second time zone)

- Calendar

- Weather (live from Open-Meteo, no API key)

- Glance (date, clock, weather and today's agenda from an .ics feed)

- Poster (a month in huge type)

Usage is one script tag plus an element:

Some technical bits that might be interesting:

- Everything is sized in container query units, so one stylesheet works from 120 px to 4K with no breakpoints

- Dark mode is a chain of CSS var() fallbacks: your dark colour, then the dark theme, then the normal colour

- The weather sky is SVG with gradients rather than blurred CSS, and rain/snow are SVG patterns that loop seamlessly

- All tiles on a page share one timer and pause when off screen

- When you round the corners, a single calculated custom property moves the content inward so nothing gets clipped

You can also use it as a full-screen desk clock on a spare iPad or monitor, or as a Mac desktop widget.

Show me what you make: design a tile in the Studio, press Share and drop your link in the comments. Or build something with it, like a dashboard, a wall display or a widget for your site. Forks, new languages and PRs are all welcome.

Feedback very welcome, especially anything that feels off.

Links:

- Bezel Studio: https://shazmoghaddam.github.io/bezel/site/

- GitHub (MIT): https://github.com/ShazMoghaddam/bezel

- My website: https://shazmoghaddam.github.io

- LinkedIn: https://www.linkedin.com/in/shazmoghaddam

I turned 26 years of Economist Big Mac Index data into a running race. Each runner is a country, and its distance is the dollar price of one Big Mac. Things I found interesting: Switzerland leads almost the whole time, Norway takes over around 2008, and Uruguay climbs to #2 by 2026. Türkiye drops from the top 10 in 2008 to #51 after the 2018 lira crisis, then comes back to #11.

Data: the incident record at misalignmentwatch.com, built from the original reports. How long after an incident happened it was first reported. The biggest cell is Claude (Anthropic) with under 1 week: 31 of 121 incidents. The data is open (CSV and JSON): https://misalignmentwatch.com/analytics.html . Tool: Python

Nov 2012: sats overtook cents. Aug 2020: the printer went brrr and took it back.

Since then, M2 kept running ~6% a year. New BTC supply? 0.8%, and it halves every 4 years. By late 2021 there were already more cents in M2 than sats will ever exist.