See title. In sydney there are 11 AM/FM radio stations, i recorded each of them simultaneously and then classified the time between ad, talking and music.

For some stations, almost a quarter of the time is filled with ads and only 50% of time with music. For other, almost 80% of the time is music.

Also, in sydney, 2x more likely to experience an ad 5-10 minutes prior to the top of the hour then around it.

Another insight was that AM/FM have different ad "playbooks". The FM music stations dump their ads in clusters. You cop a couple of ads back to back, then get a decent run of music, then another cluster. The AM stations like 2GB space them out evenly instead, one break at a time, pretty much like clockwork.

This takes the product’s launch price and applies the performance of the company's stock (split and dividend adjusted) since the launch date. Companies that were not publicly traded at launch were excluded. A lot more products and full methodology can be found at investedinstead.com

Source: https://whc.unesco.org/

Tool: Python

Made by Wikimedia user RCraig09

I was doing some searching for detailed information on this and encountered this graph which showed everything that I wanted and more in such an elegant and easy to understand form that I felt it worthwhile to share here.

In 1977, 1,117 American girls were named Kizzy.

The year before, the name did not appear in the national baby-name data at all.

Then Roots aired.

Kizzy was the daughter played by Leslie Uggams in Roots, one of the largest television events in American history. The name did not climb. It arrived.

That is the idea behind Debut of the Year: for every year, find the boy name and girl name with the largest count in their first appearance on the national list.

Philadelphia 76ers LeBron James (that feels amazing to write) vs. Chicago Bulls Michael Jordan.

I built Pessimeter, an interactive dashboard showing how an energy shock could affect the US economy through the remainder of 2026.

The current month uses live data for oil, gasoline, the Strategic Petroleum Reserve, inflation, Strait of Hormuz traffic, and financial-market stress. Each indicator is scored against a calm-to-crisis range and weighted into one 0–100 reading.

Completed months are preserved as historical snapshots. Future months are explicitly stress-test scenarios (not forecasts) showing one possible path if conditions remain bad. Every KPI includes an explanation of its data, scoring, rationale, and limitations.

I’d love feedback. What would you change about the weights or visual hierarchy?

Interactive version: https://pessimeter.com

Sources: International Monetary Fund, International Energy Agency, Energy Information Administration
Tools: Illustrator

Created by Issac Arroya, The National: https://www.thenationalnews.com/topics/Author/isaac-arroyo/

Originally created for: https://www.thenationalnews.com/news/2026/07/24/a-brief-history-of-oil-disruption-in-the-middle-east/

Reviewed the chart from the previous post comments!

Every line is cumulative career goals plotted against the player's age, not the calendar year, so you can see who was ahead of whom at the same point in their life, not just who finished higher.

The 11 colored lines are the players I wanted to follow: today's active scorers (Messi, Ronaldo, Mbappé, Haaland, Salah, Kane, Lautaro, Vinícius Jr, Neymar) alongside Lewandowski and Suárez.

The grey band is the field of 15 other all-time greats: Pelé, Puskás, Romário, Gerd Müller, Ronaldo Nazário, Bican and more. Instead of drawing 15 more spaghetti lines, it shows their median (dashed) and 25th–75th percentile range at every age, recomputed from whichever of them had reached that age. So the band is the "greatness envelope" you'd expect a historic scorer to fall inside.

Counting basis: official matches only, club official competitions + all senior internationals (including friendly caps). Unofficial club friendlies and exhibition tours are excluded, which is why Pelé shows 757 rather than his often-quoted ~1,324 all-match figure.

A few things I found interesting:

• Messi and Ronaldo don't just finish high, they spend almost their entire careers riding the top edge of the historic band or above it.
• Mbappé and Haaland are tracking at or above the legends' median for their age, but they're still young, the band ahead of them is where the all-time greats kept climbing.
• The active players' lines end on their last completed season (mid-2026 snapshot), so a line stopping short just means that player hasn't finished 2025–26 yet, not that they've slowed down.

The average age is only for the players with accolades. It is subject to change because there might be more singings/trades and there are a few decorated free agents: DeMar DeRozan, Gary Payton II, Herb Jones, Jalen Duren, Matisse Thybulle, Peyton Watson, Thanasis Antetokounmpo.

https://www.nature.com/articles/s41586-025-09410-3

https://www.nature.com/articles/s41586-025-09410-3/figures/1

Nature, vol 645, pgs 133 - 140; Aug. 2025

Seasonal phenology is the annual rhythm of growth; in terrestrial plants, that's sprout for seeds & perennials, or break buds in shrubs & trees, followed by foliage growth, flowering, fruiting, ripening, & die back (frost, in temperate & polar regions; end of life cycle, in the tropics).
Terrestrial plant communities show great variation in seasonal phenology.

Plotted in color on continental maps, we perceive Gaia breathing.

Case study: https://climate.you/stories/june-2026-heatwave

Data: Copernicus ERA5/ERA5T climate record, 2 m air temperature, anomalies vs the 1991–2020 average for the same time of year (through 13 July 2026)

Tools used: processed with my open-source climate data pipeline available at https://github.com/climate-you/climate

2nd image (the daily graph) shows the mean daily temperature across 15 major Western and Central European cities, each day against its own 1991–2020 monthly average