https://project270.vote/wp-content/uploads/2026/10/Project-270-Oct-26-Poll-Analysis.pdf?v=2

Source: https://www.imf.org/external/datamapper/NGDPDPC@WEO/OEMDC/ADVEC/WEOWORLD

Source: https://www.horiba.com/int/scientific/resources/science-in-action/where-do-microplastics-come-from/

3,610 players dated 15 things older than 1000 bc. 54% of their 4,301 guesses landed after 500 bc. the typical one came out about 1,500 years too late.

(how it works: you see the name and a small picture, then drop a pin on a timeline from 3000 bc to today. no starting pin, nothing to compare it with, some rounds have a one-line hint.)

who guessed: players from 73 countries. where the country is known, a third of the guesses came from the us and one in eight from the uk; i don't ask for age or gender. bronze age guesses after 500 bc: us 61%, uk 58%, germany 66%.

data: guesses from When?, a daily dating game i made on roughly.is, 18 sep to 13 oct 2026.

more visuals, source, csv and true dates (wikipedia): https://roughly.is/blog/bronze-age-guessed-too-late.html?s=reddit-charts

Source: Eurostat, air transport by aircraft model, transport coverage, type of schedule and country [AVIA_TF_ACC], passengers on board, 2025 (2019 for comparison): https://ec.europa.eu/eurostat/databrowser/view/avia_tf_acc/default/table

Share = passengers on Boeing planes (737, 747, 757, 767, 777, 787 and older models) divided by all passengers on commercial flights to, from and within the country's airports. Circle size is that total. *Many passengers here are on planes the data lists only as "other". In the Baltics and Switzerland that is mostly the Airbus A220 (airBaltic, Swiss), which the dataset does not list as an Airbus, so the Airbus column understates it there. "Other planes" also covers Embraer, ATR and Dash 8.

All figures % of air passengers unless stated.

Boundaries: GISCO, © EuroGeographics.

Tools: Python (pandas, matplotlib) and Chromium for layout.

Teachers Using AI Say It Frees Up Time for What Matters Most

Of Note:

• Years of Life Lost: (dashed line) Calculated by taking life expectancy (13-10-0114) at a given age and multiplying by the number of deaths (13-10-0394) for that cause and age.
• Each small multiple is on a separate y scale.
• Accidents & Suicide: Dashed line sits far above solid—younger deaths cost significantly more years of potential life. Accidents seems to have gone up recently, at the same time as Intentional Self-Harm went down.
• Heart Disease: Both metrics show steady, long-term declines over two decades, in both deaths and Years of Life Lost.
• Covid Effects: Chronic Lover Raspatory Diseases saw as large drop during covid, while Chroinc Liver Diseases and Cirrhosis saw a small increase.
• Cancer: is the larges single cause of both Death and Years of Life Lost

Become a tax heaven in a tax hell continent, and you will certainly thrive.