We measure how the world's news covered people being harmed — and the help and hope within it.
42 of its 47 stories (89%) were about people being harmed, usually 31%. Conakry accounted for 39 of Guinea's 42 stories about harm, carried by 56 outlets. Reports of people injured ran at about 4 times the usual rate (35 stories). Landslides were named in 33 of its stories about harm, about three times usual. Its coverage was about twice as grief-stricken as the world's.
33 of its 50 stories (66%) were about people being harmed, usually 34%. Jonglei accounted for 17 of South Sudan's 33 stories about harm, carried by 23 outlets. Reports of people injured ran at about 6 times the usual rate (23 stories). Its coverage was about one and a half times as warm as the world's.
42 of its 75 stories (56%) were about people being harmed, usually 47%. 9 of Havana's 14 stories were about protests or strikes.
Dhaka accounted for 40 of Bangladesh's 69 stories about harm, carried by 32 outlets. Its coverage was about one and a half times as grief-stricken as the world's. Fear in its coverage rose to about one and a half times its own usual.
86 of its 200 stories (43%) were about people being harmed, usually 35%. Reports of arrests ran at about twice the usual rate (14 stories). Wildfires were named in 18 of its stories about harm, about three times usual.
258 of its 483 stories (53%) were about people being harmed, usually 48%. Reports of refugees ran at about 7 times the usual rate (19 stories). Its coverage was about twice as angry as the world's.
Kyiv accounted for 92 of Ukraine's 137 stories about harm, carried by 355 outlets. Tsunami was named in 12 of its stories about harm, more than ten times usual. Its coverage was about twice as angry as the world's. Warmth in its coverage rose to about one and a half times its own usual.
16 of its 23 stories (70%) were about people being harmed, usually 22%. Ulaanbaatar accounted for 13 of Mongolia's 16 stories about harm, carried by 22 outlets.
21 of its 32 stories (66%) were about people being harmed, usually 41%. Reports of people injured ran at about 4 times the usual rate (13 stories).
10 of its 15 stories (67%) were about people being harmed, usually 37%. Reports of people affected ran at about 4 times the usual rate (6 stories).
Also named far more than usual: typhoon in Taiwan (16 of its stories, about 4 times its usual); wildfires in Indonesia (18 of its stories, about three times its usual); flooding in Ireland (14 of its stories, about 7 times its usual); heavy rain in New Zealand (10 of its stories, about 4 times its usual); tsunami in Ukraine (12 of its stories, more than ten times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 24 Aug. The big dot is this day; the shaded band is a normal day (the 30 days before it). Click a day to open it. Based on 11,347 stories about harm among 60,497 counted on 24 Aug.
In Guinea, 89% of the news was about people being harmed, where 31% is usual. Stories about people being harmed made up 19 in every 100 of the day's 60,497 stories, as usual. It was the second day running that the news turned to Guinea. On 24 August 2025, a year earlier, the share was 19 in every 100, the same as today.
Written by code from the day's numbers.
Countries with at least 50 stories that day.
Stories, not people.
The day's biggest events: attacks, accidents and disasters, people displaced, protests, outbreaks. Bigger dot: more stories. Ranked by the share of the day's outlets that reported it and how clearly it was about one thing, the same way for every place and year; the news data does not say who attacked whom, so both sides of a war appear where the news put them. Click a dot for its stories.
Of the stories about people being harmed, what part of life each was about. The mark is usual.
Stories that report it, not people: we count what reporters wrote, not what happened.
The words in the day's stories were harsher than usual. Filled dot: today. Ring: usual.
From the words reporters used across the whole day, never one story. Fear is the weakest of the four measures. How?
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