We measure how the world's news covered people being harmed — and the help and hope within it.
150 of its 258 stories (58%) were about people being harmed, usually 25%. Bangkok accounted for 53 of Thailand's 150 stories about harm, carried by 229 outlets. Reports of people displaced ran at more than ten times the usual rate (25 stories). Its coverage was about one and a half times as angry as the world's.
118 of its 190 stories (62%) were about people being harmed, usually 33%. 22 of Zahedan's 41 stories were about protests or strikes. Reports of people injured ran at more than ten times the usual rate (70 stories). Its coverage was about three times as angry as the world's.
101 of its 201 stories (50%) were about people being harmed, usually 25%. Athens accounted for 43 of Greece's 101 stories about harm, carried by 203 outlets. Reports of evacuations ran at about 5 times the usual rate (24 stories).
23 of its 43 stories (53%) were about people being harmed, usually 19%. Reports of people injured ran at more than ten times the usual rate (19 stories). Its coverage was about twice as grief-stricken as the world's.
117 of its 188 stories (62%) were about people being harmed, usually 30%. Reports of people displaced ran at about 9 times the usual rate (29 stories). Its coverage was about twice as angry as the world's.
15 of its 25 stories (60%) were about people being harmed, usually 21%. Limassol accounted for 13 of Cyprus' 15 stories about harm, carried by 6 outlets. Reports of people affected ran at about twice the usual rate (5 stories).
99 of its 280 stories (35%) were about people being harmed, usually 23%. Reports of people displaced ran at about three times the usual rate (7 stories). Cyclone was named in 17 of its stories about harm, about three times usual.
464 of its 671 stories (69%) were about people being harmed, usually 61%. Hunger was named in 262 of its stories about harm, about 4 times usual. Its coverage was about twice as grief-stricken as the world's.
32 of its 88 stories (36%) were about people being harmed, usually 17%. Reports of arrests ran at about 6 times the usual rate (22 stories).
10 of its 18 stories (56%) were about people being harmed, usually 20%. Reports of people killed ran at about three times the usual rate (5 stories).
Also named far more than usual: hunger in Israel (262 of its stories, about 4 times its usual); tsunami in Indonesia (13 of its stories, about three times its usual); cyclone in Philippines (17 of its stories, about three times its usual); plane crash in UK (14 of its stories, about three times its usual); building collapse in India (17 of its stories, about 5 times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 26 Jul. 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 9,685 stories about harm among 51,168 counted on 26 Jul.
It was the third day running that the news turned to Thailand. of the day's 51,168 news stories, 19 in every 100 were about people being harmed, as usual. Reports of peace efforts, a sign of help, ran at about one and a half times the usual rate. Thailand's news was 58% about people being harmed, against a usual 25%. A year earlier, on 26 July 2024, 17 in every 100 stories were about people being harmed, against 19 today.
Written by code from the day's numbers.
Countries with at least 50 stories that day.
Stories, not people.
Each country shaded by how much of its news was about people being harmed, against the world's 19 in 100 that day. Stronger colour: further above. A country with few stories is drawn closer to the world's. Click a country.
Stories, not people. Countries with at least 50 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 much 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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