{"locations":[{"code":"FRA","name":"France","page":"https://macroscope.is/en/country/france/"}],"indicators":[{"id":"dsa_snap_recipients","title":"Snapchat: monthly recipients, H1 2026","unit":"million monthly recipients"}],"from_year":1950,"to_year":2100,"sections":[{"id":"dyn","title":"How the indicators changed","items":[{"kind":"dynamics","indicators":["dsa_snap_recipients"],"text":"Snapchat: monthly recipients, H1 2026: 28.82 million monthly recipients in 2026; no earlier data in this period.","data":{"indicator":"dsa_snap_recipients","from":2026,"to":2026,"first":28.8247,"last":28.8247}}]}],"caveat":"Moving together in time does not prove a cause: incomes, cities, education and the era itself act on many indicators at once. These observations suggest where to look, not what causes what.","view_url":"https://macroscope.is/en/chart/?c=FRA&i=dsa_snap_recipients&from=1950&to=2100&past=1","how_to_read":"text: a ready sentence with numbers; data: the same numbers for calculations. The first indicator is the focus the others are compared with. Relationships are checked in levels (r) and in year-to-year changes (r_changes: the changes have their own linear trend removed; significance corrected for autocorrelation); lag is the shift at which changes line up best. UN errors: actual / projected − 1 for population, births and fertility, actual − projected for migration, life expectancy and mothers' age; IMF: actual − forecast. view_url opens the same view on the site."}