Argentina's total fertility rate dropped from 2.3 in 2014 to 1.05 today, a decline of over 50% in a decade. This decline is part of a global trend affecting 219 of 236 countries, with only Israel showing a clear positive fertility trend.
A study shows that fertility delays across generations have pushed median age at first grandmotherhood from 44 in 1960 to 57 in 2024, reducing healthy years grandmothers spend with grandchildren from 28 to 15. The delay is most pronounced among college-educated women and stems largely from reproductive control access, creating an externality where daughters' reproductive choices impose costs on their mothers' ability to provide care and financial support.
Claims of a loneliness epidemic lack solid data support, relying on flawed statistical reasoning that conflates age effects with actual trends. However, documented increases in time spent alone—particularly outside households over the past 20 years—correlate with serious health risks including depression, cardiovascular disease, and earlier mortality.
GBNames is a research project by the ESRC Consumer Data Research Centre analyzing generational residential movements and geographical patterns of surnames across Great Britain using historic censuses and consumer data, covering over 40,000 surnames representing 88% of the 2016 adult population in England, Wales, and Scotland.
According to Gallup's latest poll, 54% of U.S. adults report drinking alcohol, matching a record low for the second consecutive year. Public concern about drinking's health effects has risen, with 51% now believing moderate daily alcohol consumption is harmful, and awareness of health studies on drinking has increased to 86%. Self-reported overdrinking has also hit a record low at 13%, while 17% of Americans report using nonalcoholic alternatives to alcohol.
The author argues that fertility decline since 2010 is driven by smartphones as entertainment centers, continuing a 200-year trend where increasingly fun technologies (urbanization, movies, radio, television) have made family life less attractive by comparison. Rather than family life becoming less enjoyable, alternative entertainment options have raised the opportunity cost of having children.
The returning soldier effect is a demographic phenomenon where male births increase relative to female births following periods of war, first identified in 1883 by Carl Düsing. Multiple theories explain the effect, including soldier health differences, genetic factors related to height, hormonal changes in women, and increased coital rates, though modern prenatal sex determination and sex-selective abortion have obscured the original pattern in recent decades.
In 2024, 50 million foreign-born people lived in the US, an all-time high in absolute numbers since 1850. However, immigrants comprised roughly 15% of the population, similar to late 1800s levels. Current immigration levels are unprecedented by raw count but comparable to historical shares when accounting for overall US population growth.
As of 2026, approximately 2.4 billion people (29% of humanity) actively use generative AI, with ChatGPT, Meta AI, and Gemini each boasting hundreds of millions of users. However, only about 80 million people pay for AI subscriptions, and just 25-35 million regularly use AI coding agents. Usage varies dramatically by country and age, with younger and wealthier populations adopting AI at much higher rates.
Fujifilm has surged to become a top-three digital camera maker, driven significantly by strong appeal to women and younger photographers. Over 70% of X Series users are age 30 or younger, with women comprising 40% of that user base, reflecting the effectiveness of Fujifilm's experiential marketing events and focus on discerning, digitally literate audiences. The company's annual camera shipments have nearly tripled from 2023 to 2025, with X Series production doubling year-over-year.
A Pew Research Center survey across 37 countries finds that majorities in 34 nations believe AI will reduce jobs rather than create them, with concerns especially high in wealthy countries like the U.S., Australia, and South Korea. Young adults, women, and highly educated respondents express greater concern about job losses, while many people remain uncertain about AI's economic impact. Additionally, people are more likely to expect AI will increase wealth inequality between rich and poor.