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This is a list of lists of deaths of notable people, organized by year. New deaths articles are added to their respective month (e.g., Deaths in March 2025 ) and then linked below. 2025
Crude mortality rate refers to the number of deaths over a given period divided by the person-years lived by the population over that period. It is usually expressed in units of deaths per 1,000 individuals per year. The list is based on CIA World Factbook 2023 estimates, unless indicated otherwise.
Some media outlets and websites misrepresented the intent of life2vec by calling it a death clock calculator, [6] leading to confusion and speculation about the capabilities of the algorithm. [7] This misinterpretation has also led to fraudulent calculators pretending to use AI-based predictions, often promoted by scammers to deceive users.
Ynetnews is the English language website associated with Yedioth Ahronoth, and the Hebrew Ynet. Ynetnews was established in February 2005 in Tel Aviv , with a staff of nine people. According to Gadi Taub of Hebrew University of Jerusalem , the launch of Ynetnews was a major event in English-language media in Israel.
The following list sorts sovereign states and dependent territories and by the total number of deaths. Figures are from the 2024 revision of the United Nations World Population Prospects report, for the calendar year 2023.
{{Deaths by month and year | state = collapsed}} will show the template collapsed, i.e. hidden apart from its title bar. {{ Deaths by month and year | state = autocollapse }} will show the template autocollapsed, i.e. if there is another collapsible item on the page (a navbox, sidebar , or table with the collapsible attribute ), it is hidden ...
It can be transcluded on pages by placing {{2020s deaths by month and year}} below the standard article appendices. Initial visibility This template's initial visibility currently defaults to autocollapse , meaning that if there is another collapsible item on the page (a navbox, sidebar , or table with the collapsible attribute ), it is hidden ...
In 1996, Elton, Gruber, and Blake showed that survivorship bias is larger in the small-fund sector than in large mutual funds (presumably because small funds have a high probability of folding). [8] They estimate the size of the bias across the U.S. mutual fund industry as 0.9% per annum, where the bias is defined and measured as: