veganism.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
Veganism Social is a welcoming space on the internet for vegans to connect and engage with the broader decentralized social media community.

Administered by:

Server stats:

202
active users

#average

1 post1 participant0 posts today

Over the 37 years I've lived in this house, the trees have outgrown the horizon. There are very few remarkable sunrises or sunsets anymore. I love my trees all the same. Last evening was different. It wasn't anything spectacular, waving its arms and screaming at me, but it was just pretty enough to make me pull the phone out of my pocket for a portrait.
#sunset #average #pnw #vaguelypretty

Important interview with #privileged #treasurysec #bessent on #BloombergTV
#federalworkforce #dogees #tusk #ukraine #zelensky

#Protip #media interviews: Never call anyone an “ #averageAmerican”. Nor their kids #average. You have no experience of life outside your bubble of #privilege. Working for the gummint was steady work with steady benefits. Your idea is to make everyone grovel.

And learn to stop smirking on camera. Save it for #SiliconValley @bloomberg

I've decided to focus on finding reserach papers which solve my ideas. I want to find a paper which averages everywhere surjective functions using an extension of the expected value w.r.t the Hausdorff measure. For more info, see this link from your desktop:
1drv.ms/w/s!Aqi8qivarhO_nEp_SZ
and this link from your smartphone:
docs.google.com/document/d/1E3
#EverywhereSurjectiveFunctions, #ExpectedValue, #Average, #ExtremelyDiscontinousFunctions, #MostGeneralizedExpectedValue
#question, #help

1drv.msMicrosoftWordVersionOfOverflowPost.docx - Microsoft Word Online

I've seen another "life expectancy (at birth) used to be so low, so we dramatically improved everything" argument. First: Yes, life expectancy by all means is going up, but not the way you might think.

The best, unbutchered source is here: ourworldindata.org/life-expect

If you want my tl;dr: [Life expectancy at birth](ourworldindata.org/grapher/lif) vs [life expectancy at 15](ourworldindata.org/grapher/lif) shows the huge gap that infant & young adolescent mortality makes in the stats. For example in 1950 the world average (at birth) is **46.5** years, whereas for those that survive to the puberty it's **62.0** years. If my math is mathing correctly that's +33%. And since the gap is closing towards the modern age, it's not unreasonable to expect that it widened towards past times.

Even [wikipedia has notes on this](en.wikipedia.org/wiki/Life_exp) for English nobles who _survived_ to the age of 21 could expect to live:

- 1200–1300: to age 64
- 1300–1400: to age 45 (because of the bubonic plague)
- 1400–1500: to age 69
- 1500–1550: to age 71

And even more interesting for Classical Greece (480 - 323 BC):

> Most Greeks and Romans died young. About half of all children died before adolescence. Those who survived to the age of 30 had a reasonable chance of reaching 50 or 60. The truly elderly, however, were rare. Because so many died in childhood, life expectancy at birth was probably between 20 and 30 years.

That's +100% gap between "life expectancy at birth" and "life expectancy at the age of 30".

So please stop saying skewed things like "you would not live up to this age in (ancient times)". Yes, you would quite likely not, but mainly because you'd die before you could do anything about it.

Our World in Data"Life Expectancy" – What does this actually mean?How is life expectancy calculated, what does it mean, and what’s the difference between period and cohort life expectancy?