3 ms·

What you're saying doesn't match the reality of what is actually shown in the graph at http://usafacts.org/metrics/12966 http://usafacts.org/metrics/12966 They

What you're saying doesn't match the reality of what is actually shown in the graph at http://usafacts.org/metrics/12966 http://usafacts.org/metrics/12966 They aren't jumps suddenly correcting a bad estimate with new data. They are gigantic 25% spikes which are then immediately undone. There is no way to explain this chart by just saying that estimates worsen over time.

logfromblammo 10y ago
Depending on the estimate, the most recent census data might not be fully incorporated into the model until several years following the census? I can't look at your link at the moment because the corporate firewall is currently blocking the domain. But there really isn't any way to get around the fact that real census data are only collected once every 10 years (and the 1890 census was burned, so that point is missing).
- BugsJustFindMe 10y ago
  When you can look at the links you'll see what I mean. To give a description of the problem in text... Both charts are labeled "Deaths", but I'm going to describe one of them for you. The time span from 1981 to 1999 goes like this: 1,968,365 - 1,998,559 - 2,033,124 - 2,068,679 - 2,091,359 - 2,105,024 - 2,163,984 - 2,161,764 - [1,637,394] - [2,656,721] - 2,180,115 - 2,226,027 - 2,282,854 - 2,284,363 - 2,317,918 - 2,321,933 - 2,330,759 - 2,359,088 - 2,386,995 And then 2000 is [2,979,442] And then 2001 is 2,430,225 And so on. Every 10 years, and also in 1989, there is a fluctuation by 500,000 deaths from the expected number given the surrounding trends. All of the numbers that are _not_ between [] above look like a smooth upward trend, yeah? So WTF is happening in the three that have [] if the data isn't bogus? I say the data must be bogus.
- EamonnMR 10y ago
  If anyone would like to know more about the 1890 census (I was intrigued) this is a good article on it: https://www.archives.gov/publications/prologue/1996/spring/1890-census-1.html https://www.archives.gov/publications/prologue/1996/spring/1...
yuliyp 10y ago
Births and deaths are derivatives. Thus a 25% spike is basically just an adjustment to reflect smaller (~2-3%) errors in the non-census years. To put numbers to this: imagine 100 people were born every year between 1991 and 2000, inclusive. The statistics only recorded 98 people being born every year, though. We then did a census, and discovered that the number of people <10 years old in 2000 was 1000 people, thus we recorded a number of births as 118 (since we thought that 882 people had been born so far in 1991-1999), and then back down to 100 in the next year.

logfromblammo 10y ago

Depending on the estimate, the most recent census data might not be fully incorporated into the model until several years following the census? I can't look at your link at the moment because the corporate firewall is currently blocking the domain. But there really isn't any way to get around the fact that real census data are only collected once every 10 years (and the 1890 census was burned, so that point is missing).

BugsJustFindMe 10y ago
When you can look at the links you'll see what I mean. To give a description of the problem in text... Both charts are labeled "Deaths", but I'm going to describe one of them for you. The time span from 1981 to 1999 goes like this: 1,968,365 - 1,998,559 - 2,033,124 - 2,068,679 - 2,091,359 - 2,105,024 - 2,163,984 - 2,161,764 - [1,637,394] - [2,656,721] - 2,180,115 - 2,226,027 - 2,282,854 - 2,284,363 - 2,317,918 - 2,321,933 - 2,330,759 - 2,359,088 - 2,386,995 And then 2000 is [2,979,442] And then 2001 is 2,430,225 And so on. Every 10 years, and also in 1989, there is a fluctuation by 500,000 deaths from the expected number given the surrounding trends. All of the numbers that are _not_ between [] above look like a smooth upward trend, yeah? So WTF is happening in the three that have [] if the data isn't bogus? I say the data must be bogus.
EamonnMR 10y ago
If anyone would like to know more about the 1890 census (I was intrigued) this is a good article on it: https://www.archives.gov/publications/prologue/1996/spring/1890-census-1.html https://www.archives.gov/publications/prologue/1996/spring/1...

yuliyp 10y ago

Births and deaths are derivatives. Thus a 25% spike is basically just an adjustment to reflect smaller (~2-3%) errors in the non-census years. To put numbers to this: imagine 100 people were born every year between 1991 and 2000, inclusive. The statistics only recorded 98 people being born every year, though. We then did a census, and discovered that the number of people <10 years old in 2000 was 1000 people, thus we recorded a number of births as 118 (since we thought that 882 people had been born so far in 1991-1999), and then back down to 100 in the next year.