Stephen Morgan wrote:Of course I'm pro-life, but that's hardly relevant.
No. It's relevant — as ideologies always are.
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Stephen Morgan wrote:Of course I'm pro-life, but that's hardly relevant.
Stephen Morgan wrote:wintler2 wrote:.. maybe you're prolife?
Of course I'm pro-life, but that's hardly relevant.
Stephen Morgan wrote: Now, take your anti-human agenda and shove it up your pim-hole.
Stephen Morgan wrote:Technically it's the silt itself which acts as a kind of marine fertiliser.
Stephen Morgan wrote:trees are not buildings "shaped entirely by mans efforts",
Not all of them, of course. I'm talking specifically about those which are, in the traditions of pollarding and coppicing, and the tradition of shaping wood (for example the now defunct continental practice of bracing trees to produce L shaped bits of wood as the corners of ships).
brekin wrote:This cries out for a picture. Does anyone have one of the above?
Wombaticus Rex wrote:The state I live in has a truly amazing underpopulation problem.
JackRiddler wrote:Wombaticus Rex wrote:The state I live in has a truly amazing underpopulation problem.
Really. I often daydream about moving there. What self-respecting leftist intellectual with an appreciation for small mountains and fall colors does not?
“Work doesn’t pay”
For Paul Dragon, Reach Up director, the reason the poor don’t get off welfare is because if they work, they suffer economically.
“Work doesn’t pay,” he says. “People are working hard, trying to do the best they can. Vermont has decent benefits and a high cost of living. When someone goes off benefits and starts climbing up a bit, work doesn’t pay at $15 or $16 an hour.”
A 2008 study commissioned by the Department of Children and Families (DCF) concluded that unless a Reach Up recipient in the Northeast Kingdom earns at least $17 an hour or $35,726 a year, benefits must continue.
If a single mother of two starts working a 20-hour-a-week job at a minimum wage, she still receives more than $20,000 a year in benefits, plus some help with child care. When she works 40 hours, she still receives $1,900 a month in benefits, plus child-care assistance. In both scenarios, she pays no income taxes.
“As family income rises from approximately 100 to 200 percent of the federal poverty level, significant losses across multiple benefits — combined with increases in payroll and income taxes — actually exceed the parent’s substantial gains in earnings,” was the finding of the 2008 analysis prepared for DCF by Columbia University’s public health researchers.
When her children start school, reducing child care expenses, “The family’s net resources hover around the break-even point. There are no significant changes in the family’s financial situation until annual earnings reach about $31,000,” the analysts conclude, “At this point, the loss of fuel assistance and child care assistance trigger a decline in net resources that leaves the family unable to make ends meet.” In other words, work doesn’t pay. For single mothers, it is better economically to remain dependent on state aid.
Wombaticus Rex wrote:Scale that up to a growing population and let me know which is a bigger problem: over- or under- population. See? I can keep it on topic. I swear.
The global Muslim population will grow twice as fast as the non-Muslim population over the next 20 years, according to a report from the Pew Research Center and the John Templeton Foundation published on Thursday. During the same time period, the American Muslim population will more than double. How do demographers come up with these numbers?
Using the "cohort-component" method. In almost every serious population forecast, demographers first slice a given population into tranches, such as women ages 20 to 24 and men ages 65 to 69. Then they issue separate forecasts for each, typically using just three variables: fertility rate (how many children women have), mortality rate (what proportion of the population dies per year), and migration. Usually, demographers will calculate a range of scenarios for each variable—for instance, the highest and lowest plausible fertility rates over the next, say, 20 years. Finally, they synthesize the sub-forecasts into a range of likely trends, which they often present as "high," "medium," and "low" estimates.
Population forecasts are generally quite accurate. Country-level forecasts, such as those made by the United Nations and the World Bank, miss the mark by about 6 percent on average. (The U.N. has been projecting population growth at a global and regional level since the 1950s, and for most individual countries since shortly thereafter.) There's been remarkably little change in most demographers' techniques over the past century, so accuracy is mostly a function of how good (and how current) the underlying fertility, mortality, and migration data are. A study from 1983 found that while neither U.N. predictions for developed countries nor the Census Bureau's predictions for the U.S. population had improved, those in developing countries had become more accurate—likely because of more-detailed recordkeeping. A 2001 study found little change in the U.N.'s overall forecasting accuracy since 1950s; if anything, accuracy peaked in the 1970s and late 1980s. (In general, the most difficult continent to make predictions for has been Africa, while Europe has been the easiest.)
Population forecasting has been caught off-guard by a few big trends. The baby boom made demographers' population projections look foolishly low in the wake of World War II. Then, they predicted the boom would last longer than it did; the so-called "baby bust" made forecasts from the mid-1950s look much too high. Demographers also didn't anticipate how severely the spread of HIV through the developing world would increase mortality rates.
It's hard to say whether the Pew and Templeton forecast of the Muslim population will bear out, but the forecast does have a few things going for it, including the fact that fertility, mortality, and migration rates in the U.S. have been well-studied. The Muslim fertility rate is fairly low and has not been very volatile, another factor that should improve accuracy. On the other hand, as the population in question gets smaller—from global to regional to national to religious sub-samples—accuracy tends to decrease. And while the U.S. has a long history of population-counting, our census doesn't ask about religion. (South Africa's census, on the other hand distinguishes among more than 60 faiths.) Instead, the American projections are based on private surveys that institutions like Pew regularly undertake.
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