Filmmaker David Lynch was a big fan of the film school, and while he did not attend the University of Minnesota, he has been credited for the introduction of screenwriting, as well as directing the film adaptation of Mulholland Drive.
It is difficult to know what the future holds. Perhaps Lynch will use his experience with film to help shape his next work, possibly with an adaptation of an iconic book such as “The Princess Bride” that has recently inspired an animated film. If he chooses to direct, however, one thing is certain: he will be one of the preeminent directors in the field.
Lynch’s own words, while still somewhat limited, imply that he has a degree in film making “from which he [has] learned to use all aspects of the medium to create stories of the highest quality,” including “making films, editing films, directing films, developing original pieces of animation of the highest quality, creating short films and editing short films.”
This is the second and last of the three posts in the series. I first took a glance at the various data available in the Census Bureau’s American Community Survey (ACS). A more recent ACS data download, created in August 2007, provided a much larger set of data. This post covers that data, focusing on poverty, housing availability and the role of housing subsidies and other housing programs, including HUD’s rental assistance programs and Section 8 programs for homeless households.
Before getting into the main points, it’s worth noting that poverty levels have been stable nationally since 1989, but the number of homeless has declined nationally and has remained pretty consistent across states, races and counties.
What makes poverty different from other population measures? As noted earlier, poverty can be determined by household size, but most people aren’t in a household for very long. As a result, it’s impossible to estimate poverty for those living in homes with one-year-old children and not expect them to be living in poverty. Thus, the Census Bureau doesn’t have a representative sample of households on the streets. The ACS data can therefore serve as a great first approximation of living standards for many households (although it’s not an exact one), although it can’t represent everyone.
For one thing, the ACS doesn’t measure the same things we do using household income and the Census Bureau has more sophisticated measures of income like adjusted income, and it’s possible that the ACS doesn’t measure the same things as we do on that line. For a
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