| Using Statistics Responsibly |
NumbersUSA.com
is committed to accuracy and context in the use of statistics about
U.S. population growth and its causes.
In
presenting projections of where our country is headed, we have chosen
the middle-range projections of the Census Bureau. There is a tendency
for many who oppose the federally-forced population growth programs
of immigration to use higher projections from the Census and from
other sources. While a valid case can be made why some of these
higher projections might be justified, the Census middle-range projection
uses fertility, mortality and immigration numbers which are the
closest to current numbers. Therefore, this projection is the one
we most likely will experience if the current situation remains
unchanged.
We
believe that the incredible growth foretold by the Census middle-range
projection should be frightening enough for most Americans to want
to see a change in federal forced-growth programs.
We
also know that the Census middle-range projection is based on an
immigration level that is lower than the actual numbers now coming
in. Thus, the projection frighteningly shown on the charts on this
website most likely underestimate how bad the growth will be if
Congress does not reduce immigration numbers.
NumbersUSA
follows a philosophy of avoiding projections based on the lower
or higher extremes of possibility as well as extreme interpretations.
We feel the following address to the Population Association of America
advances some ideas worth keeping in mind.
GOING
TO EXTREMES
Excerpts
from Presidential Address of Andrew J. Cherlin, Dept. of Sociology,
Johns Hopkins University, presented at annual meeting of the Population
Association of America, March 26, 1999.
Demographers
study things that are close to people's lives and about which there
is great public debate, such as population growth, immigration,
adolescent pregnancy and childbearing, racial segregation, the labor
market, and gender equity.
Consequently
the public often pays attention to our findings. Most of us value
this aspect of our research. We want our findings to be widely disseminated;
we want our research to inform important public discussions.
Too
often, however, these public discussions are played out in a troubling
pattern in which one extreme position is debated in relation to
the opposite extreme. The pattern I am talking about applies broadly
to a number of social issues. It passes through three stages. In
the first stage, a social scientist presents an extreme view of
a particular problem - it is either a total disaster or completely
benign and his or her work receives great media attention. In the
next stage, another social scientist, taking a different perspective,
presents evidence for the opposite extreme. This viewpoint also
receives great attention. And in the third stage, news coverage
and public debates lurch back and forth between these extremes as
if there were no middle position worth contemplating. I believe
that this pattern of going to extremes impedes our understanding
of social problems and that it is also a poor guide to sound public
policies. One could argue that extreme statements are useful precisely
because they attract so much attention to social issues.
One
could argue that, in an era of wall-to-wall special interest groups,
extreme statements are needed to mobilize a constituency. One could
even argue that at a time when hundreds of television channels and
millions of web sites compete for people's attention, extreme statements
are necessary if one is even to be heard.
I would
argue, however, that extreme statements invite counter extremes,
with unexpected and often undesirable results. The best-known example
in population research occurred during the debates about rapid population
growth in the 1960s and 1970s. Some regard that time as the glory
period of demography, and indeed demographic research helped to
raise public awareness of a pressing global problem. But even in
that era, extreme positions sometimes backfired. I would suggest
that the exaggerated predictions made by Paul Ehrlich (1968) and
others in the 1960s, foretelling widespread famine and soaring mortality
rates, contributed to the rise of the opposite extreme in the late
1970s and 1980s: the Panglossian claims of Julian Simon (1981) and
others that population growth, far from being a problem, was a positive
element. Simon's arguments, I believe, had more force because he
could easily refute some of Ehrlich's exaggerated claims (see Tierney
1990).
One
could argue that the tendency to advance extreme arguments is built
into the scientific method, which most demographers attempt to follow.
The simplification of a complex problem is essential to a solid
scientific theory: Unless your research allows you to simplify reality
to some degree, you have not said anything of importance. Other
approaches to the social world, however, do not emphasize simplification
so strongly. Anthropologists, for example, with their grounded,
ethnographic perspective, are much more concerned with thick description
and broad understandings. In fact, this difference is a major reason
why the introduction of an anthropological perspective into demography
has been so beneficial. But I am not arguing that we should back
away from the scientific research enterprise, nor that we should
hesitate to identify important pathways when we find them. Rather,
I am suggesting that we not overstate the importance of our perspectives.
In attempting to learn the origins of complex social phenomena,
perhaps the best advice we could follow comes from Albert Einstein,
who said, "Everything should be made as simple as possible, but
not simpler" (Jones 1996).
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