Philip Morris
Science, Economics, and Environmental Policy: A Critical Examination
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SCIENCE, ECONOMICS & ENVIRONMENTAL POLICY
an internal EPA categorization, it would not
be excessively controversial. However, much
more is riding on this classification than mere
bookkeeping entries. Declaring ETS to be a
Group A carcinogen has set in motion a chain
of policy events which must ultimately result
in widespread federal bans on smoking. To
quote the EPA's expressed reasoning in full:
The conclusive evidenceof the dose-related
lung carcinogenicity of MS [mainstream
smoke] in active smokers, coupled with
information on the chemical similaritiesof
MS and ETS and evidence of ETS uptake
in nonsmokers, is sufficient by itself to
establishETS as a known human lung carci-
nogen, or "Group A" carcinogen under U.S.
EPA's carcinogen classification system.'a
Similarly simplistic reasoning has
allowed the EPA to publicly fret over almost
every suggested cancer risk, from electro-
magnetic radiation to artificial sweeteners.ls
When its review discovered that existing
U. S. studies of lung cancer and ETS did
not support its position, the EPA
arbitrarily reduced the traditional standard
of proof, or "confidence intervaL "
Despite the EPA's conclusion that ETS
is a Group A carcinogen, it is at the very least
arguable that ETS would flunk each separate
step of the three-prong test. And it is the
EPA's effort to cross the final hurdle that has
produced the harshest criticism. When its review
discovered that existing U.S. studies of lung
cancer and ETS did not support its position,
the EPA arbitrarily reduced the traditional
standard of proo~ or "confidence interval " Only
by this manipulation could the EPA claim that
its analysis was statistically significant.
Why is the concept of statistical
significance so important to epidemiological
studies? As valuable as these studies can be,
there are well-recognized limitations. For
instance, no matter how well designed,
epidemiological studies can only show
correlation, not causation. Only after many
studies have found strong correlations covering
large populations (as is the case with active
smoking and lung cancer) are researchers on
firmer ground in asserting direct causation.
(Yet even then they may not know the precise
mechanism.) Most individual studies, which
are expensive and time-consuming, involve only
a small number of individuals (or sample size).
This reduces the confidence that researchers
place in how well the sample population reflects
the characteristics of the general population.
Epidemiologic studies can test the
specific hypothesis, for example, whether ETS
is a risk factor for lung cancer. While even well
designed studies cannot prove beyond any doubt
that a particular substance is the cause of
cancer, they can indicate that a particular
substance is a potential risk factor. In this case,
the EPA assumed -- before it even began its
investigation -- that ETS is a risk factor for lung
cancer; the very question supposedly being
asked. However, the fact that most studies of
ETS and lung cancer do not support this
assumption is not entirely ignored by EPA,
which may suggest that the EPA adopted
unique manipulations of the data.
Furthermore, the EPA does not utilize
the appropriate "two-tailed" analysis of whether
ETS causes lung cancer. In a two-tailed test,
a specific assumption is made, for example, that
ETS has an effect on human health. (The two
"tails" refer to the fact that the hypothesized
effect may be harmful or beneficial: the
evidence may point in either direction.) In
addition, if ETS were found to have no
measurable effect either way, that would be
called the "null hypothesis."
In its examination of ETS, however, the
EPA utilizes a "one-tailed" test. That is, the
EPA makes the assumption that ETS cannot
stimulate the human immune response and
thereby produce lower rates of lung cancer than
would exist in the absence of exposure.
However, several American studies examined
by the EPA leave open this very point. Indeed,
of the 30 studies considered for inclusion in the
EPA report, "six found a statistically significant
(but small) effect, 24 found no statistically
significant effect, and six of the 24 found a
passive smoking effect opposite to the expected
relationship.n16
Worse perhaps, the EPA goes further
and rejects the possibility of any null hypothesis:
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that ETS has no effect on health. Thus, EPA
refuses to accept any result which would refute
its preexisting assumption: that ETS causes lung
cancer in nonsmokers. Whatever one may think
of this as a policy outcome, this is not valid
science.
Ordinarily, researchers utilize a standard
mathematical procedure to determine the range
of possibilities within which random error is
extremely unlikely. By scientific convention,
over decades of trial and error and careful
review, studies must produce results which have
no more than a 5 percent chance of being the
result of the natural randomness of the studied
population. This is normally referred to as a
"95 percent confidence interval." In other
words, a 95 percent confidence interval means
that there is a 95 percent possibility that the
result did not happen from chance, or a 5
percent possibility that it did.
However, the EPA rejected this as the
test for its survey of the literature on ETS and
lung cancer. Because the purported relative risk
for ETS was so close to perfectly random, the
combined results of the studies examined by the
EPA could not pass the 95 percent confidence
interval test. In the scientific jargon, the results
were not "statistically significant." It is at this
point that EPA broke with the established
procedure in such matters and declared that a
90 percent confidence interval would be used
for this report's findings, thereby doubling the
chance of being wrong. As a result, EPA could
declare that its findings were "statistically
significant" but only if one applies the less
rigorous standard. Applying the standard test
(a 95 percent confidence interval) would show
that lung cancer rates for people exposed to
ETS are indistinguishable from the lung cancer
rates of unexposed populations.
This is no mere academic debate, for
there are numerous potential risk factors for
lung cancer involving everything from diet to
genetics to smoking tobacco. If the EPA's
chosen procedures cannot distinguish among
the possible risk factors, the report cannot
provide useful or reliable guidance to policy
makers.
Perhaps the strongest criticism of this
and other points in the EPA report has come
from Gary L. Huber and his co-authors:l'
EPA's risk assessment is built on the
manipulation of data, ignores critical
ENVIRONMENTAL TOBACCO SMOKE
chemical analyses and key epidemiological
data, violates time-honored statistical
principles, fails to control adequately for
important confounding influences (factors
other than the one studied that may affect
the result or a conclusion) that provide
alternative explanationsfor its conclusions,
and violates its own guidelines for assessing
and establishingrisk to a potential environ-
mental toxin.la
One of the particular points of
disagreement between Huber, et al., and the
EPA report arises from a major study of ETS
and lung cancer in U.S. female nonsmokers by
researchers at the National Cancer Institute (see
Figure 1-2).19 Although the EPA did not
include this study's findings in its report's
calculations, it did quote from the report in an
effort to demonstrate general consistency. The
exact quotation selected by the EPA is that
"long-term exposure to [ETS] increases the risk
of lung cancer in women who have never
smoked.n20 Huber, et al., quote a different,
yet equally revealing passage. Stockwell and
his co-authors report that "we found no
statistically significant increase in risk associated
with exposure to environmental tobacco smoke
at work or during social activities.n21 (emphasis
added) This is an important point because EPA
suggests that workplace regulations are
legitimized by studies of the wives of smokers.
In a recent report for Congress from
the Congressional Research Service', another
major study is cited which is not included in the
EPA report' This study, which covered a
larger population sample than the Stockwell
study, "found no overall increased risk of lung
cancer among nonsmoking spouses of
smokers "24 Furthermore, ifstandard statistical
procedures were applied to the Stockwell study,
it too would fail to support EPA's final results.
Bear in mind that Huber and his co-
authors do not assert that ETS does not or
cannot cause lung cancer in nonsmokers. They
"ETS is a risk that is less than that
associated with developing colon cancer
by drinking chlorinated water, which is in
most U.S. cities' water supplies."
5

SCIENCE, ECONOMICS & ENVIRONMENTAL POLICY
simply point out that, under well-established
scientific standards, the question of ETS and
lung cancer has not been answered. They
further call attention to the fact that even if one
uncritically accepts EPA's conclusions, the
resulting increase in risk from ETS is
approximately the same as the lifetime risk of
being killed on a bicycle.u Perhaps more
compelling is this statement: "It is a risk that
is less than that associated with developing
colon cancer by drinking chlorinated water,
which is in most U.S. cities' water supplies."'
Chlorination of drinking water supplies has
been one of the most important weapons in the
battle against water-borne diseases, such as
cholera. Were the EPA to apply a non-
threshold standard to chlorination of drinking
water, America might see an enormous increase
in water borne diseases.
Because the relative increase in the risk
of contracting lung cancer found by the EPA
is so slight (even after carefully tweaking the
confidence interval), any number of non-ETS
risk factors could be the actual cause. For
example, EPA apparently failed to adjust its
results for the age of the study participants 27
As people grow older, they become more likely
to develop cancer, including lung cancers. Poor
dietary habits can contribute to the development
of cancer, and these traits may be shared by
spouses to some degree. The EPA did adjust
its results to reflect the likelihood that people
who are counted as nonsmokers are
misclassified because of the way the question
was posed or simply because they lied on their
questionnaire. However, the EPA did not
accept the degree of smoker misclassification
that has been suggested by some who have
researched this particular question?'
One further point: the EPA Report
focuses on lung cancer and ETS in the home,
since it relied upon studies of the nonsmoking
spouses of smokers. Yet it is being used to
draw conclusions about workplace exposure and
lung cancer risks. But workplace studies of ETS
do not support the EPA's conclusions. In the
final analysis, therefore, the EPA report is an
inadequate basis for a federal ban on workplace
smoking.29
EPA and the Economics of ETS
To its credit, the EPA admits to the
appropriateness of "biological plausibility" in
ETS risk analysis. That is, if no known
chemical or biological reaction could explain
the observed health problem, it will not be
blamed automatically on ETS exposure. This
is an appropriately cautious, if somewhat
insufficient, filter for theories of harm from
environmental exposures of all types.
Unfortunately, the EPA is not similarly
cautious with its economic analysis. In an
analysis of the Smoke-Free Environment Act
of 1993, EPA produced exaggerated estimates
of potential economic benefits 30 The bill
under consideration "would effectively ban or
restrict smoking in most [nonresidential] indoor
environments "31 EPA's analysis found that
this, or similar, legislation "could achieve net
benefits (i.e., benefits minus costs) ranging from
$39 billion to $72 billion per year."32 These
figures were widely reported in the press 33
The EPA's economic calculations are no
more rigorous than its risk assessments.
Indeed, the claimed economic benefits
of smoking bans are perhaps the primary
impetus for several current legislative
proposals.' If this study is any indication, the
EPA's economic calculations are no more
rigorous than its risk assessments.35
How did EPA generate such impressive
economic benefits? Most of the calculated costs
and benefits were relatively minor, particularly
when one considers how many establishments
would be covered under the bill. However, $33
billion to $60 billion of the EPA's "net benefits"
are derived from a single category: surveys of
how much people would be willing to pay to
avoid a premature death due to ETS exposure.
This controversial technique is being used to
a growing degree in many environmental fields.
In this case, the EPA found that individuals
were "willing to pay" an average of $4.8 million
each to avoid a premature death from ETS
exposure. It is economically impossible -- not
just "difficult" or "unlikely" -- for many
individuals to spend the $4.8 million, so it
matters little how much they say they would be
"willing" to spend. In addition, insurance is
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available for both cancer and for other
catastrophic illnesses, yet the premiums are but
a fraction of the EPA's survey results.
In addition, it estimated the net benefits
of reduced illnesses by using another
willingness-to-pay survey. The assumption this
time was that individuals would be willing to
pay $1.5 million per avoided illness. Therefore,
the cumulative net health benefits to society of
a smoking ban would range, according to EPA's
figures, from $35 billion to $66 billion annually.
EPA administrator Carol Browner has
carried these highly questionable assertions to
a higher level. In her testimony on the Smoke-
Free Environment Act before a U.S. House of
Representatives subcommittee she stated that
"If one considered the economic value that
people assign to reduced risk of death, our
estimate would be on the order of $157 billion
to $470 billion per year.'
The EPA's use and publicizing of
"willingness-to-pay" surveys in this instance
violates any sound "economic plausibility" test.
And it is only through the use of these flawed
techniques that the EPA is able to assert tens
of billions of dollars in theoretical economic
benefits from a smoking ban. If the EPA were
limited to more realistic economic measure-
ments, the cost-benefit analysis of public
smoking bans would produce much smaller
figures, thereby reducing support for federal
action.
If the EPA were limited to more realistic
economic measurements, the cost-benefit
analysis of public smoking bans would
produce much smaller figures, thereby
reducing support for federal action.
The EPA and its private sector
contractors find willingness-to-pay surveys to
be of great value. For example, the Exxon
Valdez oil spill in Prince William Sound, Alaska
encouraged economic researchers to survey the
general public at the height of outrage over the
accident. One estimate of the "value" of the
waterway (in pristine condition) ranged from
$5 to $10 billion.37 Yet if the same survey
were conducted on each mile of U.S. coastline
ENVIRONMENTAL TOBACCO SMOKE
in turn, the "values" derived would reach
astronomical figures. This is because of the
simple fact that, if you aren't required to
actually spend the money, there is no theoretical
limit to your economic behavior.'
The remainder of EPA's estimated "net
benefits" are derived from calculated savings
from reduced maintenance and cleanup costs
minus the added costs of creating smoking
lounges and enforcement. It seems almost petty
to criticize these comparatively minor points,
but even here EPA can be accused of
exaggeration. For example, the EPA estimated
potential total savings through reduced
housekeeping and maintenance costs to range
from $5 billion to $10 billion per year 39 One
indoor air expert testified before Congress in
March, 1994 and stated that "savings of this
magnitude in housekeeping and maintenance
costs are more figments of the imagination than
hard data.n40
EPA's cost-benefit analysis is "funda-
mentally flawed."
Economist Robert Tollison, former
director of the Bureau of Economics at the
Federal Trade Commission, has analyzed the
EPA's cost-benefit analysis and found it to be
"fundamentally flawed."al According to
Tollison, EPA's "cost-benefit analysis involves
the kind of numbers game for which govern-
ment agencies have been justly criticized.n42
In so doing, Tollison raises the specter that
EPA has seemingly fitted economic analysis to
the policy conclusions it desired.
Tollison found telling weaknesses within
the EPA cost-benefit analysis. For example,
EPA assumes in its cost-benefit analysis that
eliminating exposure to ETS in workplaces and
in public places would significantly reduce the
incidence of heart disease. Incredibly, savings
attributable to the EPA's hypothesized decrease t~:
in the incidence of heart disease among
nonsmokers account for the overwhelming
majority of all dollar benefits estimated by the
EPA to be associated with national smoking
restrictions, according to Tollison. Yet, the
EPA's well-publicized risk assessment was
7

SCIENCE, ECONOMICS & ENVIRONMENTAL POLICY
primarily concerned with alleged lung and
respiratory complications from ETS - not heart
disease. In fact, the EPA never developed a
risk assessment between ETS and heart disease
undoubtedly believing that the evidence for such
risks were weak. Instead, it merely assumed
that such causation exists even though the EPA
nor any other government agency has concluded
that ETS is a cause of heart disease.
This paper does not take the stance that
net economic benefits from a smoking ban are
impossible, but simply that the EPA has
exaggerated its economic estimates. The fact
that it consistently does so, coupled with its
careful manipulation of the science, reveals that
the EPA is not providing the American public
and policy makers with impartial data.
Conclusions
Exposure to ETS is not a uniform risk,
if it is a risk at all. Even the EPA Report
admits there is a strong dose-related health
response for active smokers. It is logical that
there would be a dose-related response for ETS,
as there is with every other potential risk factor
confronting humanity.
In any event, indoor air problems are
not limited to tobacco smoke. The best method
for dealing with all potential indoor air
problems simultaneously is to provide adequate
ventilation. This would insure that exposure
levels (to whatever substance from whatever
source) were kept well below potentially
harmful levels.
Skeptics should consider that whenever
a tobacco firm makes a statement in regard to
smoking and health, it is generally discounted
by its critics because of the "special interest" it
holds in the issue. This is no less applicable to
the "special interests" of the EPA. The
bureaucracies of the federal government are
strongly interested in justifying budget increases
and increasing the scope and importance of
their assigned responsibilities. Yet that does
not excuse disregard for the scientific method
or sound economic analysis. EPA personnel
have a duty to conduct the best science possible
and report the results fully and honestly.
The EPA is attempting to prove that
serious medical risks are created by even
casual exposure to secondhand smoke.
In its effort to do so, the EPA has
manipulated selected portions of the
existing literature until it produced the
desired result.
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If the EPA were merely attempting to
prove that secondhand smoke is an annoyance
to many people, it would be on solid ground.
However, the EPA is attempting to prove that
serious medical risks are created by even casual
exposure to secondhand smoke. In its effort
to do so, the EPA has manipulated selected
portions of the existing literature until it
produced the desired result. However pure the
motivations of EPA personnel in this matter,
it is unacceptable to distort the science for the
sake of a policy goal.
While Congress may eventually decide
to ban smoking in public buildings it cannot do
so under the pretense of sound science or
economics.
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Figure 1-1
Percentage of Adult Cigarette Smokers
1949
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1970
1980
1990
Source: Gallup Poll, National Clearinghouse for Smoking and Health, National Health
Interview Survey of Cancer Epidemiology and Control.
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Odds Ratio for Lung Cancer (all types)
in the 432 Non-Smoking Women from Missouri
«0
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5.7 2.1
Year
Source: The National Cancer Institute
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1. W. Kip Viscusi, Smoking: Making The Risky Decision, (New York: Oxford University Press, 1992),
p.1.
2. U.S. EPA, Office of Health and Environmental Assessment, Office of Research and Development
"Respiratory Health Effects of Passive Smoking: Lung Cancer and Other Disorders" Washington, D.C.,
December 1992. Hereinafter cited as "U.S. EPA, Report."
3. U.S. EPA, Indoor Air Division 6607J, Office of Radiation and Indoor Air,'"The Costs and Benefits
of
Smoking Restrictions: An Assessment of the Smoke-Free Environment Act of 1993 (H.R. 3434),
Washington, D.C., April 1994. Hereinafter cited as "U.S. EPA, Costs and Benefits."
4. Carol M. Browner, Letter to the Editor, Washington Post (May 6, 1994).
5. U.S. EPA, Report, at page 1-1.
6. See, for example, Elizabeth M. Whelan, Toxic Terror: The Truth Behind the Cancer Scares,
Prometheus Books, Buffalo, NY, 1993.
7. U.S. EPA, Report, at page 5-1.
8. Gary L. Huber, Robert E. Brockie, and Vijay K. Mahajan, "Smoke and Mirrors: The EPA's Flawed
Study of Environmental Tobacco Smoke and Lung Cancer" Regulation (No. 3, 1993), p. 46.
9. U.S. EPA, Report, at page 4-1.
10. See, for example, Michael Gough, "Reevaluating the Risks From Dioxin," Journal of Regulation and
Social Costs, January, 1991, pages 5-23; Bruce N. Ames and Lois S. Gold, "Chemical Carcinogenesis:
Too
Many Rodent Carcinogens," Proceeding_s of the National Acade My of Science, 87: 7772-76, 1990.
11. Lois S. Gold, et al., "Rodent Carcinogens: Setting Priorities," 258 Science 261, October 9,
1992.
12. U.S. EPA, Report, at page 4-28.
13. See, for example, Michael Fumento, "Is EPA Blowing Its Own Smoke?" Investor's Business Daily,
January 28, 1993, page A 1.
14. U.S. EPA, Report, at page 1-2, 1-3.
15. For a general discussion, see Michael Fumento, Science Under Siege, (William Morrow and Company,
Inc., New York: 1993)
16. Jane G. Gravelle and Dennis Zimmerman, Congressional Research Service, Library of Congress,
"Cigarette Taxes to Fund Health Care Reform: An Economic Analysis" March 8, 1994, at pages CRS-46,
47. Hereinafter cited as "Gravelle."
17. See, for example, Gary L. Huber, et al., "Smoke and Mirrors" supra, note 8.
18. Ibid., at page 45.
19. H.G. Stockwell, et al., "Environmental tobacco smoke and lung cancer risk in nonsmoking women"
Journal of the National Cancer Institute, September 16, 1992, Vol. 84:1417-1422.
20. U.S. EPA Report, Addendum, at page ADD-1.
21. Huber, et al., "Smoke and Mirrors," at page 51.
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SCIENCE, ECONOMICS & ENVIRONMENTAL POLICY
22. Gravelle, supra note 16.
23. Ross C. Brownson, et al., "Passive Smoking and Lung Cancer in Women," American Journal of Public
Health, November 1992, vol. 82, pp. 1525-1529.
24. Gravelle, at page CRS-48.
25. Huber, et al., at page 53.
26. Ibid.
27. Ibid., at page 54.
28. U.S. EPA Report, at Appendix B.
29. A major component of the indictment against ETS is the impact -- real and potential -- on
children.
Yet children would be one of the least benefited classes under H.R. 3434 (legislation prohibiting
smoking
in most public places). Most childhood exposure to ETS occurs in the home, which remains
unregulated.
The scientific literature on ETS does provide some indication that ETS is a risk factor for certain
respiratory problems in infants and children under 18 months of age. This is an important issue, but
it is
one that must be dealt with in the home and in daycare facilities.
30. U.S. EPA, "Costs and Benefits," supra, note 3.
31. Ibid., at page ES-l.
32. Ibid., at page ES-2.
33. See, for example, John Schwartz, "EPA Estimates Smoking Ban Could Save Up to $72 Billion"
Washington Post, Apri122, 1994.
34. See, for example, Gravelle, supra, note 16.
35. And, it would appear, the EPA is not unique in this regard. The Centers for Disease Control
recently announced, at a widely covered press conference, the results of a study estimating the
societal
costs of smoking. However, the actual report was not distributed, making it impossible to assess the
accuracy of CDC's results.
36. Carol M. Browner, Administrator of the U.S. Environmental Protection Agency, in testimony before
the subcommittee on Health and the Environment, Committee on Energy and Commerce, U.S. House of
Representatives, February 7, 1994, at page 9. This quote is a reference to EPA's estimate of the
benefits
from a reduction in smoker mortality. The total estimated value from direct medical cost savings and
reductions in lost wages is from $5 to $16 billion annually.
37. See: Roger Bate, "Pick A Number: A Critique of Contingent Valuation Methodology and Its
Application in Public Policy," Competitive Enterprise Institute, Washington, DC, January, 1994. Also
see:
Robert K. Niewijk, "Misleading Quantification: The Contingent Valuation of Environmental Quality,"
Regulation, Number 1, 1994, pp. 60-71.
38. Ibid.
39. U.S. EPA, Costs and Benefits, at page 16. These figures are not corrected for the fact that many
U.S.
businesses already impose bans or restrictions on smoking.
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40. Gray Robertson, President of Healthy Buildings International, Inc., in testimony before the
Subcommittee on Health and the Environment, Committee on Energy and Commerce of the U.S. House
of Representatives, March 17, 1994, at page 4.
41. Robert D. Tollison, Duncan Black Professor of Economics, George Mason University, in a statement
submitted before the Subcommittee on Clean Air and Nuclear Regulation, Committee on Environment
and Public Works, U.S. Senate, May 11, 1994.
42. Ibid.
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