Jacob Sullum | November 16, 2005
Researchers in Colorado claim to have confirmed the amazing
power of smoking bans to reduce heart attacks, a phenomenon first
invented discovered in Helena, Montana, in
2003. You may recall that two local physicians, aided by
anti-smoking activist Stanton Glantz, reported that
Helena's ban was followed by an immediate 60 percent reduction in
heart attacks, a claim later downgraded
to 40 percent. Now we're told
that the heart attack rate in Pueblo, Colorado, fell by 27 percent
within 18 months after the city banned smoking in "public places" a
couple years ago.
In its press release about the unpublished study, the Pueblo City-County Health Department conflates correlation with causation, saying the data from Helena "showed restrictions on public exposure to secondhand smoke caused a sharp decline in heart attacks." If this had already been demonstrated, why do any more research? In fact, the Helena data indicated only that the ban was followed by a drop in heart attacks, not that the former caused the latter.
The press release also obscures the distinction between reducing secondhand smoke exposure (the ostensible aim of smoking bans) and pressuring smokers to quit (the real aim). It notes that "the study didn't distinguish between smokers and nonsmokers, but rather represented a combination of both smokers and those impacted by secondhand smoke." In other words, some, most, or all of the drop in heart attacks could have occurred among smokers driven to quit by the ban. Yet the press release quotes one researcher who says "this study further validates the argument that limiting exposure to deadly tobacco smoke can save lives" and another who claims "this study provides important knowledge that people can be healthier if secondhand smoke is removed from public places."
As anti-smoking activist (and smoking ban supporter) Michael Siegel points out on his tobacco policy blog, the study does nothing of the kind. Siegel notes that it's quite implausible to suggest that secondhand smoke causes three out of 10 heart attacks. (Even the American Heart Association, which sponsored the conference where the Pueblo data were presented, attributes only 5 percent of heart disease deaths to secondhand smoke.) Siegel suggests the drop in heart attacks was more likely due to a decline in the number of smokers. Yet studies of smokers who quit indicate that their heart attack risk does not fall sharply enough to account for the 27 percent drop ascribed to Pueblo's smoking ban, even if the law caused every smoker in town to quit (which it presumably did not).
In any case, it's not at all clear there's a phenomenon here that needs explaining. Hundreds of cities in the U.S. are covered by state or local smoking bans. I imagine the heart attack rate declined in more than a few after the bans took effect, went up in others, and stayed about the same in most. That's the pattern you'd expect purely by chance. Identifying cities where heart attacks declined proves nothing. If these laws have the sort of impact people like Stanton Glantz are suggesting, there should have been a noticeable post-ban drop pretty much everywhere with similar restrictions.
[Thanks to Linda Stewart for the tip.]
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Okay, being a devil's advocate here...
Jacob, are you saying that the effects of smoking bans
have been studied elsewhere and Helena and Pueblo are the
only two that showed a heart attack decrease? If so, the pro-ban
folks are doing some intense cherry picking. But my impression was
that these were the first two towns to be studied for these
efffects. If that's correct, you may still be right that
nothing it proven yet as ban advocates are claiming. But even if
their claims are overstated, as long as the studies' methodology
are sound, a reasonable person would have to find these (ahem)
correlations rather interesting.
Jacob, As the top notch reporter you are, maybe you could find the city where a ban increased heart attacks. And the sooner the better, there's not many cities left here in Louisiana that respect property rights.
IIRC, the problems with the study in MT included very small
sample size and no effort to control for, well, anything. No care
in how comparisons were conducted (compare same time of year, for
instance, look at demographic breakdowns of heart attack patients),
and no attempt to see whether heart attacks dropped most
dramatically in people whose smoke exposure had dropped after the
ban.
In other words, it was in the straw man category that people on
H&R like to refer to when they remind us that correlations are
(allegedly) useless. Correlations are only as useful as the
underlying study is thorough. If I'm remembering the details (or
lack thereof) in the MT study correctly, then the numbers were
useless.
And yes, I know, even if they did all that, and the sample size was
really large, correlations prove nothing. I know, I know.
Correlations can only be suggestive, never conclusive.
I can't wait until we abandon the entire concept of hard science and let Las Vegas illusionists tell us what to do.
Fyodor, I'm not aware of any published studies presenting heart attack data for other cities with smoking bans. But that in itself is a bit suspicious: With an effect as dramatic as the one claimed by Glantz et al., wouldn't you expect evidence all over the place, especially in big cities such as Los Angeles, San Francisco, New York, and Boston? We have no way of knowing how many times supporters of smoking bans have looked at such data and failed to find a drop.
Thanks thoreau and Jacob.
Jacob, I know I should RTFA, but lacking time to do that at the
moment, am I to understand that the Pueblo "study" was merely the
result of anti-smoking activists "looking at" the data and then
pointing out their conclusion to the health department officials
who then publicized the apparent findings to the press? If this
information was prompted by anti-smoking activists who had the
choice of whether to say anything about it rather than reputable
researchers who would have pubicized their findings either way,
then your point is valid.
The study didn't distinguish between smokers and nonsmokers,
but rather represented a combination of both smokers and those
impacted by secondhand smoke.
Clear as ... smoke.
It's also possible that the reduced business at Pueblo bars and restaurants caused some customers to drive to another town and had their heart attacks in other locales instead of Pueblo. I'm sure the number of heart attacks in New Orleans has dropped severely over the last couple months.
18 months seems like an awfully short time to conclude anything
about the health effects of a smoking ban, especially when it
refers to heart attacks which are are events normally precipitated
by many years of unhealthy behavior.
You'd be hard pressed to convinve me that 1 of every 4 heart
attacks per year could be stopped during that time by removing one
variable after a lifetime of unhealthy living.
I can't wait until we abandon the entire concept of hard
science and let Las Vegas illusionists tell us what to
do.
Huh...? I think I get what you're talking about, but could be be a
little less vague for the folks at home?
Russ D,
As a Denverite I can attest that there's not a whole lot right
around Pueblo. With the possible exception of the one suburb of
Pueblo West, the closest town of any size is 30 to 40 miles
away.
Fyodor, I don't know much about the backgrounds of the people
who did the Pueblo study. One of them is the director of the local
health department and presumably supports the smoking ban; the rest
seem to be local doctors. In Helena, the two local doctors who did
the study were both involved in the campaign for the smoking
ban.
In any case, I'm not sure that even "reputable researchers" would
go to the trouble of writing up and publishing negative findings
(or that they could find a receptive journal if they tried to do
so). This is one of the controversies regarding the broader
secondhand smoke literature: whether publication bias accounts for
some or all of the observed correlation between exposure to
secondhand smoke (generally measured by the proxy of living with a
smoker) and chronic diseases such as lung cancer.
Jacob-
You have a good point, in that "nothing to see here, move along" is
hardly the best abstract for a research article. My guess is that
such a paper could get published if somebody else has previously
published positive findings, and the new study reaches the opposite
conclusion with more rigorous methods and a larger sample
size.
But that makes for less interesting news footage. It may be
inevitable that the first publication on a topic will always be the
one that purports to find a hazard.
Jacob,
Interesting.
Y'know, I often measure the value of an argument by how good I
would feel about using it against someone who disagreed, and I'm
not sure about this. There may not be any journal that want to
print results that found no correlation? Why not, would it be too
boring? Are there no smoking ban critics who would have the
resources to study LA, SF, Boston or NY to show that they're
different? Are these studies done in secret such that there's no
one to tell the world that anti-smoking activists did a study but
didn't tell anyone the results? Is publication bias a recognized
problem in other research endeavors? Has anyone shown a seemingly
demonstrated correlation was only the result of publication
bias?
Thanks for the response, BTW.
This just in:
These factoids brought to you by the bumblefuck department of
public resources.
After the law went into effect I wonder how many heart attack victims died before they made it to the hospital because they were outside smoking and no one saw them go down?
Not that this means much, but in went searching for heart attack
data and found that heart attacks occur more often in winter.
http://in.news.yahoo.com/031126/139/29tef.html
Now, for the 2 18-month spans used in the Pueblo claims, the first
one (before the ban) contained 2 winter seasons and the second
period (after the ban) contained only one winter season. So you
would likely find the same results even if no smoking ban were in
effect.
Huh...? I think I get what you're talking about, but could
be be a little less vague for the folks at home?
meaning that when something so obviously relying on smoke and
mirrors to deceitfully make a point is passed off and accepted as
hard scientific research, we might as well abandon any vestige of
hope that there will ever be honestly presented "facts," and just
turn the show over to someone who will, at very least, present it
to us while wearing a jaunty sequined tux.
Russ D,
That's very interesting! Is the winter effect large enough so that
two winters instead of one could explain the 27 percent difference?
(Or close enough?)
kmw,
Others have provided good rebuttals, but yours is inane. If
decreases in heart attacks really did follow smoking bans as
consistently as Valentine's Day follows the Super Bowl, WHO CARES
if we couldn't literally prove causality? And as a matter of fact,
summer, or more specifically hot weather, does kind of cause ice
cream cones. If it were shown that the hotter the weather, the more
ice cream cones were purchased, would you be no more likely to
invest in an ice cream truck in Florida than in Maine because no
"causality" was established?
In sum, if consistent correlation is demonstrated, then
saying correlation doesn't prove causality is rather meaningless
(to the subject at hand).
All that said, as I alluded to at the start of this post, many here
have done a good job showing why these two studies do not at all
demonstrate any consistent correlation.
fyodor-
As far as Russ's objection, I don't know if winter would give a 27%
discrepancy in a large sample. But in a smaller sample, it's
possible that winter plus chance could give a 27% discrepancy. And
we'd also have to ask ourselves what other local variables might
have changed between the two separate periods of 18 months.
On correlation: To be fair, correlation doesn't prove causality no
matter how strong or persistent it is. But if a consistent
correlation is found, and if it is robust against various controls
and found in both time-series and cross-sectional studies, then it
is worth looking deeper into the matter to see what is going on.
Most research starts with either anecdote, intuition, or
serendipity. Correlation is the next logical step because it is
easy, and because if the hypothesis is true then a correlation
should be present. After that comes controlled experiments and
searches for mechanisms. To just recite the mantra "Correlation is
not causation! Correlation is not causation!" is absurd.
Based on my anecdotal observations, I would say that peer-reviewed
studies by people with good academic training and no conflicts of
interest (personal beliefs are not a conflict of interest) tend to
be much better than the sort of things that some journalists and
activists do. (The guys who published the Montana study apparently
did make it past peer review, but they were also activists involved
in bringing about the smoking law.)
My anecdotal experience is that good peer-reviewed studies by
academics include analyses from a variety of perspectives, tests of
several variables, checks to see if the correlation involves a time
lag, checks to see if the correlation is strongest in certain
subsets of the data where it might be expected, and generally a
thorough look at the data set. The methodology still suffers from
inherent limits, of course, but they try to push the method as far
as possible. They also employ common sense to see if there's a
plausible mechanism, and propose studies that could further explore
the hypothesis.
OTOH, activists and journalists are more likely to say "Hey, look,
these two things follow a trend! Check it out! And please buy a
paper/tune into our show/donate to our cause."
The second type of studies give rise to horror stories, and also
provide justification to those who simply want to dismiss any and
all studies as useless.
fyodor,
I was being a sarcastic smartass; it wasn't to be taken literal. I
didn't want to waste my employment hours rebutting something as
full of holes as this. But obviously comedy isn't my strongest
attribute.
I wish I had some of Thoreau's comedic timing. Some of his fake names have had me laughing uncontrollably.
kmw-
Sorry. I'm relieving boredom while my code runs, so I proved my
stupidity by writing a long rebuttal to a joke. Figures.
When the anti-tobacco forces run at least one ad between every radio and TV segment, there's not much chance to bring facts into the debate. There's no hope to overcome the movement, so, might as well start getting my tobacco in sandwich baggies and smoke it in the bathroom, exhaling into toilet paper.
kmw,
Not that you weren't funny! But as thoreau says, the "Correlation
is not causation" chant is tossed about a little too casually here
sometimes, and I was looking for an excuse to make that point! So
my apologies for insulting your post, but thanks to that little
chain of events, we got thoreau to address the matter more at
length! :-)
I will only say further, in follow-up to thoreau, that even if a
persistent correlation doesn't prove causality, it does prove.....a
persistent correlation! Which in many cases is simply enough to
be.....enough, or germane to the matter at hand.
As for these smoking bans lead to less heart attack studies, it's
beginning to sound more and more like another case of liars damn
liars statistics.
Thoreau,
No apology necessary, sorry I wasn't more clear. I suppose I should
have been more over the top, to make it more obvious.
But apparently jokes aren't my natural talent.
Fine with me as long as the Las Vegas illusionists are Penn & Teller.
The study didn't distinguish between smokers and nonsmokers,
but rather represented a combination of both smokers and those
impacted by secondhand smoke.
Or maybe three ways: between smokers, nonsmokers exposed to
secondhand smoke, and smokers who lie to their dcotors. ;)
I'm skeptical about snap conclusions drawn from small, imperfect
studies, too, but the vehemence with which Mr. Sullum rejects the
possibility that smoking bans do lead to decreased incidence of
heart attacks without credible research verifying that extreme
position is a mite bit typical of his rhetoric.
For someone who ostensibly argues for the freedom to smoke, inject
and ingest all sorts of substances on personal-freedom grounds, Mr.
Sullum sure spends a lot of energy arguing that smoking may well
not have any measurable, documentable adverse health effects at
all. Even the big tobacco companies don't bother with that line of
attack these days.
I'm reminded of this post from Alex Tabarrok of Marginal Revolution on why we should be skeptical of all published research. It can only be that much more true for unpublished studies.
thoreau,
IIRC, the problems with the study in MT included very small
sample size and no effort to control for, well,
anything.
By itself, those are enough reasons to ignore the study entirely.
Any good epi study has got to have a large sample size. When I took
epi that was pounded into our heads over and over again. Large
sample sizes. Large sampkle sizes. Anything else is a waste of
time.
The New York State ban started March, 2003. I checked the latest
available statistics (those for 2002 and 2003). They show a slight
decline in the death rate from major cardiovascular disease from
345.1 to 337.1 per 1,000. I would be better to compare 2002 with
2004, but we'll have to wait until December for the 2004
statistics. It's noteworthy that the death rate from lung cancer,
breast cancer, and cancer in general all went up during the same
period. If you look at enough statistics from a city, you'll find
one that supports your view. The New York vital statistics are at
http://www.nyc.gov/html/doh/html/vs/vs.shtml .
One last thought, since everyone eventually dies of something,
wouldn't a drop in one type of death mean you'll eventually see a
rise in another type and vice versa? The most important statistic
is the life expectancy.
Off topic, but this might be a first. Two Colorado locales featured in thread titles on the same page! All you guys should come out to Denver and hang with us Saturday night!
Since we're talking about Montana and Colorado, what are the
odds that a number of patrons (in the dangerous early stages of a
heart attack) went outside for some air (and a smoke) and appeared
to freeze to death?
Or that they ventured out to their cars, drove around a bit to warm
things up, and in the haze of smoke and frost, drove off a frozen
road? I doubt the coroner of Podunk is going to look much further
than 'massive hemorrhaging' under all but the most sensitive
circumstances.
Statistics suck but statistics based on sloppy data gathering suck
worse.
Evade is quite correct. Misidentifying the cause of death is very common.
koppelman,
Did you RTFA? Why get on Sullum's case when the article contains a
preposterous line such as this:
"The Pueblo study affirmed that such laws can cause a dramatic
improvement in public health."
Rationality was already out the window before Sullum's comments. I
helped an old lady cross the street in July 2003, so I'm taking the
credit for the reduced heart attack rate!
Pueblo City-County Health Department conflates correlation
with causation, saying the data from Helena "showed restrictions on
public exposure to secondhand smoke caused a sharp decline in heart
attacks."
I.e. "Smoking in public places was prohibited to eliminate
secondhand smoke, therefore the heart attack rate dropped 26% in 18
months."
Unscientific common sense would indicate that either:
Somewhat more scientifically, given the coverage of these
two studies, the number of scientists on the anti-smoking side, and
the number of cities which have similar laws, either:
Mr Sullum is correct that the original Helena study was
downgraded from 60% to 40% in the final paper that somehow made it
through the peer review process of the BMJ. The reason the number
changed so significantly was because the original methodology
seriously flawed, substantial changes were made such as collecting
more data and crunching the numbers differently. The methodology of
the published version wasn't much better.
For the reasons someone stated in an earlier comment, things like
seasonal variance may be a confounder, so the data in the published
version only included AMI admissions from the June-Dec period of
the years prior to and after the ban, instead of all the AMIs for
the few years prior and after the period the ban was in effect. But
that methodology is also a weakness of this type of "study" in that
weather varies substantially from season to season. In fact there
was a substantial jump of over a 30% increase in admissions
recorded of 50 in the year prior to the ban compared to the average
of about 37 in the years 1998-2000 and 2003. Including that fluke
year pulled the average up to make the differential compared to the
six months of the ban look even more pronounced.
Another confounder is they reviewed death records, but didn't
include in the record any data on deaths of those heart attack
victims who died on the way to the hospital and therefore didn't
make it through hospital admissions process to be counted as an AMI
"because of concern about the accuracy of the assigned causes of
death." I haven't seen the death record data, so I have no idea how
much of a factor that may be.
And for another confounder, they also didn't include people in the
study group if their symptoms started outside the Helena area.
Whenever a ban starts, bars and restaurants tend to report a
significant drop in business as smokers stay home or don't go out
for as long. So folks who might have normally have been in town
when their symptoms started might have been home in the outlying
'burbs, "outside the study area", during the six months of the ban.
So not only would these people who may have required a longer
transport to the hospital after a cardiac event possibly be
excluded if they happened to have died en route, but even if they
made it to the hospital, they may have been excluded. Below is the
text of that from the BMJ paper:
"We reviewed charts of patients from outside the study area to
determine whether onset of symptoms occurred in or out of the study
area and included them if the patient's symptoms started in the
study area. Twenty six patients in the primary acute myocardial
infarction group had out of area zip codes; 14 were included. Eight
patients with a secondary diagnosis of acute myocardial infarction
had zip codes out of the area. We included three patients with a
diagnosis of primary myocardial infarction (for example, primary
diagnosis of cardiogenic shock with secondary diagnosis of acute
myocardial infarction) whose symptoms had started in the study
area."
The above are just my opinion. Even if correct, it doesn't matter
much, for any analysis today really doesn't matter. The huge 60%
drop originally reported in the press releases from the American
Heart Association and UCSF and picked up by the main stream press
will be forever etched in the minds of the ignorant masses. Those
are the people who vote for bans that anti-smokers want to enact
through public referendums because they couldn't convince OSHA that
their junk science was real.
Now the same from Pueblo. And the anti-smokers even drug out
another bullshit "study" and blew the dust off to try more of the
Chicken Little sky is falling approach to stir the complacent
masses into hysteria. There's no reason why the crap below was just
posted on WebMD today with absolutely no reference that it was
actually done in 2001 and the anti-smokers had a field day with it
in the press back then.
http://www.webmd.com/content/article/115/111726?src=RSS_PUBLIC
Anyone not watching them won't realize that it's old news. Show's
you how they take old crap and try to make it look new.
Frank,
The dead giveaway line in the linked article is this:
"Thirty healthy male Japanese men -- 15 smokers and 15 nonsmokers
"
It's impossible to make a claim that 30 minutes of exposure to SHS
makes one unhealthy AT THE SAME TIME claiming that 15 smokers are
healthy! The bullshit comes flying so fast it's hard to catch it
all.
LOL, Russ, they sure did. The funny thing though is that a
single high fat meal also causes such endothelial dysfunction as
they had "proven" in the Japanese study. Only the study on the high
fat meal was better constructed because instead of only taking one
measurement before and immediately after exposure, the researchers
kept taking measurements every hour up to four hours after after
the meal to determine how long the effect lasted.
http://jama.ama-assn.org/cgi/content/abstract/278/20/1682
The junk Japanese "study" didn't do that. It appears to be cooked
up by anti-smokers with one specific purpose -- to make a
propaganda announcement.
I was just informed there was a "study" released from Bowling Green, Ohio, last year as well. There's not much more out there on the web than a press release with results of that "study" which purportedly compares heart attack rates in Bowling Green with Kent, Ohio. If you click on my name on this comment you'll see my write-up on that with all the pertinent links and amplifying information.
I'm sorry... a friend active on this board told me that posts go
up immediately. I'd assumed mine had died and resent them as a
combination. After rereading the screen response about posts I
realized that my earlier ones DID probably go through.
Sorry for all the extra reading/work I just put you through!
:/
Michael
Steve Milloy deconstructed Helena a few years ago, pointing out
that, among other serious flaws in the "study," a similar dip in
heart attacks had occurred in Helena in 1998, long before any
bans.http://www.foxnews.com/story/0,2933,100318,00.html
Then too I'd suspect that heart attack rates have begun to dip
slightly all around the country because of more aggressive
preventive treatment. A good "control" of course, would be to do
this kind of study (comparing this year and half to the previous
year and a half) in towns withOUT bans. But where's the kick in
that?
Finally, one thing neither Helena's nor Pueblo's researchers know
is how many of these people actually frequented restaurants and
bars. Chances are a lot of them were older folks who didn't "hang
out" much, either before or after.
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