10-Year Cell Phone / Cancer Study Is Inconclusive
crimeandpunishment writes "A major international (retrospective) study into cell phones and cancer, which took 10 years and surveyed almost 13,000 people, is finally complete — and it's inconclusive. The lead researcher said, 'There are indications of a possible increase. We're not sure that it is correct. It could be due to bias, but the indications are sufficiently strong ... to be concerned.' The study, conducted by the World Health Organization and partially funded by the cellphone industry, looked at the possible link between cell phone use and two types of brain cancer. It will be published this week."
At least from this we know that cell phone radiation isn't causing some massive epidemic of brain cancer, and the affects, if there are any, are relatively small. That's not the biggest comfort you could have, but it's something (considering most of us are not going to give up our cell phones anyway).
Qxe4
Yeah, because surveying all those people would be ABSOLUTELY FREE and take NO TIME. Also, it's totally necessary to check everyone. Sampling and statistics don't exist.
How silly.
To get statistical significance, you don't need to sample the entire population. Beyond a certain number for a certain confidence level, you don't get very much more.
I'm a minority race. Save your vitriol for white people.
I was hoping that all those tools using blue tooth headsets were going to get prostate cancer as punishment.
GENERATION 27: The first time you see this, copy it into your sig on any forum and add 1 to the generation.
Not really. Sampling can give accurate results even when sampling a small percentage of the total population. If U.S. political polls select a sample size of between a few hundred and a thousand out of 300 million with only 3% error, it sounds reasonable that 13,000 would be a good sample size of a population 20 times that, giving the same margin of error.
Also remember that, assuming the sample is chosen well (it is a good cross-section of the population and not confined to one specific subgroup), the benefits of adding additional samples drops off. It is essentially logarithmic: at first, adding samples is a huge benefit: after a certain point, the incremental gain from one additional sample is only a tiny fraction of the first samples.
24 beers in a case, 24 hours in a day. Coincidence? I think not!
Cell phones cause so much cancer that ... the most widespread studies cant tell whether they cause cancer at all. That is good news for cell phone users.
So people who are convinced cellphones cause cancer are going to take their "possible increase" and declare scientists just definitively said cellphones cause cancer.
On the other hand, cellphone companies may try to take "we're not sure that it is correct" and declare no link to cancer.
My webcomic
The whole question seems kind of silly because there is another source of radiation people are exposed to every day that is far more likely to cause cancer...the sun.
You have a much higher likelihood of developing cancer from UV light than from microwaves.
in the given (not yet proven) chance that cellphones do give cancer, why not purchase a wired hands-free headset and be done with it?
-arc
And even if there is some correlation, people need to put it in perspective.
The last time I talked to a flat-earth-er about their fear of cell phones causing cancer, they had a drink in one hand and a cigarette in the other.
Now that, Alanis Morrissette, is irony.
--- "We've always been at war with Eastasia."
I have a problem with "medical surveys" in that they a prone to make correlation-causation errors. This seems to be a measurable problem that can be tested in the lab. Why don't people do this instead. Put a lab monkey next to an active mobile phone and keep them there for several years. After that, dissect the monkey for any signs of cancer. If there is, then alert the public. You then look into how it happened, i.e the biochemical interactions that caused it. Just "surveying" people introduces biases, other factors like diet and lifestyle and also crackpots.
Have they done this study against other types of radio frequencies like cordless land-line phones? What about emergency services workers that carry radios on their hips until needed...are they being checked for hip-cancer? Doesn't Nike or some other shoe maker have a device that fits inside a shoe so people can listen to FM whilst jogging? Watch out for heel-cancer! The point being, why are cell-phones being singled out as possible culprits where then are so many other devices out there that use radio technology?
I think the media has way too much control over what is allowed to scare us into taking action. It seems that our efforts could be better directed toward something that actually makes sense. Let Mythbusters handle this type of shit.
Loading...
If U.S. political polls select a sample size of between a few hundred and a thousand out of 300 million with only 3%..."
I'm not so sure those percentages are accurate. You'll often see different polls differ by much more than that (far more often than 5% of the time or whatever the confidence level is).
I have a suspicion that the math works out with a lot of "if a1 through aN are true, then..." and then no one going to the trouble of working out how likely each of those is to actually be true because they're hard to measure.
Certainly actual elections tend to fall well outside the +/- 3% accuracy claimed by many of the election-day pollsters.
Can you be Even More Awesome?!
So you know what that means, right? We are all going to die horrible deaths. (Or at least some of us).
There, I have concluded the inconclusive study.
You can't handle the truth.
From the article:
It was also based on people searching their memories to estimate how much time they spent on their cell phones, a method that can throw up inaccuracies.
It analysed data from interviews with 2,708 people with a type of brain cancer called glioma and 2,409 with another type called meningioma, plus around 7,500 people with no cancer.
They only asked people how much time they spent on the cell phones. Risk of getting cancer was based on hard data (medical diagnosis).
Why in the world would they ask someone if they felt ill effects from their cell phone? They probably asked how much a person uses their phone, if they use a hands free device and what medical conditions they have among a host of other questions. They dont go around surveying what a bunch of laymen think are the causes of diseases.
Seriously, what the hell kind of comment is that? How does this idiocy get modded up?
meep
No, you get a smoother, more natural bass and just generally a warmer...uh, sorry, wrong thread!
The article in USA Today has a nice little gem in it: "The authors acknowledged possible inaccuracies in the survey from the fact that participants were asked to remember how much and on which ear they used their mobiles over the past decade. Results for some groups showed cellphone use actually appeared to lessen the risk of developing cancers, something the researchers described as "implausible."" Now, I don't know why, but something about this statement seems kind of important.
The only thing necessary for evil to triumph is for it to be pitted against a slightly greater evil
The principle is correct, but you're failing to take into account the probability of an the respective events. Given that winning 60% of the vote is considered a landslide, you can think of asking someone whether they're voting Republican or Democrat as a coin flip with a small bias in one way or the other. Because the race is so close, a few extra republicans or democrats in your sample won't produce a huge error in your estimate.
On the other hand, a brain tumor can be thought of as a rare event. If the true incidence rate of brain cancer is five occurrences per thousand people over ten years, and your sample of 1,000 people has six incidences, you have a sample error of 20%. It's because of this that a small variation in the numbers can produce a large error. Therefore if you want to accurately assess the rate of cancer, you need a much bigger sample size.
Slashdot: news for Apple. Stuff that Apple.
From wiki: A blind or blinded experiment is a scientific experiment where some of the persons involved are prevented from knowing certain information that might lead to conscious or unconscious bias on their part, invalidating the results.
There's no real reason for this study to be blind or double blind; people either have brain tumors or they don't. I suspect that instead of asking, the scientists took a look at a persons medical history and looked for brain tumors.
It really seems silly when, in America at least, age-adjusted rates of brain cancer have fallen or held steady since the 1990s. From the National Cancer Institute:
It would seem to me that falling cancer rates are no reason for assuming that widespread cellphone use has been a health concern.
If U.S. political polls select a sample size of between a few hundred and a thousand out of 300 million with only 3%..."
I'm not so sure those percentages are accurate.
They look accurate to me. From me undergrad stats classes, I seem to recall that to get 5% confidence level out of population of 10k, one needed a sample of around 850. For populations of 1000k, the sample size only went up by a few tens (perhaps to 900). Sampling is not linear, and it drops off the higher you go - IIRC (and I think I do), their is very little difference in the sample size for a population of 100k as there is for twenty times that number.
I'm a minority race. Save your vitriol for white people.
Certainly actual elections tend to fall well outside the +/- 3% accuracy claimed by many of the election-day pollsters.
Because for many of those pollsters accuracy isn't main goal; swaying people, untill the last minute, to vote for the "winners" is.
One that hath name thou can not otter
Sunlight has lots of other benefits as well, not the least of which is you're probably exercising instead of playing WoW all day.
Human skin synthesizes Vitamin D when exposed to the sun. Vitamin D is anti-cancer, anti-rickets, anti-birth-defect, anti-flu (flu season takes place when the sun goes away for the winter), etc.
So basically, Vitamin-D is the Medical-Industrial Complex's worst enemy.
With that said, regular sunburns aren't good. It's usually best to stay out of the sun during the hottest parts of the day, approx. 12-2pm, and avoid sunscreen no matter what (which prevents the synthesis of Vitamin D).
Learn the rules so you know how to break them properly.
www.teslabox.com
The uncertainty in the study is due to the low precision of their data- they asked people to try and remember how much they were typically using their cellphones. Surveying more people isn't going to get people to provide more precise data.
Also, unless the needed data is already available somewhere, gathering more data costs more money. As someone else mentioned in a sibling post, there are diminishing returns when increasing your sample size. Eventually the cost of the data will exceed the benefit to the certainty of your results.
My webcomic
Our small, family business produces ceramic dielectric resonators which are individually made, by hand, with love and intention to absorb harmful emanations and rebroadcast the energy in neutral to beneficial ranges.
Charmion McKusick, Biomagnetic Research
(Good thing they rebroadcast bad waves into good waves, or they'd be violating some law)
But then again, people will believe what they will
This post contains no rudeness or derision of any kind. All arguments are friendly. Terms and exclusions may apply.
I'm guessing they did it properly. From TFA:
"The study received 19.2 million euros ($24.4 million) in funding, around 5.5 million euros of which came from industry sources. It analysed data from interviews with 2,708 people with a type of brain cancer called glioma and 2,409 with another type called meningioma, plus around 7,500 people with no cancer.
Participants were from Australia, Canada, Denmark, Finland, France, Germany, Israel, Italy, Japan, New Zealand, Norway, Sweden and Britain. ($1=.7872 Euro) (Editing by Mark Trevelyan and Reed Stevenson)"
I'm not so sure those percentages are accurate. You'll often see different polls differ by much more than that (far more often than 5% of the time or whatever the confidence level is).
Election polling is just especially difficult, since what counts is if you actually vote and who you vote for, neither of which have been determined at the time of the poll and could change. Election polling isn't simply an opinion poll, but is obviously supposed to reflect the population of people who will actually vote on election day. The polls have differing models of selecting "likely voters", and will thus have numbers that differ more than the margin of error for any single poll. In other words, taking the margin of error for a single poll and comparing it among multiple polls is invalid, since the differing polls used different means of sample selection.
Certainly actual elections tend to fall well outside the +/- 3% accuracy claimed by many of the election-day pollsters.
I guess I haven't found that to be true if you mean "tend to" is more than 50% of the time. Sure, you're going to find some that are outside of the 3% error bars, but you'd also expect that to happen, statistically speaking.
AccountKiller
While people in large numbers are essentially predictable (and therefore boring, which is why statistics - for the most part - works), those theorems are strictly valid only for true random variables. As GP pointed out, the differences between different polls sometimes like far outside the error bounds set by the poll itself. Kinda makes the error bound meaningless since it has been repudiated by empirical means. As always, observations reign supreme and if there's a conflict with theory, it is usually a case of unjustified assumptions - in this case, taking the approximate equivalence between mathematical random variables and real world people to be exact.
Also, you are right about more not being any better. At some point, you are just adding more and more precision to an inaccurate answer. It's like a calculator fetish - getting predictions to the 18th decimal point using a flawed model and wondering why they don't match reality.
Hey baba! I use a cell phone, live by power lines, have electrical wiring all around me in my home, I'm constantly bombarded by electromagnetic radiation. I'm one bad-ass mo fo and you want me, don't ya!?
Women: "Oh, you're so, so, DANGEROUS!"
That's right! I'm talking to you right now on my CELL PHONE!
"Oh, I think I'm cumming....Oh! Oh!"
ELECTROMAGNETIC RADIATION!
"Come over now and do me!"
That's what will happen!
RIP America
July 4, 1776 - September 11, 2001
Question #1: Do you have brain cancer? (Yes/No)
[If respondent answers yes to question #1, then continue]
Question #2: Do you have a cell phone? (Yes/No)
The results were quite astonishing.
Surveys don't try to prove causation, only correlation. I'm not really even sure what a correlation-causation error is, actually. The problem lies in what people think they imply.
Still, you shouldn't discount a survey as a useful statistical tool. Especially for mapping trends over time. Most of what you dismiss as introduced biases is accounted for, and factored out. If you have ever read one of these types of studies they are careful to give results with various factors included as well as removed to control for. Such as demographics, family history, smokers, etc etc. This way the reader can judge for themselves.
meep
Yes. Because a brilliant person wanting to be rich decides on research physics as ticket to the pot 'o' gold. If that's what you truly believe, I have this bridge I'd like to sell you ...
:p
Oh yes. Nearly forgot - 2/10 (needs a better username)
Also, I suspect GP was being sarcastic and your detector (or possibly mine) was broken
Really, what does it matter if cellphones cause cancer or not?
Modern society is pretty dependant on everyone being part of the information loop and being available all the time. Yeah, we were able to survive long before this happened - just like we were able to survive long before computers - but it would be practically impossible to return to how things were (just like it would be practically impossible to return to the time before computers and TV). Hell, we can't completely rid the society of smoking, etc. though they have little to no positive sides. How in world could we ever make people stop using cellphones? Devices which are very useful. Even if we found out that they increase the chances of cancer by a large amount, it would probably still be orders of magnitude easier to go after less useful things that still cause more health problems.
I'm not saying that this shouldn't be researched. I'm all for us finding out more about human body, etc... And perhaps this could be useful some way (if the current technology is found unhealthy, perhaps we could put more resources into researching alternatives that would offer the same functionality with lower health risks, for example. And those technologies could become useful in unforeseeable ways, too.). It also allows people to make more educated decisions (such as parents deciding whether to wait one more year before buying their child a cellphone, etc.) But even so... Whenever I see news about studies that concern cancer and cellphones I can't help but think "So what? It's not as if we were gonna go back to the time before cellphones even if they do cause cancer..."
I'm confused by your last statement. Are you saying that falling cancer rates do not let cellphone use off the hook for other health concerns? It seems that your quote from the NCI does exactly that as far as cancer is concerned (no more or less cancer with or without cellphone use would imply a lack of correlation there). Sure, that doesn't mean it couldn't raise other health concerns. For instance, I'd be worried about a faster approach to senility considering the mindless babbling on cellphones you get to hear in public, but that's another story. Besides, since we're essentially marinated in wifi signals all the time, I doubt the wireless genie can be put back in its box ever again. Even if it was found to be dangerous now, for all practical purposes, it's here to stay, so I really hope it's safe.
So from 1990 to 2002 cancer rates decreased slightly, while cellphone usage increased significantly? It looks like cellphones are actually a cure for cancer!
Two chicks at the same time, here I come!
Science isn't inconclusive. There is statistically significant, or not. In this case, not.
Test another hypothesis or test again if data looks fishy.
I mean that if cell phones cause cancer, you would expect the rate of cancer to raise along with the use of cell phones. Instead, cancer rates have fallen or stayed the same for 20 years.
To get statistical significance, you don't need to sample the entire population. Beyond a certain number for a certain confidence level, you don't get very much more.
Exactly right.
There was no statistical significance, which means that the cancers (or absence there of) were distributed over cell phone users and non-users (controls) with no preference for either group.
Normally this would be the end of it.
But by the way the reporter worded it (Inconclusive) and (to a lesser extent) the way the Researcher phrased it, indicates a clear predilection toward finding a positive correlation, which they could not do.
The takeaway is not that the study "inconclusive". The scientific takeaway is that there is yet again no evidence of correlation between cancer and cell usage.
Its over. The absence of evidence destroys this theory. Time to move on.
Sig Battery depleted. Reverting to safe mode.
*Nod*
Here are some additional details for those of you so inclined.
Consider a simple binary choice question. This is easily modelled by the binomial distribution which has well understood distributions. (Other distrbutions may be relevant but the principles remain pretty constant across them all.) The standard deviation is given by sqrt[np(1-p)] where n is the sample size and p is the probability of the observation you are interested in (the mean is np so in what follows I will be dividing by n to talk about percentages if you are taking notes). For example, are you male? If the true p is, say, 75% then you need a sample size of approximately 833 to get a 95% confidence interval (2 s.d.) of +/- 3%.
You might also note that the closer the true p is to 50%, the larger the sample size needed. If the true p is 50% you need a sample size of approximately 1100 for the same confidence interval. Furthermore, if you want to get it within 1%, the sample size goes up dramatically - to 10,000.
The population size is pretty much irrelevant. The population matters for ensuring that your sampling is truly random, but political pollsters can use the same sample sizes in Australia (pop ~20 million) as in the US (pop ~300 million) for similar accuracy. (Sampling bias is the reason that political polls can be out by so much - if you call households during work hours you are going to get a very different sample of people than if you call at dinner time.)
Given the number of people that use cell phones, if they do cause cancer often enough for it to be declared a problem I don't think we'll need a study to show it. I for one will continue to use my phone confident in the fact that it's still a net gain between the ways science artificially increases my otherwise natural lifespan versus the stupid decisions I tend to make that would act to decrease it. (not really referring to cell phone use there. more like that time I played the snowboarding video game and thought "psh, how hard can that be in real life. do you SEE that score?!")
The last time I talked to Alanis Morrissette, she had one hand in her pocket and the other hailing a taxi cab.
This topic screams for a natural experiment. Cell phone usage has grown at different rates in different countries. Compare the rate of brain cancer to the rate of cell phone usage in each country and how they change over time. This is how many public health problems are studied. It is not a foolproof method, but it's much better than a survey. The biggest challenge will be knowing brain cancer rates in developing countries, although I imagine hospitals in the big cities will have some useful data.
Yes the survey was conducted by the WHO, by then there is this gem
Data from the IARC study showed that overall, mobile telephone users in fact had a lower risk of brain cancer than people who had never used one, but the 21 scientists who conducted the study said this finding suggested problems with the method, or inaccurate information from those who took part.
Sounds like it was a bit of a waste of time really...
pffft.
The conclusions of their 10 year study were crystal clear. "Send us more money to do another 10 year study."
Democrats or Republicans. They are both taking us to the same place and they are not afraid of us anymore.
... to ask for more money for 'further research'.
No sig today...
Yes, after controlling for hundreds of other factors. What causes do we know for brain cancer and how have they varied? We've increased public awareness of causes of other cancers (smoking, UV, etc.) and taken steps to reduce causes (smog, the worst pesticides, second-hand smoke, etc.) I wouldn't be surprised if some of those affected brain cancer, and there are countless others.
And a extremely-high-powered radiation source (>1000x that of cell phones, with incredibly high intensity) aimed right at their faces: THE SUN! THE FUCKING SUN! ;)
Oh, and outside there were at least a 1000 cars driving around.
Any sufficiently advanced intelligence is indistinguishable from stupidity.
Absolutely, the sample size is inversely relative to how close the differential result is to the 'noise floor'.
In this respect, your first example is slightly flawed. As the expected determinant gets closer to the noise floor (ie. if the margin for a Republican or Democrat victory is going to be 0.01%, or 50.01% vs 49.99%), then a much greater sample size is needed to maintain confidence in the resultant prediction.
As you say, 60% is a landslide. So if that is the expected result, then a few percent error either way isn't going to change your final determination of the winner.
If your sample size is huge, then it's not statistics.
It's counting.
They look accurate to me. From me undergrad stats classes, I seem to recall that to get 5% confidence level out of population of 10k, one needed a sample of around 850.
If you upgrade to the new Total Recall (TM) solution, you'll have 95% confidence in what you remember.
Did you forget about this line?
"I've got one hand in my pocket. And the other one is flicking a cigarette."
or is my sarcasm detector broken?
This seemed like a reasonable sig at the time.
It could still be a general drop in cancer rates, but a specific rise in the rates for people who use cellphones (in certain conditions, given that pretty much everyone uses them these days?). Looking at simple numbers like that is inconclusive
When I first started using a mobile phone, I didn't know it was going to affect me. But very soon I discovered that whenever it was switched on and in my trouser pocket, I'd get a severe hip ache after half an hour. If I talk for more than 5-15 minutes, I can feel my ear being affected, and after an hour I'll have a headache. This does not happen if I'm using a cord-phone or headset, as I can talk for hours on end without any of the symptoms that I get from using a mobile phone. (Bluetooth seems fine to me.)
And I'm not alone.
I don't know if mobile phones cause cancer.
I don't know why only some people seem affected.
I don't know how it happens.
I don't know if it's even harmful at all.
But I do know that, when switched on and close by, mobile phones do cause aches to some people.
(And the irony is that I write software for mobile phones.)
Not really. I mean, I struggle to find anyone over the age of 75 that doesn't regularly use a cell phone, and I live in Wichita, Kansas. We are not bleeding-edge technology adapters. [i]Everyone[/i] (in a statistically significant way) uses cell phones. For the number of instances of brain cancer to fall and or hold steady in the last 20 years AND for cell phones to have a statistical impact on brain cancer rates, there would have to be some great "holy shit, this causes brain cancer so let's stop doing it" that went on at the same time. And is there any great holy grail of brain-cancer prevention going on? No. Not according to the American Cancer Society. There's just no evidence of any rise whatsoever despite the massive public experiment involving holding these devices to hundreds of millions of heads.
Nick Naylor: "Gentlemen, practice these words in front of the mirror: Although we are constantly exploring the subject, currently there is no direct evidence that links cellphone usage to brain cancer."
Isn't that kind of statement extremely unprofessional and irresponsible regardless of the actual topic. The researcher must have known that only the "indications are sufficiently strong to be concerned" will be the only part remembered for years to come by millions of people who will conclude that the study confirmed actual danger.
... in the middle of the quote. Might the actual words have been cooked to make it sound scary?
Or should we blame the journalist? There is a
"The study was inconclusive because it did not come to the conclusion that we wanted."
I'm starting to see a pattern here...
The fact that most people don't understand statistics doesn't mean stats are bullshit. It just means people are dumb.
Depends...
Humans are all more of less alike. If you take thirteen thousand humans and you do double blind research then you can be somewhat sure that if damage is done due to cellphone use a lot of other humans would suffer from it too. Sure you got different DNA maybe, but you still have the same cell structure and it is all about damage done or not done to human cells.
In general it realy depends of what subject statistics repressent reality. If you take thriteen thousan US citizens and ask them who they would vote then I'll happily go "Lol statistics" with you...
Here be signatures
The last time I talked to herself, my head exploded. Then again, I wasn't immortal as I'd just had my wings blown off by a gangsta with a Mac 10. Sucks to be a fallen angel, but the flaming sword kicked ass.
Finally had enough. Come see us over at https://soylentnews.org/
The study, conducted by the World Health Organization and partially funded by the cellphone industry,
That is why the study was inconclusive.
At least the cell phone industry is settling for a spin of neutral. The US dairy industry routinely settles for nothing less than a complete inversion of the truth such as "cows milk helps you lose weight" and "cows milk helps prevent colon cancer"
They actually don't have any idea what causes most brain cancers. "People receiving radiotherapy (high-dose ionizing radiation) to the head during childhood are at increased risk for developing brain tumors, as are people with certain rare genetic disorders such as neurofibromatosis and Li-Fraumeni syndrome." (From the American Cancer Society) So, awareness about head radiation and genetics aren't really going to be huge gotchas that effect brain tumors. The things you mention effect cancer in people, but not brain tumors.
And, to be clear, we are talking about brain tumors that develop in the brain first, not malignant cancers that developed somewhere else and traveled to the brain, which is actually how both my grandmother (kidney, originally) and one of my mentors (lung, originally) both died. It's a horrible way to die. It undoes you.
But there's not only no evidence that cell phones cause cancer, there's no evidence that brain cancer rates are rising. And no one is doing anything to make those rates fall because they don't know what causes it to begin with. It's a totally fictitious concern.
One of the problems with political surveys is that they are not random samples. Many are much closer to convenience samples: they include people who are at home at a particular time, answer the phone, and are willing to participate in the study.
On the other hand, a decently organized cell phone/cancer study would involve a much better sampling methodology.