How not to science: Lessons from flat earthers and climate change deniers

A great quote from one of my favorite shows, Stargate SG1 (Season 3 Episode 19, “New Ground”)

Science is an amazingly powerful tool for disentangling fact and fiction. When done correctly, it is a systematic, objective, unbiased, and self-correcting method for understanding our universe. Unfortunately, many people don’t appreciate the objectivity that science requires, and instead view it as a blunt instrument for proving what they already “know” to be true. You see, science always has to ask open-ended questions, because science is not a method for trying to prove something. Rather, science is a method for trying to learn what is true. It is a method for setting aside your biases, testing possibilities, and discerning objective reality. Thus, science must always go from evidence to a conclusion. It can never go from a conclusion to evidence. Indeed, if you start with a conclusion, then look for evidence to support that conclusion, you are, by definition, doing pseudoscience. This fraudulent strategy of trying to prove a belief while operating under the guise of science is extremely common among science deniers, and in this post, I want to use two recent, widely reported events as illustrations of how this flawed line of reasoning operates and why it is problematic.

The events in question are the Netflix documentary about flat earthers and the announcement that the Trump administration is putting together an “adversarial” climate change panel. Although I’m going to focus on just these two examples, I want to make it clear that the underlying cognitive biases and abuses of science that I’m talking about are pervasive throughout pseudoscience. Anti-vaccers, creationists, anti-GMO activists, proponents of alternative medicines, etc. all do this.

Let’s start with flat earthers. Netflix recently released its documentary, “Behind the Curve” that takes a look at flat earthers. There are several really revealing moments, but I want to focus on the gyroscope experiment. You see, some of the flat earthers conducted an experiment that actually showed that the earth is round, but as you might have guessed, they were not eager to embrace the results of their own experiment.

In the lead up to this experiment, Jeran Campanella (one of the people who runs the “Globebusters” Youtube channel) stated, “I think that the scientific method is the best way to get to the truth.” So far so good, but he ended that sentence with, “and I just want to feel comfortable in things that I believe.” Now we’ve entered problematic territory. Science is not a method for making you feel comfortable. It is a method for discerning what is true, regardless of whether the truth makes you comfortable. To be fair, perhaps what Jeran meant was simply that he wanted to accept whatever position was supported by good evidence so that he could be comfortable in his views, but the response to the gyroscope experiment suggests otherwise.

The experiment itself was fairly simple. On a spinning globe, a gyroscope at any fixed point on the planet will drift (on earth, this drift should be 15° an hour due to the fact that the earth makes a full rotation every 24 hours). So, the flat earthers bought a $20,000 gyroscope to “test” this. This is actually a good experiment. It presents a nice falsifiable prediction (the heart and soul of science). If the earth is round and is rotating, the gyroscope will not only drift, but it will do so at 15° an hour. If the earth is flat, the gyroscope will not drift. Nevertheless, I put the word “test” in quotes a minute ago, because the flat earthers weren’t actually interested in testing anything. They were interest in proving that the earth is flat rather than objectively testing its shape. I say this, because, as you should have expected, the gyroscope did, in fact, drift by 15 degrees an hour. Thus, the notion of a flat earth was falsified, but here is how Bob Knodel (Jeran’s co-host on Globebusters) responded to the experiment,

“Wow, that’s kind of a problem, right?” Yes, Bob, it is. It defeats your hypothesis, but he continued, “We, obviously, were not willing to accept that.”

Here we have the key problem. You don’t get to ignore a result just because you don’t like it. That’s not how science works, and it is why it is so problematic to start with a conclusion, rather than starting with evidence. Flat earthers will never accept evidence against their view (as Bob just admitted). They will always ignore evidence to the contrary and cherry-pick and distort evidence as much as they have to in order to maintain their beliefs. If you start with a conclusion, you will always be able to find evidence which, at least to you, appears to support your conclusion. This is a very easy cognitive trap to fall into, and it is why science must always start with the evidence, then draw a conclusion based on that evidence, regardless of what the evidence shows.

Back briefly to the example, Bob continued, “We started looking for ways to disprove that it [the gyroscope] was actually registering the motion of the earth.” Again, this is not how science works. Science must always ask open-ended questions and if your goal is to prove or disprove something, then you are doing pseudoscience. In this particular case, the flat earthers decided that the drift must be from energy from the heavens. This brings me to another important point. When faced with contrary evidence, science deniers often simply make things up to patch holes in their arguments. In this case, there is no evidence for these heavenly energies, but flat earthers assume that they exist because they need them to explain various phenomena. In technical terms, this type of blind assumption is known as an ad hoc fallacy.

Moving on, the flat earthers put the gyroscope in a zero gauss chamber to shield it from these “heavenly forces,” but that test still showed the 15° drift that you expect from a spinning sphere, a result that Bob described as “unfortunate.” Again, you shouldn’t think that it is “unfortunate” if a test disproves you. You should embrace the knowledge that the test provided, regardless of how it aligns with your previous views. Bob, of course, is unwilling to do that, and plans on running future tests to try to prove the gyroscope isn’t actually showing evidence of a spinning earth.

Hopefully, at this point, you can see why this approach to “science” is so problematic, but as I said earlier, this is not unique to flat earthers. Indeed, in previous posts, I’ve argued that all forms of science denial are fundamentally the same, and the flawed reasoning used by flat earthers is the same flawed reasoning that is used by people such as climate change deniers.

This brings me to the announcement that the White House is putting together an “adversarial” climate change panel that will be tasked with discrediting various aspects of climate science. The impetus for this seems to be the release of the Fourth National Climate Assessment. This government review of the evidence found that climate change is being cause by us and is a serious problem. Trump and other climate change deniers obviously did not like that answer, so they are putting together this “adversarial” panel to disprove the evidence.

that's not how this works memeThis is exactly the same thing that flat earthers do, and its not how science works. The reality is that the evidence for climate change is overwhelming. There is an extremely strong consensus among studies, and studies to the contrary are virtually non-existent. Systematic reviews of the literature consistently find that we are causing the climate to change, but, just like flat earthers, climate change deniers don’t want to accept that evidence. Rather, they want to form a group of “experts” to cherry-pick evidence and try to prove a particular position. That is, by definition, pseudoscience. Science works precisely because it is objective and asks open questions rather than blindly trying to prove a particular position. If you start with the goal of trying to discredit climate change or vaccines or any other position, you will always see only what you want to see, now matter how wrong you are. You will always be able to convince yourself that the evidence is on your side. Getting a bunch of people who agree with you together and ordering them to discredit a position is simply not how science works.

In closing, I want to reiterate that nothing that I have talked about is unique to flat earthers or climate change deniers. As I’ve talked about before, anti-vaccers love to cherry-pick lists of papers that supposedly support their position, while blindly ignoring the mountain of studies that disagree with them. Tenpenny (a prominent anti-vaccer) has even gone as far as putting together a “library” with the expressed purpose of giving people, “evidence to support what they intuitively know” (details here). Similarly, young earth creationists have groups like the Institute for Creation Research that try to prove creationism “scientifically.” The IARC report that claimed glyphosate is carcinogenic is another great example that parallels Trump’s climate change panel. An examination of that report quickly reveals that it was heavily biased and cherry-picked its sources to try to prove that glyphosate was carcinogenic, while totally ignoring all the sources to the contrary (more details here and here).

My point is that this type of motivated reasoning can be found on just about any topic, and you need to be wary of it. When you approach a topic, you need to make sure that you are asking open questions and accepting the answers to those questions, rather than trying to prove a position. Always ask yourself, “what evidence would convince me that I’m wrong?” If the answer is, “nothing,” then you are not adhering to the rules of science or logic.

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Posted in Global Warming, GMO, Nature of Science, Science of Evolution, Vaccines/Alternative Medicine | Tagged , , , , , , , | 12 Comments

5 hottest years on record all happened in the past 5 years (global warming is real)

Climate change is based on scientific facts and evidence, not politics or ideology, and it is an incontrovertible fact that the planet is warming. Nevertheless, many people continue to deny this reality (although polls suggest that their numbers are shrinking). The recent polar vortex, for example, was frequently touted as evidence that global warming is not happening. The actual data, of course, paint a very different picture. NASA has just released its final 2018 data for its comprehensive global Land-Ocean Temperature Data set, and the data very clearly show that the planet is on a warming trajectory. Indeed, all five of the five hottest years on record have occurred in the past five years. Sure, there have been cold spells and winter storms during those years, but those are weather events, not climate trends. Indeed, climate change never predicted that there wouldn’t be cold winters or blizzards. Rather, the prediction always has been that the mean temperature will increase, along with other changes like increased floods in some areas, increased droughts in others, etc. (all of which are coming true).

Update 2020: 2019 was the second hottest year on record, so as of 2020, all 6 of the 6 hottest years on record occurred in the past 6 years.

Global average annual temperature anomalies from NASA’s global Land-Ocean Temperature Index data set (1951-1980 base period). I highlighted the 5 hottest years in red and 5 coldest years in blue.

If you are someone who doubts that the climate is actually warming, then I implore you to actually look at the data. Just look at it. The warming trend is so obvious. The 20 hottest years on record have all occurred within the past 22 years! That’s incredible. If the planet wasn’t actually warming, then a trend like that should not exist. We would expect really cold years and really hot years to be interspersed together, but what we actually see is all the really cold years clumped together a century ago and all the really hot years clumped together over the past two decades.

global warming cliamte change data history

Global average annual temperature anomalies from NASA’s global Land-Ocean Temperature Index data set (1951-1980 base period). I highlighted the 20 hottest years in red and 20 coldest years in blue.

Further, this pattern exists across data sets. For example, the HadCRUT4 dataset from the Hadley Center also shows that the past five years have been the five hottest on record. Some other data sets disagree slightly (usually with a year other than 2014 for the 5th hottest), but the overarching pattern is there, and the warming is undeniable.

But what about this notion of a global warming pause or hiatus? I wrote about that at length several years ago and explained that the only way to get a “pause” was to cherry-pick the data  set, cherry-pick the starting year, and ignore confounding factors, all of which is statistically invalid. You see, satellite measurements tend to be quite sensitive to factors like El Niños. So, to create the illusion of a pause, charlatans cherry-picked a satellite data set (the RSS/MSU dataset), then cherry-picked a starting year with a huge El Niño effect (1998). Thus, by cherry-picking an unreasonable and biased starting point, they could mask the real trend. Indeed, when you account for El Niños, even those cherry-picked dates and data sets show warming (Foster and Rahmstorf 2011). Multiple studies have looked at this and consistently found that there is no pause in climate change (Easterling and Wehner 2009; Santer et al. 2011; Lewandowsky et al. 2015a; Lewandowsky et al. 2015b; Lewandowsky et al. 2018).

Data from the RSS/MSU satellite data set (TTT). Notice the massive El Niño spike at 1998. Climate change deniers like to cherry pick that as the starting point for their claim that global warming has paused. When you look at the full data set, hopefully you can see why that is invalid cherry-picking. The full data set clearly shows a warming trend. These data are monthly.

Additionally, now that several years have passed since I last wrote about the pause, let’s take a look at where things stand now. Using the TTT MSU data set and 1998 as our starting year (as deniers like to do), and using only the average temperature per year, we find a positive trend with a P value of 0.066. In simplest terms, a P value is a probability that a result as great or greater than the observed result could arise by chance, and we typically determine significance with a largely arbitrary threshold of 0.05. Thus, although this trend is not statistically significant, it is pretty dang close with only a 6.6% chance that a result like that could arise by chance (many, like me, argue that 0.05 should not be treated as a magical threshold, but that is a debate for another time). Further, I need to point out again that this lack of significance is entirely because we cheated and cherry-picked our starting year. If we start with the data in 1997 instead of 1998, the trend is significant with P = 0.028. Similarly, starting in 1999 produces a significant result (P = 0.005). In other words, if you are going to try to cherry-pick dates and argue that there hasn’t been a significant warming trend since 1998, you also have to acknowledge that there has been a significant warming trend since 1997 as well as since 1999. Do you see why cherry-picking the starting year is ridiculous now? Finally, it is worth mentioning that the barely non-significant result in 1998 is also partially due to a lack of sample size. If you use the monthly data instead of the annual means, then even starting in 1998 you get a strongly significant warming trend (P < 0.001).

There are two strategies left that people use to try to get out of the fact that the climate is changing. The first is to say that the recent warming has all been from El Niños. There certainly have been strong El Niño effects at various points, but they cause clusters of years to spike, rather than the type of decades-long trend we are in. Further, as stated earlier, removing the El Niño effect from the data sets makes the warming trend stronger, not weaker (Foster and Rahmstorf 2011).

The second strategy is to argue that the models have all been wrong. This claim is false. Sure, you can find graphs online that purportedly show that the models have been wrong, but they all use the same type of dishonest techniques that I have been describing throughout this post. Actual scientific analyses that used proper statistical methods have consistently shown that the models have been accurate (Hansen et al. 2006; Frame and Stone 2012; Rahmstorf et al. 2012; Cowtan et al. 2015; Marotzke and Firster 2015; Lewandowsky et al. 2018). More details here.

In short, the planet is warming. This is an empirical fact that is borne out by every data set available. Anyone who claims otherwise is denying evidence. This is not a “hoax” or “liberal propaganda.” It is a fact, and you don’t have to take my word for it. Just look at the data. Just look at it. The trend is obvious. When you hear people make claims like, “the scientist’s predictions have all been wrong” or ask things like, “where is global warming?” they are displaying a willful ignorance of reality.

In closing, to anyone who doesn’t believe in global warming, I would like to know what it is going to take to convince you. What evidence would convince you that you are wrong? The arguments against climate change have been the same for decades, yet year after year more data is collected showing that climate change is real and caused by us, more temperature records are broken, more extreme weather events happen, etc. At what point are you going to be willing to accept that you are wrong?

Note: Although this is beyond the topic of this post, I will point out that we have extremely compelling evidence from thousands of studies showing that we are the cause behind this warming and it is already having dire consequences (details and sources here and here).

Related posts

Literature Cited

  • Cowtan et al. 2015. Robust comparison of climate models with observations using blended land air and ocean sea surface temperatures. Geophysical Research Letters 42:6526–6534.
  • Easterling and Wehner 2009. Is the climate warming or cooling? Geophysical Research Letters 36.
  • Foster and Rahmstorf 2011. Global temperature evolution 1979–2010. Environmental Research Letters 7:011002.
  • Frame and Stone 2012. Assessment of the first consensus prediction on climate change. Nature Climate Change 3:357–359.
  • Hansen et al. 2006. Global temperature change. Proceedings of the National Academy of Sciences 10314288–14293.
  • Lewandowsky et al. 2015a. On the definition and identifiability of the alleged hiatus in global warming. Scientific Reports 5: 16784.
  • Lewandowsky et al. 2015b. The “pause” in global warming: Turning a routine fluctuation into a problem for science. Bulletin of the American Meteorological Society 96:723–733.
  • Lewandowsky et al. 2018. The ‘pause’ in global warming in historical context: (II). Comparing models to observations. Environmental Research Letters
  • Marotzke and Firster 2015. Forcing, feedback and internal variability in global temperature trends. Nature 517:565–570.
  • Santer et al. 2011. Separating signal and noise in atmospheric temperature changes: The importance of timescale. Journal of Geophysical Research: Atmospheres 116.
  • Rahmstorf et al. 2012. Comparing climate projections to observations up to 2011. Environmental Research Letters 7:044035.
Posted in Global Warming | Tagged , | 1 Comment

Do Bt GMOs “make their own poison”? Only if you’re an insect

I frequently write about genetic engineering (GE) and genetically modified organisms (GMOs) on this blog, and I do that because GMOs are often misunderstood and villainized when, in reality, they have enormous benefits and a huge potential both for human health and protecting the environment. We can design them to have increased nutritional content (e.g., golden rice), to brown more slowly thus resulting in less food waste (e.g., arctic apples), to have reduced carcinogens thus lowering cancer risk (e.g., GMO potatoes), to be herbicide resistant thus increasing farming efficiency and reducing land use (e.g., Roundup-ready crops), to be resistant to insects thus reducing pesticide use (e.g., Bt GMOs), etc. Yet despite all these benefits, ill-founded arguments against GMOs abound.

In this post, I specifically want to talk about the Bt GMOs, because they are particularly beneficial. I’ve written about their benefits at length before, but, in short, because they produce their own insecticides rather than having to be sprayed with insecticides, implementing them results in a massive reduction in pesticide use (Shelton et al. 2002; Cattaneo 2006; Lu and Desneux 2012), increased crop yields (Shelton et al. 2002; Cattaneo 2006; Vitale et al. 2010), reduced impacts on non-target organisms (e.g., bees and butterflies; Marvier et al. 2007; Wolfenbarger et al. 2008; Comas et al. 2014), improved bio-diversity (Lu and Desneux 2012), and enormous economic benefits for farmers (Hutchison et al. 2010). Given all these advantages when compared to either traditional or organic farming, you’d think everyone would be onboard with Bt GMOs. After all, by far, the three most common anti-GMO arguments that I encounter are 1). GMOs increase pesticides, 2). GMOs are bad for biodiversity/bees/monarchs, and 3). GMOs are somehow bad for farmers. These arguments are problematic in general, but they are clearly blatantly false when it comes Bt GMOs. Nevertheless, Bt GMOs are villainized, often by arguing that they “obviously must be bad for human health since they produce their own poison.” This argument generally commits both an appeal to emotion fallacy and a common sense fallacy, but it is also indefensible scientifically, so I want to explain why it is a nonsense argument.

Note: Insecticides are simply  pesticides that target insects (herbicides are pesticides that target weeds, fungicides are pesticides that target fungi, etc.)

What is Bt toxin and how is it used?

To being understanding this topic, we need to take a step back and talk more generally about what Bt toxin is and how we have used it historically. It is a chemical (technically a group of chemicals) that is naturally produced by the bacterium Bacillus thuringiensis, and it is strongly insecticidal (i.e., it kills insects). When designing Bt GMOs, scientists took advantage of those insecticidal traits and modified the genes of various crops so that they too would produce Bt toxin. Thus, by expressing those genes, Bt GMOs can produce Bt toxin and kill any insects that try to eat them.

Using Bt toxin to control pests is, however, hardly new. It has been sprayed on crops as an insecticide for decades, including widespread use in organic farming (yes, organic farming does use pesticides, it just limits itself to “natural” pesticides). In other words, this is not something novel that was developed for GMOs. The chemical has been commonly used for decades and is extremely safe for humans (I’ll talk about why it is safe in a minute; Mendelsohn et al. 2003). Indeed, in some parts of the world it is even added to drinking water reservoirs to reduce the larvae of harmful insects like mosquitoes, and this is considered to be safe by the World Health Organization (WHO/IPCS. 1999). Further, its widespread use in traditional agriculture (especially organic agriculture) means that you are already exposed to this chemical in your food on a regular basis, and that is fine, because it’s safe for humans at anything but an insane dose. Indeed, its use is so prevalent, that one paper (Hammond and Koch 2012) concluded that,

“It seems likely that dietary exposure to functionally active Cry proteins from application of Bt microbial formulations to vegetables (shortly before harvest) could be similar to or even higher than dietary exposure from consumption of foods derived from Bt crops.”

In other words, you receive a similar exposure to Bt regardless of whether you eat GMOs or conventional/organic crops.

I wanted to take the time to go through all this to make it clear that Bt GMOs aren’t producing some mad science chemical that was concocted in a lab (not that such a chemical would automatically be dangerous). Rather, they are making use of a chemical that is already widely used and that you are already constantly exposed to. The only difference is that for regular crops, the chemical has to be sprayed on entire fields, which wastes time, money, and water, increases greenhouse gas emissions, and kills any non-target insects in the field. In contrast, Bt GMOs produce the chemical themselves, which means that farmers don’t need to use nearly as many pesticides and only insects that actually eat the crops (i.e., pests) are affected. All of that is obviously a huge advantage for Bt GMOs both environmentally and economically.

Bt is safe

At this point, you may legitimately be wondering how Bt toxin can simultaneously be lethal to insects at a very low dose, but safe for humans and anything but an unreasonably high dose. The answer is something known as host specificity. All animals are biochemical machines that run via chemical reactions, and “toxins” or “poisons” operate by either impeding reactions that should be happening or causing reactions that shouldn’t be happening. However, different groups of animals have different biochemistry, and the biochemistry of a mammal (like you and me) is quite different from the biochemistry of an insect. As a result, the chemical mechanisms through which Bt kills insects don’t occur in humans. To put that another way, the fact that something is a poison to insects doesn’t automatically mean that it is a poison to humans.

Without getting too technical, when Bt enters an insect’s digestive system, the alkaline environment causes it to release “Cry proteins.” These proteins bind chemically to specific receptors on the lining of the insect’s gut, which sets off a series of chemical reactions, ultimately resulting in the death of the insect. All of this is very specific to insects and simply cannot happen in humans. First, our stomachs are acidic, not alkaline. So, our stomachs largely degrade the Cry proteins rather than releasing them (Cao et al. 2010). Further, the Cry proteins that survive digestion still can’t do anything harmful because the guts of mammals lack the specific Cry protein-binding receptors that are found in insects (Noteborn et al. 1995). Additionally, even if the Cry proteins manage to bind with non-specific sites, the bond is generally weak and does not cause the damaging chemical reactions that occur in insects (Shimada et al. 2006).

All of this simply means that Bt is very safe in humans because the mode of action through which it kills insects can’t occur in humans. In other words, Bt has a high host specificity (i.e. it very specifically targets insects while being safe for mammals). Thus, when talking about humans, it is incorrect to say that Bt GMOs “make their own poison,” because Bt is not poisonous to humans (except at a ridiculous hypothetical dose). Indeed, we consume many things that are poisonous to other animals but safe for us (e.g., chocolate is poisonous to dogs, avocados are poisonous to parrots, etc.).

The conclusion that Bt is safe for humans has, of course, been borne out by numerous studies (reviewed in Hammond and Koch 2012; Hammond and Cockburn 2008). As is standard for toxicology studies, many of these used rat and mice models because our physiology is actually very similar to that of mice and rats, making them good models for understanding toxicity. These studies used crazy high doses (often 4000 mg/kg/day or more) that are way above what you would ever receive from eating GMO crops, and they still failed to find any adverse effects. To get that type of dose in your food from a Bt crop, you would have to eat several hundred thousand kilograms of produce a day (Hammond and Koch 2012)! It is, quite simply, not possible for you to eat enough vegetables to get anything even close to a dangerous dose of Bt. Even Jabba the Hutt on a vegetarian diet couldn’t achieve a toxic dose from eating Bt GMOs. Also, keep in mind, those absurd doses weren’t for LD50s; they were being used to look for any adverse effects and failed to find any. So the dose that actually starts to cause problems in humans is even higher than the already absurd doses being used in those studies.

Note: I’m assuming that Jabba the Hutt also lacks Cry protein-binding receptors. I’m not sure if that’s canon.

At this point, it should be obvious that the production of Bt toxin by Bt GMOs does not pose a health risk, because the toxicity of Bt to humans is so incredibly low. Nevertheless, multiple studies have looked at the effects of consuming Bt GMOs (rather than just Bt toxin), and, as you might have guessed, they did not find any evidence that that Bt GMOs are less nutritious than conventional crops, nor did they find any evidence that consuming Bt GMOs is harmful (even when consumed in large quantities, daily, for months at a time; Flachowsky et al. 2007; McNaughton et al. 2007; Schrøder et al. 2007; Scheideler et al. 2008; Yuan et al. 2013). Indeed, there is evidence that Bt GMOs are actually safer than their conventional/organic alternatives, because Bt GMOs have reduced mycotoxins (these come from fungi that like to live in holes made by insects; Pellegrino et al. 2018).

What about the microbiome?

At this point, I often find that people resort to speculation that the consumption of Bt could disrupt the gut microbiome. First, this argument is not exclusive to GMOs since, as explained earlier, you get Bt toxin for conventional and organic crops as well. Second, multiple studies have looked at the effects of Bt GMO consumption on the gut microbiome, and the results range from “no effect” to (paraphrasing) “slight effect that doesn’t appear to be harmful” (Einspanier et al. 2004; Wiedemann et al. 2007; Buzoianu, et al. 2012, 2013; Yuan et al. 2013). Keep in mind, just about everything affects the microbiome to some degree. So, the relevant question is not, “does it shift the microbiome” but rather, “does it shift it in a way that is harmful?” The evidence to date says that the answer to that question is, “no.”

What about gene transfer?

Another counter argument is that the real danger is that horizontal gene transfer will take place and the genes for Bt will end up either in our genome or the genome of some gut bacteria (horizontal gene transfer is where one organism incorporates another organism’s DNA into its own genome; it is basically nature making a transgenic GMO). This is a concern that I frequently hear about GMOs, and it is unmerited for numerous reasons. First, your digestive system does a pretty good job of ripping apart and degrading DNA. It’s not likely that entire genes will make it past the stomach (Rizzi, A. et al. 2012; Yuan et al. 2013). Second, even if they did, why should the one or two genes that we put into a GMO be more concerning than the millions of genes in everything you eat!? When you eat an apple, you ingest the entire genome of an apple (which includes things like genes for producing cyanide); yet I have never heard anyone express concern over horizontal gene transfer from an apple. So, this argument is completely disingenuous. Why should you be concerned about the genes for Bt in a GMO but not concerned about the genes for cyanide in an apple?

Further, Bacillus thuringiensis (the bacteria that we got the Bt genes from) is an extremely common environmental bacteria. I guarantee you that you have eaten that bacteria numerous times in your life. Further, other bacteria that you have ingested have surely been exposed to Bacillus thuringiensis before being ingested. In other words, there are plenty of opportunities for Bt horizontal gene transfer without GMOs, yet no one is concerned about them (with good reason). Like so many anti-GMO arguments, this line of reasoning holds GMOs to an extremely different standard than everything else. It’s just not a legitimate concern.

“But I don’t want poisons being produced inside me”

I’ve saved this one for last because it is, quite frankly, silly. Nevertheless, I do encounter it from time to time, so let’s talk about it. This argument asserts that what I have said about doses is wrong, because the crops will continue to produce Bt toxin while inside you (thus creating high doses). The problem with this is obviously that vegetables are not continuing to perform biological processes in your gut. They are dead, chewed up, and digested. This argument is like being worried that swallowing a seed will cause a tree to grow out of your stomach.

Conclusion

The argument that Bt GMOs are dangerous because they “make their own poison” is a nonsense argument. It appeals to emotions and the notion of common sense, rather than scientific evidence or logic. The reality is that Bt toxin is host specific, so while it is fatal to insects at even a very low dose, it is safe for humans at anything other than an absurdly high dose. Further, it has been used as a pesticide in both conventional and organic farming for decades, and the amount of Bt you are exposed to from Bt GMOs is very similar to the amount you are exposed to from regular crops. Bt GMOs have been extensively studied and are extremely safe. Even if you ate thousands of kilograms of produce a day, you still would not receive anything even close to a dangerous dose of Bt.

Finally, you don’t have to take my word for this. There is an extremely strong consensus on this topic in the scientific literature, and I have only cited a tiny handful of the available studies. Here are some literature reviews that are worth reading: WHO/IPCS. 1999, Betz et al. 2000, OECD. 2007, Hammond and Koch. 2012, Koch et al. 2015.

 Related posts

Suggested further reading

 Literature cited

  • Betz et al. 2000. Safety and advantages of Bacillus thuringiensis-protected plants to control insect pests. Regulatory Toxicology and Pharmacology 32:156 –173
  • Buzoianu, et al. 2012. The effect of feeding Bt MON810 maize to pigs for 110 days on intestinal microbiota. PLoS ONE 7:e33668
  • Buzoianu et al. 2013. Sequence-based analysis of the intestinal microbiota of sows and their offspring fed genetically modified Bt maize in a trans-generational study. Applied Environmental Microbiology
  • Cao et al. 2010. Safety assessment of Cry1C protein from genetically modified rice according to the national standards of PR China for a new food resource. Regulatory Toxicology and Pharmacology 58:474–481.
  • Cattaneo 2006. Farm-scale evaluation of the impacts of transgenic cotton on biodiversity, pesticide use, and yield. Proceedings of the Royal Academy of Sciences 103:7571–7576
  • Comas et al. 2014. No effects of Bacillus thuringiensis maize on nontarget organisms in the field in southern Europe: a meta-analysis of 26 arthropod taxa. Transgenic Research 23:135–143
  • Einspanier et al. 2004. Tracing residual recombinant feed molecules during digestion and rumen bacterial diversity in cattle fed transgene maize. European Food Research and Technology 218:269-273
  • Flachowsky et al. 2007. Studies on feeds from genetically modified plants (GMP)—Contributions to nutritional and safety assessment. Animal Feed Science and Technology 133:2–30
  • Hammond and Cockburn. 2008. The safety assessment of proteins introduced into crops developed through agricultural biotechnology: a consolidated approach to meet current and future needs. In: Hammond BG (ed) Food safety of proteins in agricultural biotechnology. CRC Press, New York
  • Hammond and Koch. 2012. A review of the food safety of Bt p305–325 in Bacillus thuringiensis Biotechnology. (Sansinenea ed.), Springer
  • Koch et al. 2015. The food and environmental safety of Bt Frontiers in Plant Science 6:283
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The concept of a “chemical-free lifestyle” is absurd

From Tim Minchin’s introduction to his brilliant song, “The Fence.”

Chemophobia is alive and well. It is difficult to get on the internet without celebrities, friends, and family members bombarding you with concerns about chemicals in your food, hygiene products, vaccines, etc. Indeed, being anti-chemical seems to be extremely fashionable at the moment, and you will often hear people talk about living a “chemical-free lifestyle” or trying to “avoid chemicals.” The problem is, of course, that everything is made of chemicals. Literally all matter is made of chemicals, and if you truly lived a chemical-free lifestyle, you would only live for a matter of minutes, after which you would die from a lack of oxygen.

I’ve written about this topic before, and I don’t want to spend this entire post belaboring the point, because it is a fundamental and basic fact of science that I shouldn’t have to explain. You are a biochemical machine that ingests and inhales chemicals (food, water, and air) and uses chemical processes to release energy from those chemicals so that the energy can be used to power your body. Everything you do is the result of chemical reactions. I could spend a long time explaining all of that in more detail, but for this post I want to focus on why it is important to understand that everything is made of chemicals and why we shouldn’t let people like the Food Babe get away with making claims like, “There is just no acceptable level of any chemical to ingest, ever.”

You see, when I point out the ridiculousness of trying to avoid chemicals, many people accuse me of pedantry and say that people who say that they are trying to avoid chemicals do know that everything is made of chemicals, they are just using the word chemical to mean “toxic” chemicals, or sometimes, “unnatural” or “synthetic” chemicals. Beyond the fact that they are distorting the definition of “chemical” to suit their own fears and biases, that response is very problematic, and I want to talk about why.

First, I’m not convinced that everyone is actually aware that everything is made of chemicals. Remember, the Food Babe was also concerned that airplane cabins didn’t have 100% oxygen, and she claimed that saying the words “Hitler” or “Satan” to water would change the water’s physical structure. So, at times we are clearly dealing with an extremely low level of scientific literacy and understanding.

Having said that, I can accept that most people probably do know that everything is made of chemicals, which brings me to my second and most important point. Using the word, “chemical” as shorthand for a “toxic” or “unnatural” or “dangerous” chemical creates a false dichotomy and fundamentally misrepresents chemistry. It ignores basic facts about chemistry, and in so doing, it dangerously misleads the public.

Let’s start with this notion of toxicity and assume that when someone says something like, “There is just no acceptable level of any chemical to ingest, ever” they really mean, “There is just no acceptable level of any toxic chemical to ingest, ever.” That statement is still fundamentally wrong, because the most basic concept of toxicology is that the dose makes the poison. There is no such thing as a “toxic” chemical; there are only toxic doses. Every chemical is toxic at a high enough dose and safe at a low enough dose. You can literally overdose on water if you drink too much of it in a short period of time. It is actually toxic to you at a high enough dose. Inversely, a few molecules of a chemical like cyanide won’t hurt you. Apple seeds contain cyanide, yet no one worries about accidentally ingesting one because the dose present in the seeds is far too small to be harmful to you. It’s not toxic at that dose. In other words, cyanide itself is not toxic to you as an organism. Rather, it becomes toxic at a high enough dose, just as water does.

As you can hopefully now see, even the concept of having a “[toxic] chemical-free lifestyle” is absurd, because all chemicals are toxic at a high enough dose. This concept proposes a simplistic false dichotomy between toxic chemicals and safe chemicals, while totally ignoring the fact that the dose is what makes something toxic. To be clear here, if you want to check the doses of chemicals present in your food, shampoo, etc., and also check the dose at which they become toxic to you, I have absolutely no problems with that, but that’s not what most people do. Rather, they view chemical toxicity as an entirely binary state. They view each chemical as either being toxic at any dose or safe at any dose, and they judge the safety of products merely by the presence or absence of a given chemical, rather than by looking at the dose. This simplistic view of toxicity is childish and dangerous.

Moving on, others use phrases like “chemical-free lifestyle” to mean a lifestyle that is free of “synthetic” or “unnatural” chemicals. This meaning is, however, even worse than the previous one. First, it once again assumes that chemicals can be placed into binary categories of “safe” or “not safe” without considering the dose. This is wrong. Both synthetic chemicals and natural chemicals have dose response curves. They are all toxic at high enough doses and safe at low enough doses.

This brings me to the second problem, namely, this argument is an appeal to nature fallacy. Nature is brutal and doesn’t give a crap about you. Nature will kill you in a million unpleasant ways, and the fact that something is “natural” tells you absolutely nothing about whether it is safe or beneficial. Remember earlier when we talked about cyanide? That’s a natural chemical. So is lead, aluminium, mercury, arsenic, formaldehyde, etc. Indeed, even if you lived in a pre-industrial society, you would naturally be exposed to most of these chemicals, and that would usually be fine, because they are all safe at low enough doses. The same thing is true when we talk about “synthetic” chemicals that scientists developed in laboratories. They are not inherently any more dangerous than a natural chemical. All chemicals are just combinations of atoms, and some of those combinations are only safe at very low doses while others are only dangerous at a very high doses, but all of them have a safe dose and a toxic dose. Where they originated is completely irrelevant.

As you can hopefully now see, statements about “chemical-free lifestyles” or “avoiding chemicals” aren’t wrong simply because everything is made of chemicals, but also because they represent a fundamental misunderstanding of chemistry and toxicology. These statements implicitly assume that some chemicals are always bad while others are always good, and that simply isn’t how chemistry works. The dose is what determines whether or not something is safe and chemophobia is irrational and misinformed. If someone tries to scare you about a chemical, ask them for the dose at which it is present in the item in question and the dose at which it becomes toxic. If they cannot answer both of those questions, then they either don’t know what they are talking about, or they are intentionally trying to mislead you.

Note for clarity: When I say that all matter is made of chemicals, I mean all matter at the atomic level and higher (obviously atoms themselves are made of subatomic particles).

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Acupuncture is just a placebo

acupuncture does not workAcupuncture is an extremely popular form of complementary alternative medicine (CAM) that has even worked its way into many “integrative” hospitals. It is also fiercely defended by its believers. Unfortunately, it is not well defended by actual evidence, so I want to talk about that evidence and explain why acupuncture is a placebo. As usual, my point here is not simply to talk about acupuncture, but also provide a lesson in how to critically read the scientific literature. Acupuncture has been studied literally thousands of times, and, as a result, the literature is a mess and it is very easy to cherry pick studies to fit whatever view you hold. Therefore, you need to critically assess the literature and apply appropriate logical and scientific tools to arrive at a good conclusion.

TL;DR

Acupuncture is based on pre-scientific mysticism. It is supposed to work via the manipulation of acupoints, but scientists have been unable to find evidence that acupoints actually exist (i.e., they are not physiologically distinguishable from other points on the body). Additionally, there is no known mechanism through which acupuncture could work. Nevertheless, thousands of tests have been conducted. Meta-analyses and systematic reviews of these tests are extremely inconsistent, with little agreement among them. Many analyses failed to find evidence that it is better than a placebo, while others found a significant difference. However, the positive results usually had very small effect sizes, suggesting that the results were not clinically significant and were likely statistical flukes. Further, these studies also documented a large placebo component to the treatments. Additionally, several studies have documented a positive bias in the literature, with higher quality studies tending to produce more negative results. This lack of mechanism, large number of negative results (especially from high quality studies), inconsistency among studies, and small effect sizes all indicate that acupuncture is nothing more than a placebo.

Purported benefits

What does acupuncture actually treat? According to its disciples, pretty much everything. According to the Center for Integrative Medicine it treats allergies, depression, dysentery, numerous forms of pain, stroke, nausea, morning sickness, headaches, labor difficulties, and multiple other conditions. They also say that it can probably treat acne, alcoholism, palsy, asthma, diabetes, infertility, herpes, schizophrenia, whooping cough, and a dizzying array of other ailments. Erectile dysfunction is, of course, also on the list, because no miracle cure would be complete without it (I wonder where the needles go for that one).

Whenever you see a list like this, huge red flags should go up. This type of list is one of the hallmarks of quack remedies (details here). It is simply not possible that a single treatment is going to cure everything from infectious disease to recovery from stroke. Now, you might try to get out of this by saying, “well, just because it doesn’t work on all of these doesn’t mean that it doesn’t work on any of them.” Technically, that is true, but how are you supposed to know which ones it works on, and why should you listen to the people promoting it when they are clearly trying to deceive you about at least some of its benefits? When someone says something like, “putting needles in your skin will cure your herpes” they have just lost all credibility, and you should not be getting medical advice or treatments from them. In other words, at the very least, these types of lists should make you very skeptical.

It is also worth mentioning that one of the problems with alternative medicine (including acupuncture) is that it tends to be poorly regulated, and practitioners get away with making outlandish claims that lack evidence to support them (something actual doctors can’t and don’t do; Ryan 2017).

Implausible mechanisms

Before we get to the literature itself, we need to lay some groundwork. Acupuncture is based on the pre-scientific notion that there is a life force (or energy) know as qi, and the correct flow and balance of this life force keeps you healthy. Acupuncture then “works” by inserting needles into “acupoints” along “meridians” of the body to cure diseases by correctly directing the flow and balance of qi. In other words, it’s magic. Any treatment that is based on the notion that diseases are caused by energy imbalances, blocked energy, etc. is pseudoscience, and should be rejected. You don’t have a “life force” and energy imbalances and blockages don’t make you sick. That’s pre-scientific malarkey.

Now you may be tempted to suggest that the people who developed the method “thousands” of years ago didn’t understand the mechanism and explained it with their pre-scientific superstitions, but the method does work, they were just wrong about the cause. That’s technically possible, but we’d need some pretty good evidence to conclude that it was true, and that’s where we quickly start running into problems. You see, meridians and acupuncture points aren’t real things (Ramey 2001). Their number and position changes based on who you talk to, and they don’t map to any reliable underlying physiological structure. Also, it is worth mentioning that acupuncture as we know it is probably not nearly as old as most people think.

Nevertheless, you can find many papers whose titles and abstracts seem to disagree with what I just said, but when you actually start looking into them, it quickly becomes clear that acupoints don’t exist. This is one of the fascinating things about the acupuncture literature. People seem to desperately want it to work, and the result is that there are hundreds of studies that spin fanciful tales without having that data to back them up.

Let me give you a few examples. Consider the paper “What is the acupoint? A preliminary review of acupoints” by Li et al. (2015). This paper acknowledges very early on that acupuncture points aren’t supported by evidence and aren’t distinguishable from other parts of the body.

“At present, there is no persuasive evidence for the existence of acupoints. For example, their location or number and the evidence from histological studies for acupoints are unconvincing.”

It sounds like we should be done at the point, right? But the authors continue, “This review focuses on the function of acupoints from different perspectives, which might explain what an acupoint.” [sic] In other words, “there is no evidence that these things are real, but we want them to be real, so we are going to go ahead and write an entire paper about them as if they are real.”

That’s not how science works, but there are tons of papers like that. Zhou and Benharash (2014) is another good example of this. Their paper was published in the Journal of Acupuncture and Meridian Studies, which, as you can imagine, is pretty heavily biased towards acupuncture (it’s a quack journal). Nevertheless, they stated, “These observations confirmed that there were no particular structures that were unique to acupoints.” This fact is reiterated numerous times in the paper. Yet despite this fact, they latch onto the observation that there are usually nerves near acupoints and spend the whole paper talking about hypothetical mechanisms as if they are established facts. It is true that you can usually find nerves near acupuncture points, but there are nerves just about everywhere in the body, so it’s not particularly interesting. If acupoints were real things that had medical relevance, then they should be distinct and physiologically identifiable, but they simply aren’t, and that’s a huge problem.

This brings me to my next major point. Despite thousands of studies being conducted on acupuncture, no one has been able to demonstrate a mechanism through which it works. Oh, there are tons of hypotheses, but no one has actually been able to convincingly demonstrate a mechanism, and that’s another problem. It’s a standard that we wouldn’t accept for pretty much any other form of treatment. Imagine that your doctor described a drug, and when you asked what the drug actually does, they said, “No one knows. Scientists have looked at it for years and can’t figure it out, but trust me, it totally works.” You’d probably be pretty skeptical about that drug.

Now, to be clear, having an established mechanism is not 100% necessary to demonstrate that something works. You could still do it with really convincing clinical trials, but, as I’ll explain in the next section, the level of evidence required is much higher.

Low prior probability

Prior probability is a very important concept in science that I have previously talked about at length. Briefly, it is the probability that a given result could be true given everything else that we know about the system in question. In other words, we already know a lot about the human body, chemistry, etc. As a result, before a given treatment is tested, we can have a pretty good idea of how likely it is that the treatment could actually work, and the more unlikely it is, the higher the evidence bar is going to be. This is very much in line with the saying that extraordinary claims require extraordinary evidence, and it is important because it is very easy to get spurious results from scientific tests. Therefore, you need to judge how confident you should be in those results. If a conclusion is implausible based on everything else we know, then we need really robust studies, large sample sizes, and large effect sizes before we can conclude that the result is real.

Now, let’s apply that to acupuncture. Here is the situation: it is based on pre-scientific superstition rather than medical knowledge, the acupoints that are fundamental to how it is supposed to work don’t actually exist, and there is no known mechanism through which it works. Indeed, if you just stop and think about it for a second, it is pretty implausible. How likely is it really that poking needles into the skin can relieve pain, cure infectious diseases, help with childbirth, treat gastrointestinal problems, etc.? It doesn’t make sense based on everything else that we know. Therefore, the prior probability is very, very low, which means that we need some extraordinary evidence to match these extraordinary claims.

As I said earlier, you could always acknowledge that most of these treatments are implausible (or even impossible), but still argue that some of them have a higher probability, and I will grant you that some are more plausible than others, particularly pain. It is conceivable to me that putting needles in the skin could have some form of neurological effect that might temporarily reduce pain, but it’s still not likely, and I still want some very strong evidence (especially given a lack of known mechanism).

What would it take to convince me?

I’m finally almost ready to start looking at the literature, but before I do that, I want to lay out exactly what it would take to convince me that acupuncture is actually an effective treatment. I find this to be a very helpful exercise that I encourage you all to undertake regularly.

First, I would need a very consistent body of evidence showing that it is better than a placebo. To be clear, when I say, “consistent” I don’t mean that every single study will agree. There will always be statistical noise and bad studies, but if it actually works, then it should be obvious when you look at the literature. There should be very wide-spread, obvious, and undeniable agreement among studies. Also, these studies need to be large and well controlled. Finally, it needs to have a large enough effect size that it is clear that it is a real effect, not a statistical fluke. In other words, it should be substantially better than a placebo (i.e., there should be an obvious clinical benefit). These criteria are very reasonable and appropriate, especially given the lack of mechanism and low prior probability.

The literature is a mess

The scientific literature testing acupuncture is a mess. There are always disagreeing studies in any field, and you can always find at least a few papers that argue for pretty much any position, but I have rarely seen such an incomprehensible mess. There are thousands of studies, a huge portion of which are terribly designed. Tons of them lack adequate controls, most of them are tiny (though there are exceptions), designs are extremely inconsistent with numerous methods being used and outcomes being measured, and biases and conflicts abound. Indeed, although there is a strong bias towards publishing positive results in general, it seems particularly dominant in acupuncture studies. As I said earlier, there are entire journals devoted to it. Plus, there are several acupuncture institutes that publish regularly, and it is well established studies from China (which accounts for much of the literature) are heavily biased and often involve inappropriate methods, inaccurate reporting, and biased reviews (Vickers et al. 1998; Wu et al. 2009; Ma et al. 2012; Wang et al. 2014). Indeed, studies from China (and other Asian countries) almost always report positive results, which is in stark contrast to studies from other countries. To put that another way, even for the conditions that have a prior probability of virtually zero (e.g., infectious diseases), China (and other Asian countries) are cranking out positive results that research groups in other countries can’t replicate.

This is all very disturbing, because it means that there are tons of bad studies out there, and the literature is very biased. Indeed, if you read the work of John P. A. Ioannidis, who has spent much of his career studying biases and problems in the scientific literature, you will find that the acupuncture literature matches pretty much every quality that he says to be cautious of. Here is a quote from the abstract of his famous paper, “Why most published research findings are false” (which I discussed here).

“In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater flexibility in designs, definitions, outcomes, and analytical modes; when there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance.”

Nearly all of those conditions are met by the acupuncture literature. Indeed, an admittedly older review of the literature found that three fourths of acupuncture studies were of low quality, and low quality was associated with positive results (Ezzo et al. 2000). I have been unable to find a more recent study that actually estimates the percent of studies that are of low quality, but Deng et al. (2015) discussed many biases and methodological problems that are prevalent in the acupuncture literature, Linde et al. (2010) found that larger more robust studies tended to have fewer positive results than smaller studies (thus suggesting that much of the acupuncture literature is false positives from small studies), and the massive Ernst et al. (2011) review of reviews reported many low-quality studies.

Further, there is one really important source of bias that almost all acupuncture studies have. Namely, they aren’t double-blind. The person administering the acupuncture usually knows if they are giving real acupuncture or a placebo (e.g., sham needles or toothpicks). This could easily bias the results in a positive direction. Indeed, as I’ll talk about in a minute, it is well established that there is a huge placebo component to acupuncture, so it is entirely possible that slight differences in the behavior of the person administering the treatment could bias the results.

Numerous studies show that acupuncture does not work

Despite all the problems with the literature, we can still attempt to weed out bad papers and look at the randomized controlled trials with the highest standards and most rigorous methods. Here again, however, there are thousands of randomized controlled trials. As a result, it is very easy to cherry-pick studies, and citing individual studies is pretty pointless. Therefore, I am going to focus on meta-analyses and systematic reviews and ask that you do likewise and refrain from flooding the comments with cherry-picked studies. I’ve explained the hierarchy of evidence in more detail previously, but in short, meta-analyses and systematic reviews are the highest forms of evidence because they either attempt to review all relevant papers on a topic (for systematic reviews) or combine the data sets of multiple papers and run new analyses on those combined data sets (for meta-analyses). This, in concept, allows them to see overarching trends rather than statistical noise.

So what do these studies find? First, I want to acknowledge that studies comparing acupuncture to no acupuncture do show a “benefit” of acupuncture. That is hardly surprising, however, because virtually any treatment is “better” than no treatment. That is how placebo effects work (Finniss et al. 2010), and it is why the medical and scientific community defines effectiveness as being better than a placebo. To put it simply, if you do a test of a sugar pill vs no sugar pill, you will find a “benefit” of the sugar pill. Does that mean that the sugar pill is actually biologically active and is doing something useful? No, it’s just a placebo.

Understanding placebos is important, because as I will demonstrate in a minute, acupuncture has a strong placebo component (indeed, that seems to be the entirety of its effects), but many of the studies on it did not use a placebo (which is usually something like a sham needle that doesn’t actually penetrate the skin or even a toothpick). Thus, many of the studies supporting acupuncture were not properly controlled and are, therefore, unreliable. In contrast, numerous studies that were controlled have found that sham (placebo) acupuncture is just as “effective” as regular acupuncture. You can literally poke someone with a toothpick and get the same response as actual acupuncture, which is pretty damning evidence against acupuncture (here is one such example just so you can see what a study like that looks like: Cherkin et al. 2009).

Now, on to the actual reviews and meta-analysis. I can show you numerous systematic reviews and meta-analyses that fail to find that acupuncture performs better than a placebo (i.e., acupuncture doesn’t work). For example: Linde et al. 2011 (migraine prophylaxis), Davis et al. 2008 (tension head-aches), Lee and Ernst 2005 (surgery-related pain), Lee et al. 2005 (cancer-associate pain), Mayhew and Ernst 2009 (fibromyalgia), Zhang et al. 2010 (depression), Kong et al. 2010 (recovery from stroke), Smith et al. 2013 (inducing labor), Lim et al. 2006 (irritable bowel syndrome), etc. I could keep going, but hopefully I have made my point (also, see this list of Cochrane Reviews which paints a very bleak picture regarding the usefulness of acupuncture).

Nevertheless, you will, admittedly, not find it difficult to find meta-analyses and reviews that argue that acupuncture is actually more than a placebo. So, which do we trust? There are several things to consider here. First, we need to keep the aforementioned biases in mind. Second, we need to look for consistency. You may remember that this was one of my criteria for being convinced that acupuncture really works. As you may have guessed, however, that consistency is nowhere to be found (Ernst 2006). This was one of the chief conclusions of a very large systematic review of systematic reviews regarding acupuncture and pain (Ernst et al. 2011). Take a look at the tables in that paper. The reviews are all over the map. Indeed, the only condition for which there was consistent positive evidence from multiple high-quality reviews was for neck pain.

This is not what we would expect if acupuncture actually works. If it actually works, studies should consistently find that it works, but that’s not what we see. This is, however, exactly what we would expect if it is nothing but a placebo. We would expect a situation like this where (by a combination of chance and biases) some conditions occasional achieve positive results, but there is no consistency. Indeed, the fact that neck pain was the only condition with consistent results is very damning. Really think about this. Does it actually make sense that acupuncture works for neck pain, but not other types of musculoskeletal pain? No. That strains credulity. An editorial in the journal Pain (Hall 2011) described this well when the author said,

“Ernst et al. point out that the positive studies conclude that acupuncture relieves pain in some conditions but not in other very similar conditions. What would you think if a new pain pill was shown to relieve musculoskeletal pain in the arms but not in the legs? The most parsimonious explanation is that the positive studies are false positives.”

The final thing that must be considered here is the importance of effect size. You may recall that I specified that acupuncture should have a large effect size, and that Ioannidis (2005) warned that studies with small effect sizes are often spurious false positives. Thus, we should be cautious about saying that something works if it only shows a very small benefit.

There are two key concepts here that need to be understood to really evaluate effect sizes. The first is that P values (which are used to establish statistical significance) are probabilities, and they are often abused. The P value is the probability of getting a result as large or larger than the one you observed if there isn’t actually a difference in your groups. In other words, it is the probability that a result like yours could arise by chance (this assumes no bias or flaws in your experimental design). In biology, we usually say that something is statistically significant if it has a P value less than 0.05. In other words, if there is less than a 5% chance that a result like yours could arise by chance. Having a clear cut off like that has value, but people often make the mistake of treating 0.05 as a magical number that divinely arbitrates truth. Thus, if something has a P value of 0.06, it gets dismissed as non-significant, and if it has a P value of 0.04, it is automatically treated as a real result. That approach is silly. You should not be much more confident in a 4% chance than a 6% chance. Therefore, rather than blindly following P values, you should also look at confidence intervals or some other measure of variation, the actual size of the effect you observed, the sample size, etc. You need all of these pieces of information to really understand the result.

The other important concept here is that statistical significance and clinical or biological significance are not the same thing. Any difference between two groups becomes statistically significant with a large enough sample size, but that may not have any actual clinical relevance. It may be a difference that is too small to have any practical value (I talked more about P values and statistical significance here and here).

When we apply these concepts to acupuncture studies, we find many very small effect sizes. In other words, even when meta-analyses found a significant difference between sham (placebo) acupuncture and real acupuncture, the “benefits” of real acupuncture were quite small, often to the point that they have no clinical significance. To their credit, some authors have done a good job of acknowledging this. For example, an often-cited review and meta-analysis of acupuncture for pain (Madsen et al. 2009) stated,

“A small analgesic effect of acupuncture was found, which seems to lack clinical relevance and cannot be clearly distinguished from bias. Whether needling at acupuncture points, or at any site, reduces pain independently of the psychological impact of the treatment ritual is unclear.”

A review and meta-analyses for fibromyalgia made a similar statement (Langhorst et al. 2010):

“A small analgesic effect of acupuncture was present, which, however, was not clearly distinguishable from bias. Thus, acupuncture cannot be recommended for the management of FMS”

Nevertheless, not all authors have been this honest about their results, and the acupuncture literature is full of studies with tiny effects but grand claims (again, people seem to really want acupuncture to work). I want to talk about one particular study which is emblematic of this problem: Vickers et al. (2012) “Acupuncture for Chronic Pain: Individual Patient Data Meta-analysis.” When it came out, this study was spread wide and far by the press and was touted as concrete evidence that acupuncture works. When you actually look at the study, however, the situation is quite different. Both Dr. Steven Novella at Science-Based Medicine and Orac at Science Blogs have gone over this paper in detail, so I will give the short version.

This meta-analysis showed two things. First, both actual acupuncture and sham (placebo) acupuncture were “better” than no acupuncture (again, consistent with a placebo effect). Second, there was a very slight, but statistically significant difference between sham acupuncture and actual acupuncture. Let me be clear about what I mean by “slight.” On a pain scale of 1–10, the “benefits” of acupuncture vs. sham acupuncture were 0.5. In other words, they were too small for people to actually notice. Do you honestly think you can distinguish between a pain of 5.5 and 6.0? I doubt it. Indeed, this has actually been studied, and a review of pain in arthritis studies (Stauffer et al. 2011) found that a minimum of 0.7 was required for patients to detect it (usually more). In other words, a difference of 0.5 is not detectable by patients and is not clinically significant. Further, that difference is so tiny that it is extremely likely that it could have resulted from biases, such as the fact that the trails were not double-blinded (i.e., the people administrating the acupuncture knew if they were giving a placebo or real acupuncture). It’s also worth mentioning that the study was conducted by the “Acupuncture Trialist’s Collaboration” so the authors had a fair amount of bias going into this.

Indeed, when you actually look at Vickers et al. (2012), it undeniably shows that almost the entire effect of acupuncture is from a placebo effect. Think about it, both sham and actual acupuncture had a large effect, but the difference between those two was imperceptibly small. In other words, the perceived benefits were due almost (if not entirely) to a placebo effect. Dr. Edzar Ernst, who has published many papers on acupuncture, stated,

“In my view, this meta-analysis is the most compelling evidence yet to demonstrate the ineffectiveness of acupuncture for chronic pain.”

 In the interest of fairness, the authors of the meta-analysis responded (Vickers et al. 2013), but their response is less than satisfactory. First, they do what many pseudoscientists do when criticized and incorrectly accuse their opponents of ad hominem attacks. They do eventually try to address the substance of the criticisms, but their rebuttals are less than convincing. For example, to address the argument that the slight difference could easily have been from a lack of blinding, they cited another paper by their group supposedly showing that acupuncture is better than sham acupuncture even when double-blinding is used (Irnich et al. 2002). At the risk of going down a side-tangent, I want to talk about this study for a second, because it once again nicely illustrates the type of shoddy science that is often used to support acupuncture.

To compare actual acupuncture with sham acupuncture in a double-blind design, one group received real acupuncture, while the other received lazer acupuncture (that’s a thing), but unknown to the administrator, the lazer’s bulb had been replace with a regular bulb that just made a red dot of light. This is not a good design for multiple reasons. First, using lazer acupuncture vs real acupuncture does not adequately blind patients, because in one treatment they feel pressure from a needle, and in the other, they don’t. Further, the fake lazer emitted a noise, thus making the different treatments obvious to patients. This is an awful design. To make things even worse, the person operating the lazer was always different from the person administering the actual acupuncture. Thus, the treatments were completely confounded with the person administering them, making the results impossible to interpret. It is entirely possible that the ones giving actual acupuncture simply had better bed-side manners, and that resulted in the difference (indeed, that seems likely, since they had years of experience, whereas the guy with the lazer wasn’t even certified). The point that I am trying to make here is that this is the type of evidence that people use to defend acupuncture. This type of garbage is the best that they have, and the fact that they think it is good evidence clearly reveals their biases.

Now, maybe you haven’t been convinced by any of this. Maybe you really desperately want acupuncture to work, and therefore you reject my arguments that the disagreement in the literature is a problem. If that is the case, then the best you could possibly say, with a really generous interpretation of the literature, is that there is wide-spread disagreement among studies, there are only a handful of afflictions with reasonably consistent results, and even for those, the benefits are so small that most people won’t notice them. Indeed, even the studies that argued that real acupuncture is better than sham acupuncture also found that almost the entire difference between acupuncture and no acupuncture could be explained by a placebo effect.

That is simply not compelling evidence, especially given the lack of mechanism and lack of evidence for even the existence of acupoints!

Think about it this way. Imagine for a second that we are talking about a pharmaceutical instead of acupuncture. Would you really take a drug if there was no known mechanism through which it could work, the physiological apparatus that it was supposed to interact with didn’t exist, there were numerous studies showing that it was no more than a placebo, and even the studies that argued that it works found such a tiny effect that you probably wouldn’t notice it? Would you honestly think that evidence was compelling?

Side effects

I want to quickly point out that acupuncture is not without side effects (Ernst et al. 2011; Xu et al. 2013). To be clear, most side effects are minor, but serious ones do occur, including organ trauma and even death. Your odds of having a serious problem are admittedly quite low, but why take the risk for something that is just a placebo? All actions have risk, and you need to weigh the risks against the benefits. In this case, the risk is admittedly low, but the benefit is non-existent (it’s a placebo), so why take the risk?

Counter arguments

Before I conclude this post, I want to briefly address some of the more common responses to posts like this (please don’t waste my time in the comments with arguments I’ve already addressed).

Anecdotes

This is probably the most common response. People “know” that it works, because they tried it and felt better. Anecdotes are not, however, good evidence of causation. As I have explained at length, you probably felt better because of a placebo effect. Indeed, saying “I did X, then felt better, therefore X works” is a logical fallacy known as post hoc ergo propter hoc. It is not valid reasoning (details on why anecdotes aren’t good evidence here and here).

“It’s been used for thousands of years, so it must work”

This is known as an appeal to antiquity fallacy. The fact that something was used for a very long time does not mean it works. For example, tobacco was used medicinally for centuries before we found out that it is very harmful. Similarly, leeches, bloodletting, and countless other insane treatments were used for very long periods of time before being abandoned. I honestly don’t understand why people think this is a good argument. The fact that acupuncture predates science is an argument against it, not for it. Also, it is worth mentioning that China had actually largely abandoned acupuncture until gullible westerners took an interest in it.

“But some hospitals and doctors recommend it”

This is a form of the appeal to authority fallacy. For one thing, there are also many who agree that it is bunk. Additionally, in recent years there has been a disturbing infiltration of quack treatments into hospitals, medical schools, and medical organizations (largely driven by public demand for those treatments). This does not, however, validate those methods. For example, my university recently opened a healing touch clinic. Does that mean that there is actually good scientific evidence for magical healing touch therapies? No, it means my university figured out how to make more money from gullible people. You need actual evidence to show that something works, and as I have shown, that evidence does not exist for acupuncture (note a popular publication by WHO touting the benefits of acupuncture is often cited as evidence, but that publication was retracted in 2014 because it wasn’t based on evidence).

“A placebo effect is still an effect”

This argument asserts that even if acupuncture is just a placebo effect, it still helps people. It would take me an entire post to explain the problems with this in detail, but, here are some highlights. First, this argument is inane. Saying that something works as long as it produces a placebo effect makes no sense. It disregards fundamental concepts about how we conduct research and define effectiveness. Indeed, it is nothing more than a cop-out to dismiss a lack of evidence for a treatment that someone wants to believe in.

Second, this argument proposes that doctors should lie to their patients about the effectiveness of treatments that don’t actually work. That is a huge violation of ethical practices.

Finally, this argument misunderstands placebo effects, because they cover far more than simply thinking that you are going to get better, and it is not at all clear that placebos are worth much on their own. Dr. David Gorski at Science-Based Medicine explains all of this in more detail.

What’s the harm?

At this point in a post like this, many people fall back on simply asking, “what’s the harm? Does it really hurt anything if people want to believe in and use acupuncture?”

Yes, it does. For one thing, as stated previously, acupuncture does have adverse effects, including (rarely) death. Second, people may be inclined to use acupuncture instead of treatments that actually work. Third, I believe strongly in the benefits of knowledge, and continuing to act as if this pre-scientific hogwash is real and beneficial is antithetical to the goal of progressing our knowledge and understanding of the universe. This brings me to my final point: because the public wants acupuncture to be true and keeps spending money on acupuncture, scientists keep studying it. We have now wasted untold millions of dollars and decades of research on studying a treatment that doesn’t work. Imagine if all that time and money had been spent improving cancer treatments, studying neurological disorders, designing better anti-viral drugs, etc. There are so many better ways to spend that money, yet each year, millions more are wasted studying this placebo. That is a problem.

Conclusion

I will end with the quote from Friends of Science in Medicine’s review of acupuncture which summed things up better than I could,

“Acupuncture has been studied for decades and the evidence that it can provide clinical benefits continues to be weak and inconsistent. There is no longer any justification for more studies. There is already enough evidence to confidently conclude that acupuncture doesn’t work. It is merely a theatrical placebo based on pre-scientific myths. All health care providers who accept that they should base their treatments on scientific evidence whenever credible evidence is available, but who still include acupuncture as part of their health interventions, should seriously revise their practice. There is no place for acupuncture in Medicine.”

Related posts on evaluating the scientific literature 

 Suggested further reading 

Literature cited

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