During a recent discussion, I was asked if I believed that a person who holds to the pro-life position must be a misogynist. While there are misogynists who are pro-life, I hold to what should be obvious: there is no necessary connection between being pro-life and being a misogynist. A misogynist hates women, while a person who holds a pro-life position believes that abortion is morally wrong. There is no inconsistency between holding the moral position that abortion is wrong and not being a hater of women. In fact, a pro-life person could have a benevolent view towards all living beings and be morally opposed to harming any of them—thus including zygotes and women.
While misogynists would tend to be anti-choice because of their hatred of women, they need not be pro-life. That is, hating women and wanting to deny them the choice to have an abortion does not entail that a person believes that abortion is morally wrong. For example, a misogynist could be fine with abortion (such as when it is convenient to him) but think that it should be up to the man to decide if or when a pregnancy is terminated. A misogynist might even be pro-choice for various reasons; but almost certainly not because he is a proponent of the rights of women. As such, there is no necessary connection between the two views.
The discussion then turned to the question of whether or not a pro-choice position is a cover for misogyny. The easy and obvious answer is that sometimes it is and sometimes it is not. Since it has been established that a person can be pro-life without being a misogynist, it follows that being pro-life need not be a cover for misogyny. However, it can obviously provide cover for such a position. It is rather easier to sell the idea of restricting abortion by making a moral case against it than by expressing hatred of women and a desire to restrict their choices and reproductive option. Before progressing with the discussion it is rather important to address two points.
The first point is that even if it is established that a pro-life/anti-abortion person is a misogynist, this does not entail that the person’s position on the issue of abortion is in error. To reject a misogynist’s claims or arguments regarding abortion (or anything) on the grounds that he is a misogynist is to commit a circumstantial ad hominem.
This sort of Circumstantial ad Hominem involves substituting an attack on a person’s circumstances (such as the person’s religion, political affiliation, ethnic background, etc.) for reasons against her claim. This version has the following form:
- Person A makes claim X.
- Person B makes an attack on A’s circumstances.
- Therefore X is false.
A Circumstantial ad Hominem is a fallacy because a person’s circumstances (religion, political affiliation, etc.) do not affect the truth or falsity of the claim. This is made quite clear by the following example: “Bill claims that 1+1 =2. But he is a Republican, so his claim is false.” As such, to assert that the pro-life position is in error because some misogynist holds that view would be an error in reasoning.
A second important point is that a person’s consistency or lack thereof in regards to her principles or actions has no relevance to the truth of her claims or the strength of her arguments. To think otherwise is to fall victim to the ad hominem tu quoque fallacy. This fallacy is committed when it is concluded that a person’s claim is false because 1) it is inconsistent with something else a person has said or 2) what a person says is inconsistent with her actions. This type of “argument” has the following form:
- Person A makes claim X.
- Person B asserts that A’s actions or past claims are inconsistent with the truth of claim X.
- Therefore X is false.
The fact that a person makes inconsistent claims does not make any particular claim he makes false (although of any pair of inconsistent claims only one can be true—but both can be false). Also, the fact that a person’s claims are not consistent with his actions might indicate that the person is a hypocrite but this does not prove his claims are false.
A person’s inconsistency also does not show that the person does not believe her avowed principle—she might simply be ignorant of its implications. That said, such inconsistency could be evidence of hypocrisy. While sorting out a person’s actual principles is not relevant to logical assessment of the person’s claims, doing so is clearly relevant to many types of decision making regarding the person. One area where sorting out a person’s principles matters is in voting. In the next essay, this matter will be addressed.
After Cecil the Lion was shot, the internet erupted in righteous fury against the killer. Not everyone was part of this eruption and some folks argued against feeling bad for Cecil—some accusing the mourners of being phonies and pointing out that lions kill people. What really caught my attention, however, was the use of a common tactic—to “refute” those condemning the killing of Cecil by asserting that these “lion lovers” do not get equally upset about the fetuses killed in abortions.
When HitchBOT was destroyed, a similar sort of response was made—in fact, when I have written about ethics and robots (or robot-like things) I have been subject to criticism on the same grounds: it is claimed that I value robots more than fetuses and presumably I have thus made some sort of error in my arguments about robots.
Since I find this tactic interesting and have been its target, I thought it would be worth my while to examine it in a reasonable and (hopefully) fair way.
One way to look at this approach is to take it as the use of the Consistent Application method, which is as follows. A moral principle is consistently applied when it is applied in the same way to similar beings in similar circumstances. Inconsistent application is a problem because it violates three commonly accepted moral assumptions: equality, impartiality and relevant difference.
Equality is the assumption that those that moral equals must be treated as such. It also requires that those that are not morally equal be treated differently.
Impartiality is the assumption that moral principles must not be applied with partiality. Inconsistent application would involve non-impartial application.
Relevant difference is a common moral assumption. It is the view that different treatment must be justified by relevant differences. What counts as a relevant difference in particular cases can be a matter of great controversy. For example, while many people do not think that gender is a relevant difference in terms of how people should be treated other people think it is very important. This assumption requires that principles be applied consistently.
The method of Consistent Application involves showing that a principle or standard has been applied differently in situations that are not relevantly different. This allows one to conclude that the application is inconsistent, which is generally regarded as a problem. The general form is as follows:
Step 1: Show that a principle/standard has been applied differently in situations that are not adequately different.
Step 2: Conclude that the principle has been applied inconsistently.
Step 3 (Optional): Require that the principle be applied consistently.
Applying this method often requires determining the principle the person/group is using. Unfortunately, people are not often clear in regards to what principle they are actually using. In general, people tend to just make moral assertions and leave it to others to guess what their principles might be. In some cases, it is likely that people are not even aware of the principles they are appealing to when making moral claims.
Turning now to the cases of the lion, the HitchBOT and the fetus consistent application could be applied as follows:
Step 1: Those who are outraged at the killing of the lion are using the principle that the killing of living things is wrong. Those outraged at the destruction of HitchBOT are using the principle that helpless things should not be destroyed. These people are not outraged by abortions in general and the Planned Parenthood abortions in particular.
Step 2: The lion and HitchBOT mourners are not being consistent in their application of the principle since fetuses are helpless (like HitchBOT) and living things (like Cecil the lion).
Step 3 (Optional): Those mourning for Cecil and HitchBOT should mourn for the fetuses and oppose abortion in general and Planned Parenthood in particular.
This sort of use of Consistent Application is quite appealing and I routinely use the method myself. For example, I have argued (in a reverse of this situation) that people who are anti-abortion should also be anti-hunting and that people who are fine with hunting should also be morally okay with abortion.
As with any method of arguing, there are counter methods. In the case of this method, there are three general reasonable responses. The first is to admit the inconsistency and stop applying the principle in an inconsistent manner. This obviously does not defend against the charge but can be an honest reply. People, as might be imagined, rarely take this option.
A second way to reply and one that is an actual defense is to dissolve the inconsistency by showing that the alleged inconsistency is merely apparent. The primary way to do this is by showing that there is a relevant difference in the situation. For example, someone who wants to be morally opposed to the shooting of Cecil while being morally tolerant of abortions could argue that the adult lion has a moral status different from the fetus—one common approach is to note the relation of the fetus to the woman and how a lion is an independent entity. The challenge lies in making a case for the relevance of the difference.
A third way to reply is to reject the attributed principle. In the situation at hand, the assumption is that a person is against killing the lion simply because it is alive. However, that might not be the principle the person is, in fact, using. His principle might be based on the suffering of a conscious being and not on mere life. In this case, the person would be consistent in his application.
Naturally enough, the “new” principle is still subject to evaluation. For example, it could be argued the suffering principle is wrong and that the life principle should be accepted instead. In any case, this method is not an automatic “win.”
An alternative interpretation of this tactic is to regard it as an ad homimen: An ad Hominem is a general category of fallacies in which a claim or argument is rejected on the basis of some irrelevant fact about the author of or the person presenting the claim or argument. Typically, this fallacy involves two steps. First, an attack against the character of person making the claim, her circumstances, or her actions is made (or the character, circumstances, or actions of the person reporting the claim). Second, this attack is taken to be evidence against the claim or argument the person in question is making (or presenting). This type of “argument” has the following form:
- Person A makes claim X.
- Person B makes an attack on person A.
- Therefore A’s claim is false.
The reason why an ad Hominem (of any kind) is a fallacy is that the character, circumstances, or actions of a person do not (in most cases) have a bearing on the truth or falsity of the claim being made (or the quality of the argument being made).
In the case of the lion, the HitchBOT and the fetus, the reasoning can be seen as follows:
- Person A claims that killing Cecil was wrong or that destroying HitchBOT was wrong.
- Person B notes that A does not condemn abortions in general or Planned Parenthood’s abortions in particular.
- Therefore A is wrong about Cecil or HitchBOT.
Obviously enough, a person’s view of abortion does not prove or disprove her view about the ethics of the killing of Cecil or HitchBOT (although a person can, of course, be engaged in inconsistency or other errors—but these are rather different matters).
A third alternative is that the remarks are not meant as an argument, either the reasonable application of a Consistent Application criticism or the unreasonable attack of an ad homimen. In this case, the point is to assert that the lion lovers and bot buddies are awful people or, at best, misguided.
The gist of the tactic is, presumably, to make these people seem bad by presenting a contrast: these lion lovers and bot buddies are broken up about lions and trashcans, but do not care about fetuses—what awful people they are.
One clear point of concern is that moral concern is not a zero-sum game. That is, regarding the killing of Cecil as wrong and being upset about it does not entail that a person thus cares less (or not at all) about fetuses. After all, people do not just get a few “moral tokens” to place such that being concerned about one misdeed entails they must be unable to be concerned about another. Put directly, a person can condemn the killing of Cecil and also condemn abortion.
The obvious response is that there are people who are known to condemn the killing of Cecil or the destruction of HitchBOT and also known to be pro-choice. These people, it can be claimed, are morally awful. The equally obvious counter is that while it is easy to claim such people are morally awful, the challenge lies in showing that they are actually awful. That is, that their position on abortion is morally wrong. Noting that they are against lion killing or bot bashing and pro-choice does not show they are in error—although, as noted above, they could be challenged on the grounds of consistency. But this requires laying out an argument rather than merely juxtaposing their views on these issues. This version of the tactic simply amounts to asserting or implying that there is something wrong with the person because one disagree with that person. But a person thinking that hunting lions or bashing bots is okay and that abortion is wrong, does not prove that the opposing view is in error. It just states the disagreement.
Since the principle of charity requires reconstructing and interpreting arguments in the best possible way, I endeavor to cast this sort of criticism as a Consistent Application attack rather than the other two. This approach is respectful and, most importantly, helps avoid creating a straw man of the opposition.
The murder of nine people in the Emanuel AME Church in South Carolina ignited an intense discussion of race and violence. While there has been near-universal condemnation of the murders, some people take effort to argue that these killings are part of a broader problem of racism in America. This claim is supported by reference to the well-known history of systematic violence against blacks in America as well as consideration of data from today. Interestingly, some people respond to this approach by asserting that more blacks are killed by blacks than by whites. Some even seem obligated to add the extra fact that more whites are killed by blacks than blacks are killed by whites.
While these points are often just “thrown out there” without being forged into part of a coherent argument, presumably the intent of such claims is to somehow disprove or at least diminish the significance of claims regarding violence against blacks by whites. To be fair, there might be other reasons for bringing up such claims—perhaps the person is engaged in an effort to broaden the discussion to all violence out of a genuine concern for the well-being of all people.
In cases in which the claims about the number of blacks killed by blacks are brought forth in response to incidents such as the church shooting, this tactic appears to be a specific form of a red herring. This fallacy in which an irrelevant topic is presented in order to divert attention from the original issue. The basic idea is to “win” an argument by leading attention away from the argument and to another topic.
This sort of “reasoning” has the following form:
- Topic A is under discussion.
- Topic B is introduced under the guise of being relevant to topic A (when topic B is actually not relevant to topic A).
- Topic A is abandoned.
In the case of the church shooting, the pattern would be as follows:
- The topic of racist violence against blacks is being discussed, specifically the church shooting.
- The topic of blacks killing other blacks is brought up.
- The topic of racist violence against blacks is abandoned in favor of focusing on blacks killing other blacks.
This sort of “reasoning” is fallacious because merely changing the topic of discussion hardly counts as an argument against a claim. In the specific case at hand, switching the topic to black on black violence does nothing to address the topic of racist violence against blacks.
While the red herring label would certainly suffice for these cases, it is certainly appealing to craft a more specific sort of fallacy for cases in which something bad is “countered” by bringing up another bad. The obvious name for this fallacy is the “two bads fallacy.” This is a fallacy in which a second bad thing is presented in response to a bad thing with the intent of distracting attention from the first bad thing (or with the intent of diminishing the badness of the first bad thing).
This fallacy has the following pattern:
- Bad thing A is under discussion.
- Bad thing B is introduced under the guise of being relevant to A (when B is actually not relevant to A in this context).
- Bad thing A is ignored, or the badness of A is regarded as diminished or refuted.
In the case of the church shooting, the pattern would be as follows:
- The murder of nine people in the AME church, which is bad, is being discussed.
- Blacks killing other blacks, which is bad, is brought up.
- The badness of the murder of the nine people is abandoned, or its badness is regarded as diminished or refuted.
This sort of “reasoning” is fallacious because the mere fact that something else is bad does not entail that another bad thing thus has its badness lessened or refuted. After all, the fact that there are worse things than something does not entail that it is not bad. In cases in which there is not an emotional or ideological factor, the poorness of this reasoning is usually evident:
Sam: “I broke my arm, which is bad.”
Bill: “Well, some people have two broken arms and two broken legs.”
Joe: “Yeah, so much for your broken arm being bad. You are just fine. Get back to work.”
What seems to lend this sort of “reasoning” some legitimacy is that comparing two things that are bad is relevant to determining relative badness. If a person is arguing about how bad something is, it is certainly reasonable to consider it in the context of other bad things. For example, the following would not be fallacious reasoning:
Sam: “I broke my arm, which is bad.”
Bill: “Some people have two broken arms and two broken legs.”
Joe: “That is worse than one broken arm.”
Sam: “Indeed it is.”
Joe: “But having a broken arm must still suck.”
Sam: “Indeed it does.”
Because of this, it is important to distinguish between cases of the fallacy (X is bad, but Y is also bad, so X is not bad) and cases in which a legitimate comparison is being made (X is bad, but Y is worse, so X is less bad than Y, but still bad).
As part of my critical thinking class, I cover the usual topics of credibility and experiments/studies. Since people often find critical thinking a dull subject, I regularly look for real-world examples that might be marginally interesting to students. As such, I was intrigued by John Bohannon’s detailed account of how he “fooled millions into thinking chocolate helps weight loss.”
Bohannon’s con provides an excellent cautionary tale for critical thinkers. First, he lays out in detail how easy it is to rig an experiment to get (apparently) significant results. As I point out to my students, a small experiment or study can generate results that seem significant, but really are not. This is why it is important to have an adequate sample size—as a starter. What is also needed is proper control, proper selection of the groups, and so on.
Second, he provides a clear example of a disgraceful stain on academic publishing, namely “pay to publish” journals that do not engage in legitimate peer review. While some bad science does slip through peer review, these journals apparently publish almost anything—provided that the fee is paid. Since the journals have reputable sounding names and most people do not know which journals are credible and which are not, it is rather easy to generate a credible seeming journal publication. This is why I cover the importance of checking sources in my class.
Third, he details how various news outlets published or posted the story without making even perfunctory efforts to check its credibility. Not surprisingly, I also cover the media in my class both from the standpoint of being a journalist and being a consumer of news. I stress the importance of confirming credibility before accepting claims—especially when doing so is one’s job.
While Bohannon’s con does provide clear evidence of problems in regards to corrupt journals, uncritical reporting and consumer credulity, the situation does raise some points worth considering. One is that while he might have “fooled millions” of people, he seems to have fooled relative few journalists (13 out of about 5,000 reporters who subscribe to the Newswise feed Bohannon used) and these seem to be more of the likes of the Huffington Post and Cosmopolitan as opposed to what might be regarded as more serious health news sources. While it is not known why the other reporters did not run the story, it is worth considering that some of them did look at it critically and rejected it. In any case, the fact that a small number of reporters fell for a dubious story is hardly shocking. It is, in fact, just what would be expected given the long history of journalism.
Another point of concern is the ethics of engaging in such a con. It is possible to argue that Bohannon acted ethically. One way to do this is to note that using deceit to expose a problem can be justified on utilitarian grounds. For example, it seems morally acceptable for a journalist or police officer to use deceit and go undercover to expose criminal activity. As such, Bohannon could contend that his con was effectively an undercover operation—he and his fellows pretended to be the bad guys to expose a problem and thus his deceit was morally justified by the fact that it exposed problems.
One obvious objection to this is that Bohannon’s deceit did not just expose corrupt journals and incautious reporters. It also misinformed the audience who read or saw the stories. To be fair, the harm would certainly be fairly minimal—at worst, people who believed the story would consume dark chocolate and this is not exactly a health hazard. However, intentionally spreading such misinformation seems morally problematic—especially since story retractions or corrections tend to get far less attention than the original story.
One way to counter this objection is to draw an analogy to the exposure of flaws by hackers. These hackers reveal vulnerabilities in software with the stated intent of forcing companies to address the vulnerabilities. Exposing such vulnerabilities can do some harm by informing the bad guys, but the usual argument is that this is outweighed by the good done when the vulnerability is fixed.
While this does have some appeal, there is the concern that the harm done might not outweigh the good done. In Bohannon’s case it could be argued that he has done more harm than good. After all, it is already well-established that the “pay to publish” journals are corrupt, that there are incautious journalists and credulous consumers. As such, Bohannon has not exposed anything new—he has merely added more misinformation to the pile.
It could be countered that although these problems are well known, it does help to continue to bring them to the attention of the public. Going back to the analogy of software vulnerabilities, it could be argued that if a vulnerability is exposed, but nothing is done to patch it, then the problem should be brought up until it is fixed, “for it is the doom of men that they forget.” Bohannon has certainly brought these problems into the spotlight and this might do more good than harm. If so, then this con would be morally acceptable—at least on utilitarian grounds.
“The unquantified life is not worth living.”
While the idea of quantifying one’s life is an old idea, one growing tech trend is the use of devices and apps to quantify the self. As a runner, I started quantifying my running life back in 1987—that is when I started keeping a daily running log. Back then, the smartest wearable was probably a Casio calculator watch, so I kept all my records on paper. In fact, I still do—as a matter of tradition.
I use my running log to track my distance, running route, time, conditions, how I felt during the run, the number of time I have run in the shoes and other data I feel like noting at the time. I also keep a race log and a log of my yearly mileage. So, like Ben Franklin, I was quantifying before it became cool. Like Ben, I have found this rather useful—looking at my records allows me to form hypotheses regarding what factors contribute to injury (high mileage, hill work and lots of racing) and what results in better race times (rest and speed work). As such, I am sold on the value of quantification—at least in running.
In addition to my ORD (Obsessive Running/Racing Disorder) I am also a nerdcore gamer—I started with the original D&D basic set and still have shelves (and now hard drive space) devoted to games. In the sort of games I play the most, such as Pathfinder, Call of Cthulu and World of Warcraft the characters are fully quantified. That is, the character is a set of stats such as strength, constitution, dexterity, hit points, and sanity. Such games also feature sets of rules for the effects of the numbers as well as clear optimization paths. Given this background in gaming, it is not surprising that I see the quantified self as an attempt by a person to create, in effect, a character sheet for herself. That is, to see all her stats and to look for ways to optimize this character that is a model of the self. As such, I get the appeal. Naturally, as a philosopher I do have some concerns about the quantified self and how that relates to the qualities of life—but that is a matter for another time. For now, I will focus on a brief critical look at the quantified self.
Two obvious concerns about the quantified data regarding the self (or whatever is being measured) are questions regarding the accuracy of the data and questions regarding the usefulness of the data. To use an obvious example about accuracy, there is the question of how well a wearable really measures sleep. In regards to usefulness, I wonder what I would garner from knowing how long I chew my food or the frequency of my urination.
The accuracy of the data is primarily a technical or engineering problem. As such, accuracy problems can be addressed with improvements in the hardware and software. Of course, until the data is known to be reasonably accurate, then it should be regarded with due skepticism.
The usefulness of the data is partially a subjective matter. That is, what counts as useful data will vary from person to person based on their needs and goals. For example, knowing how many steps I have taken at work is probably not useful data for me—since I run about 60 miles per week, that little amount of walking is most likely insignificant in regards to my fitness. However, someone who has no other exercise might find such data very useful. As might be suspected, it is easy to be buried under an avalanche of data and a serious challenge for anyone who wants to make use of the slew of apps and devices is to sort out the data that would actually be useful from the thousands or millions of data bits that would not be useful.
Another area of obvious concern is the reasoning applied to the data. Some devices and apps supply raw data, such as miles run or average heartrate. Others purport to offer an analysis of the data—that is, to engage in automated reasoning regarding the data. In any case, the user will need to engage in some form of reasoning to use the data.
In philosophy, the two main basic tools in regards to personal causal reasoning are derived from Mill’s classic methods. One method is commonly known as the method of agreement (or common thread reasoning). Using this method involves considering an effect (such as poor sleep or a knee injury) that has occurred multiple times (at least twice). The basic idea is to consider the factor or factors that are present each time the effect occurs and to sort through them to find the likely cause (or causes). For example, a runner might find that all her knee issues follow times when she takes up extensive hill work, thus suggesting the hill work as a causal factor.
The second method is commonly known as the method of difference. Using this method requires at least two situations: one in which the effect in question has occurred and one in which it has not. The reasoning process involves considering the differences between the two situations and sorting out which factor (or factors) is the likely cause. For example, a runner might find that when he does well in a race, he always gets plenty of rest the week before. When he does poorly, he is always poorly rested due to lack of sleep. This would indicate that there is a connection between the rest and race performance.
There are, of course, many classic causal fallacies that serve as traps for such reasoning. One of the best known is post hoc, ergo propter hoc (after this, therefore because of this). This fallacy occurs when it is inferred that A causes B simply because A is followed by B. For example, a person might note that her device showed that she walked more stairs during the week before doing well at a 5K and simply infer that walking more stairs caused her to run better. There could be a connection, but it would take more evidence to support that conclusion.
Other causal reasoning errors include the aptly named ignoring a common cause (thinking that A must cause B without considering that A and B might both be the effects of C), ignoring the possibility of coincidence (thinking A causes B without considering that it is merely coincidence) and reversing causation (taking A to cause B without considering that B might have caused A). There are, of course, the various sayings that warn about poor causal thinking, such as “correlation is not causation” and these tend to correlate with named errors in causal reasoning.
People obviously vary in their ability to engage in causal reasoning and this would also apply to the design of the various apps and devices that purport to inform their users about the data they gather. Obviously, the better a person is at philosophical (in this case causal) reasoning, the better she will be able to use the data.
The takeaway, then, is that there are at least three important considerations regarding the quantification of the self in regards to the data. These are the accuracy of the data, the usefulness of the data, and the quality of the reasoning (be it automated or done by the person) applied to the data.
Interested in playing a Fallacy game? My 42 Fallacies have been transformed into a game. The link is http://dontfallacy.me/
I’m not associated with the game, other than their use of my fallacies.
While some countries will pay ransoms to free hostages, the United States has a public policy of not doing this. Thanks to ISIS, the issue of whether ransoms should be paid to terrorists groups or not has returned to the spotlight.
One reason to not pay a ransom for hostages is a matter of principle. This principle could be that bad behavior should not be rewarded or that hostage taking should be punished (or both).
One of the best arguments against paying ransoms for hostages is both a practical and a utilitarian moral argument. The gist of the argument is that paying ransoms gives hostage takers an incentive to take hostages. This incentive will mean that more people will be taken hostage. The cost of not paying is, of course, the possibility that the hostage takers will harm or kill their initial hostages. However, the argument goes, if hostage takers realize that they will not be paid a ransom, they will not have an incentive to take more hostages. This will, presumably, reduce the chances that the hostage takers will take hostages. The calculation is, of course, that the harm done to the existing hostages will be outweighed by the benefits of not having people taken hostage in the future.
This argument assumes, obviously enough, that the hostage takers are primarily motivated by the ransom payment. If they are taking hostages primarily for other reasons, such as for status, to make a statement or to get media attention, then not paying them a ransom will not significantly reduce their incentive to take hostages. This leads to a second reason to not pay ransoms.
In addition to the incentive argument, there is also the funding argument. While a terrorist group might have reasons other than money to take hostages, they certainly benefit from getting such ransoms. The money they receive can be used to fund additional operations, such as taking more hostages. Obviously enough, if ransoms are not paid, then such groups do lose this avenue of funding which can impact their operations. Since paying a ransom would be funding terrorism, this provides both a moral a practical reason not to pay ransoms.
While these arguments have a rational appeal, they are typically countered by a more emotional appeal. A stock approach to arguing that ransoms should be paid is the “in their shoes” appeal. The method is very straightforward and simply involves asking a person whether or not she would want a ransom to be paid for her (or a loved one). Not surprising, most people would want the ransom to be paid, assuming doing so would save her (or her loved one). Sometimes the appeal is made explicitly in terms of emotions: “how would you feel if your loved one died because the government refuses to pay ransoms?” Obviously, any person would feel awful.
This method does have considerable appeal. The “in their shoes” appeal can be seem similar to the golden rule approach (do unto others as you would have them do unto you). To be specific, the appeal is not to do unto others, but to base a policy on how one would want to be treated in that situation. If I would not want the policy applied to me (that is, I would want to be ransomed or have my loved one ransomed), then I should be morally opposed to the policy as a matter of consistency. This certainly makes sense: if I would not want a policy applied in my case, then I should (in general) not support that policy.
One obvious counter is that there seems to be a distinction between what a policy should be and whether or not a person would want that policy applied to herself. For example, some universities have a policy that if a student misses more than three classes, the student fails the course. Naturally, no student wants that policy to be applied to her (and most professors would not have wanted it applied to them when they were students), but this hardly suffices to show that the policy is wrong. As another example, a company might have a policy of not providing health insurance to part time employees. While the CEO would certainly not like the policy if she were part time, it does not follow that the policy must be a bad one. As such, policies need to be assessed not just in terms of how a persons feels about them, but in terms of their merit or lack thereof.
Another obvious counter is to use the same approach, only with a modification. In response to the question “how would you feel if you were the hostage or she were a loved one?” one could ask “how would you feel if you or a loved one were taken hostage in an operation funded by ransom money? Or “how would you feel if you or a loved one were taken hostage because the hostage takers learned that people would pay ransoms for hostages?” The answer would be, of course, that one would feel bad about that. However, while how one would feel about this can be useful in discussing the matter, it is not decisive. Settling the matter rationally does require considering more than just how people would feel—it requires looking at the matter with a degree of objectivity. That is, not just asking how people would feel, but what would be right and what would yield the best results in the practical sense.
The United States recently saw an outbreak of the measles (644 cases in 27 states) with the overwhelming majority of victims being people who had not been vaccinated. Critics of the anti-vaccination movement have pointed to this as clear proof that the movement is not only misinformed but also actually dangerous. Not surprisingly, those who take the anti-vaccination position are often derided as stupid. After all, there is no evidence that vaccines cause the harms that the anti-vaccination people refer to when justifying their position. For example, one common claim is that vaccines cause autism, but this seems to be clearly untrue. There is also the fact that vaccinations have been rather conclusively shown to prevent diseases (though not perfectly, of course).
It is, of course, tempting for those who disagree with the anti-vaccination people to dismiss them uniformly as stupid people who lack the brains to understand science. This, however, is a mistake. One reason it is a mistake is purely pragmatic: those who are pro-vaccination want the anti-vaccination people to change their minds and calling them stupid, mocking and insulting them will merely cause them to entrench. Another reason it is a mistake is that the anti-vaccination people are not, in general, stupid. There are, in fact, grounds for people to be skeptical or concerned about matters of health and science. To show this, I will briefly present some points of concern.
One point of rational concern is the fact that scientific research has been plagued with a disturbing amount of corruption, fraud and errors. For example, the percentage of scientific articles retracted for fraud is ten times what it was in 1975. Once lauded studies and theories, such as those driving the pushing of antioxidants and omega-3, have been shown to be riddled with inaccuracies. As such, it is hardly stupid to be concerned that scientific research might not be accurate. Somewhat ironically, the study that started the belief that vaccines cause autism is a paradigm example of bad science. However, it is not stupid to consider that the studies that show vaccines are safe might have flaws as well.
Another matter of concern is the influence of corporate lobbyists on matters relating to health. For example, the dietary guidelines and recommendations set forth by the United States Government should be set on the basis of the best science. However, the reality is that these matters are influenced quite strongly by industry lobbyists, such as the dairy industry. Given the influence of the corporate lobbyists, it is not foolish to think that the recommendations and guidelines given by the state might not be quite right.
A third point of concern is the fact that the dietary and health guidelines and recommendations undo what seems to be relentless and unwarranted change. For example, the government has warned us of the dangers of cholesterol for decades, but this recommendation is being changed. It would, of course, be one thing if the changes were the result of steady improvements in knowledge. However, the recommendations often seem to lack a proper foundation. John P.A. Ioannidis, a professor of medicine and statistics at Stanford, has noted “Almost every single nutrient imaginable has peer reviewed publications associating it with almost any outcome. In this literature of epidemic proportions, how many results are correct?” Given such criticism from experts in the field, it hardly seems stupid of people to have doubts and concerns.
There is also the fact that people do suffer adverse drug reactions that can lead to serious medical issues and even death. While the reported numbers vary (one FDA page puts the number of deaths at 100,000 per year) this is certainly a matter of concern. In an interesting coincidence, I was thinking about this essay while watching the Daily Show on Hulu this morning and one of my “ad experiences” was for Januvia, a diabetes drug. As required by law, the ad mentioned all the side effects of the drug and these include some rather serious things, including death. Given that the FDA has approved drugs with dangerous side effects, it is hardly stupid to be concerned about the potential side effects from any medicine or vaccine.
Given the above points, it would certainly not be stupid to be concerned about vaccines. At this point, the reader might suspect that I am about to defend an anti-vaccine position. I will not—in fact, I am a pro-vaccination person. This might seem somewhat surprising given the points I just made. However, I can rationally reconcile these points with my position on vaccines.
The above points do show that there are rational grounds for taking a general critical and skeptical approach to matters of health, medicine and science. However, this general skepticism needs to be properly rational. That is, it should not be a rejection of science but rather the adoption of a critical approach to these matters in which one considers the best available evidence, assesses experts by the proper standards (those of a good argument from authority), and so on. Also, it is rather important to note that the general skepticism does not automatically justify accepting or rejecting specific claims. For example, the fact that there have been flawed studies does not prove that the specific studies about vaccines as flawed. As another example, the fact that lobbyists influence the dietary recommendations does not prove that vaccines are harmful drugs being pushed on Americans by greedy corporations. As a final example, the fact that some medicines have serious and dangerous side effects does not prove that the measles vaccine is dangerous or causes autism. Just as one should be rationally skeptical about pro-vaccination claims one should also be rationally skeptical about anti-vaccination claims.
To use an obvious analogy, it is rational to have a general skepticism about the honesty and goodness of people. After all, people do lie and there are bad people. However, this general skepticism does not automatically prove that a specific person is dishonest or evil—that is a matter that must be addressed on the individual level.
To use another analogy, it is rational to have a general concern about engineering. After all, there have been plenty of engineering disasters. However, this general concern does not warrant believing that a specific engineering project is defective or that engineering itself is defective. The specific project would need to be examined and engineering is, in general, the most rational approach to building stuff.
So, the people who are anti-vaccine are not, in general, stupid. However, they do seem to be making the mistake of not rationally considering the specific vaccines and the evidence for their safety and efficacy. It is quite rational to be concerned about medicine in general, just as it is rational to be concerned about the honesty of people in general. However, just as one should not infer that a friend is a liar because there are people who lie, one should not infer that a vaccine must be bad because there is bad science and bad medicine.
Convincing anti-vaccination people to accept vaccination is certainly challenging. One reason is that the issue has become politicized into a battle of values and identity. This is partially due to the fact that the anti-vaccine people have been mocked and attacked, thus leading them to entrench and double down. Another reason is that, as argued above, they do have well-founded concerns about the trustworthiness of the state, the accuracy of scientific studies, and the goodness of corporations. A third reason is that people tend to give more weight to the negative and also tend to weigh potential loss more than potential gain. As such, people would tend to give more weight to negative reasons against vaccines and fear the alleged dangers of vaccines more than they would value their benefits.
Given the importance of vaccinations, it is rather critical that the anti-vaccination movement be addressed. Calling people stupid, mocking them and attacking them are certainly not effective ways of convincing people that vaccines are generally safe and effective. A more rational and hopefully more effective approach is to address their legitimate concerns and consider their fears. After all, the goal should be the health of people and not scoring points.