“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.
With the start of a new semester, I have gotten a bit behind on my blogging. But, since I am working on a book on rhetorical devices, I have an easy solution; here is an example from the book:
When I was a kid, people bought used cars. These days, people buy fine pre-owned vehicles. There is (usually) no difference between the meanings of “used car” and “pre-owned” car—both refer to the same thing, namely a car someone else has owned and used. However, “used” sounds a bit nasty, perhaps suggesting that the car might be a bit sticky in places. By substituting “pre-owned” for “used”, the car sounds somehow better, although it is the same car whether it is described as used or pre-owned.
If you need to make something that is negative sound positive without actually making it better, then a euphemism would be your tool of choice. A euphemism is a pleasant or at least inoffensive word or phrase that is substituted for a word or phrase that means the same thing but is unpleasant, offensive otherwise negative in terms of its connotation. To use an analogy, using a euphemism is like coating a bitter pill with sugar, making it easier to swallow.
Euphemisms and some other rhetorical devices make use of the fact that words or phrases have connotations as well as denotations. Put a bit simply, the denotation of a term is the literal meaning of the term. The connotation of the term is its emotional association. Terms can have the same denotation but very different connotations. For example “child” and “rug rat” have rather different emotional associations.
The way to use a euphemism is to replace the key words or phrases that are negative in their connotation with those that are positive (or at least neutral). Naturally, it helps to know what the target audience regards as positive words, but generically positive words can do the trick quite well.
The defense against a euphemism is to replace the positive term with a neutral term that has the same meaning. For example, for “an American citizen was inadvertently neutralized during a drone strike”, the neutral presentation would be “An American citizen was killed during a drone strike.” While “killed” does have a negative connotation, it does describe the situation with more neutrality.
In some cases, euphemisms are used for commendable reasons, such as being polite in social situations or to avoid exposing children to “adult” concepts. For example, at a funeral it is considered polite to refer the dead person as “the departed” rather than “the corpse.”
“Pre-owned” for “used.”
“Neutralization” for “killing.”
“Freedom fighter” for “terrorist”
“Revenue enhancement” for “tax increase.”
“Down-sized” for “fired.”
“Between jobs” for “unemployed.”
“Passed” for “dead.”
“Office manager” for “secretary.”
“Custodian” for “janitor.”
“Detainee” for “prisoner.”
“Enhanced interrogation” for “torture.”
“Self-injurious behavior incidents” for “suicide attempts.”
“Adult entertainment” or “adult material” for “pornography.”
“Sanitation engineer” for “garbage man.”
“Escort”, “call girl”, or “lady of the evening” for “prostitute.”
“Gentlemen’s club” for “strip club.”
“Exotic dancer” for “stripper”
“A little thin on top” for “bald.”
“In a family way” for “pregnant.”
“Sleeping with” for “having sex with.”
“Police action” for “undeclared war.”
“Downsized” for “fired.”
“Wardrobe malfunction” for “exposure.”
“Commandeer” for “steal.”
“Modify the odds in my favor” for “cheat.”
One of the stereotypes regarding teenagers is that they are poor decision makers and engage in risky behavior. This stereotype is usually explained in terms of the teenage brain (or mind) being immature and lacking the reasoning abilities of adults. Of course, adults often engage in poor decision-making and risky behavior.
Interestingly enough, there is research that shows teenagers use basically the same sort of reasoning as adults and that they even overestimate risks (that is, regard something as more risky than it is). So, if kids use the same processes as adults and also overestimate risk, then what needs to be determined is how teenagers differ, in general, from adults.
Currently, one plausible hypothesis is that teenagers differ from adults in terms of how they evaluate the value of a reward. The main difference, or so the theory goes, is that teenagers place higher value on rewards (at least certain rewards) than adults. If this is correct, it certainly makes sense that teenagers are more willing than adults to engage in risk taking. After all, the rationality of taking a risk is typically a matter of weighing the (perceived) risk against the (perceived) value of the reward. So, a teenager who places higher value on a reward than an adult would be acting rationally (to a degree) if she was willing to take more risk to achieve that reward.
Obviously enough, adults also vary in their willingness to take risks and some of this difference is, presumably, a matter of the value the adults place on the rewards relative to the risks. So, for example, if Sam values the enjoyment of sex more than Sally, then Sam will (somewhat) rationally accept more risks in regards to sex than Sally. Assuming that teenagers generally value rewards more than adults do, then the greater risk taking behavior of teens relative to adults makes considerable sense.
It might be wondered why teenagers place more value on rewards relative to adults. One current theory is based in the workings of the brain. On this view, the sensitivity of the human brain to dopamine and oxytocin peaks during the teenage years. Dopamine is a neurotransmitter that is supposed to trigger the “reward” mechanisms of the brain. Oxytocin is another neurotransmitter, one that is also linked with the “reward” mechanisms as well as social activity. Assuming that the teenage brain is more sensitive to the reward triggering chemicals, then it makes sense that teenagers would place more value on rewards. This is because they do, in fact, get a greater reward than adults. Or, more accurately, they feel more rewarded. This, of course, might be one and the same thing—perhaps the value of a reward is a matter of how rewarded a person feels. This does raise an interesting subject, namely whether the value of a reward is a subjective or objective matter.
Adults are often critical of what they regard as irrationally risk behavior by teens. While my teen years are well behind me, I have looked back on some of my decisions that seemed like good ideas at the time. They really did seem like good ideas, yet my adult assessment is that they were not good decisions. However, I am weighing these decisions in terms of my adult perspective and in terms of the later consequences of these actions. I also must consider that the rewards that I felt in the past are now naught but faded memories. To use the obvious analogy, it is rather like eating an entire good cake. At the time, that sugar rush and taste are quite rewarding and it seems like a good idea while one is eating that cake. But once the sugar rush gives way to the sugar crash and the cake, as my mother would say, “went right to the hips”, then the assessment might be rather different. The food analogy is especially apt: as you might well recall from your own youth, candy and other junk food tasted so good then. Now it is mostly just…junk. This also raises an interesting subject worthy of additional exploration, namely the assessment of value over time.
Going back to the cake, eating the whole thing was enjoyable and seemed like a great idea at the time. Yes, I have eaten an entire cake. With ice cream. But, in my defense, I used to run 95-100 miles per week. Looking back from the perspective of my older self, that seems to have been a bad idea and I certainly would not do that (or really enjoy doing so) today. But, does this change of perspective show that it was a poor choice at the time? I am tempted to think that, at the time, it was a good choice for the kid I was. But, my adult self now judges my kid self rather harshly and perhaps unfairly. After all, there does seem to be considerable relativity to value and it seems to be mere prejudice to say that my current evaluation should be automatically taken as being better than the evaluations of the past.
While Ebola outbreaks are not new, the latest outbreak has provided some important lessons. These lessons are actually nothing new, but the outbreak does provide a focus for discussing them.
The first lesson is that most people are very bad at risk assessment. In the Ebola hot spots it is reasonable to be worried about catching Ebola. It is also reasonable to be concerned about the situation in general. However, many politicians, pundits and citizens in the United States are greatly overestimating the threat presented by Ebola in the United States. There are only a few cases of Ebola in the United States and the disease is, the experts claim, difficult to catch. As such, the chance that an American will catch Ebola in the United States is extremely low. It is also a fact Ebola outbreaks have been contained before in countries with far less medical resources than the United States. So, while it is prudent to prepare, the reaction to Ebola has greatly exceeded its actual threat in the United States. If the concern is with protecting Americans from disease and death, there are far more serious health threats that should be the primary focus of our concern and resources.
The threat of Ebola is overestimated for a variety of reasons. One is that people are rather susceptible to the fallacy of misleading vividness. This a fallacy in which a very small number of particularly dramatic events are taken to outweigh a significant amount of statistical evidence. This sort of “reasoning” is fallacious because the mere fact that an event is particularly vivid or dramatic does not make the event more likely to occur, especially in the face of significant statistical evidence. Ebola is indeed scary, but the chance of infection in the United States is extremely low.
Another reason is that people are also susceptible to a variation on the spotlight fallacy. This variant involves inferring the probability that something will happen based on how often you hear about it, rather than based on how often it actually occurs. Ebola has infected the 24 hour news cycle and hearing about it so often creates the psychological impression that infection is likely.
As I have consistently argued, threats should be assessed realistically and the response should be proportional to the actual threat.
The second lesson is that the politicians, media and pundits will exploit scary things for their own advantages. The media folks know that scary stories and fear mongering get viewers, so they are exploiting Ebola to the detriment of the public. Ebola has been made into a political issue, so the politicians and pundits are trying to exploit it for political points. The Republicans are using it as part of their narrative that Obama is an incompetent president and thus are emphasizing the matter. Obama and the Democrats have to strike back in order to keep the Republicans from scoring points. As with the media, the politicians and pundits are exploiting Ebola for their own advantage at the expense of the public.
This willful misleading and exaggeration is clearly morally wrong on the grounds that it misleads the public and makes a rational and proportional response to the problem more difficult.
The third lesson is that people will propose extreme solutions without considering the consequences of those solutions. One example is the push to shutdown air travel between the United States and countries experiencing the Ebola outbreak. While this seems intuitively appealing, one main consequence would be that people would still come to the United States from those countries, only they would do so in more roundabout ways. This would make it much harder to track such people and would, ironically, put the United States at greater risk.
As always, solutions should be carefully considered in terms of their consequences, costs and other relevant factors.
The final lesson I will consider is that the situation shows that health is a public good and not just a private good. While most people get that defense and police are public goods, there is the view that health is a private good and something that should be left to the individual to handle. That is, the state should protect the citizen from terrorists and criminals, but she is on her own when it comes to disease and injury. However, as I have argued elsewhere at length, if the state is obligated to protect its citizens from death and harm, this should also apply to disease and injury. After all, disease will kill a person just as effectively as a terrorist’s bomb or a criminal’s bullet.
Interestingly, even many Republicans are pushing for a state response to Ebola. I suspect that one reason Ebola is especially frightening is that it is a disease that comes from outside the United States and was brought by a foreigner. This taps into fears that have been carefully and lovingly crafted during the war on terror and this helps explain why even anti-government people are pushing for government action.
But, if the state has a vital role to play in addressing Ebola, then it would seem to have a similar role to play in regards to other medical threats. While Ebola is scary and foreign, it is a medical threat and thus is like other medical threats. However, consistency is not a strong trait in most people, so some who cry for government action against the Ebola that scares them also cry out against the state playing a role in protecting Americans from things that kill vastly more Americans.
The public health concern also extends beyond borders—diseases do not recognize political boundaries. While there are excellent moral reasons for being concerned about the health of people in other countries, there are also purely pragmatic reasons. One is that in a well-connected world diseases can travel quickly all over the globe. So, an outbreak in Africa can spread to other countries. Another is that the global economy is impacted by outbreaks. So, an outbreak in one country can impact the economy of other countries. As such, there are purely selfish reasons to regard health as public good.