Central to our American mythology is the belief a person can rise to the pinnacle of success from the depths of poverty. While this does happen, poverty presents an undeniable obstacle to success. Tales within this myth of success present an inconsistent view of poverty: the hero is praised for overcoming the incredible obstacle of poverty while it is also claimed that anyone with gumption should be able to succeed. The achievement is thus claimed to be heroic yet easy and expected.
Outside of myths, poverty is difficult to overcome. There are the obvious challenges of poverty. For example, a person born into poverty will not have the same educational opportunities as the affluent. As another example, they will have less access to technology such as computers and high-speed internet. As a third example, there are the impacts of diet and health care. These necessities are expensive, and the poor have less access to good food and good care. There is also research by scientists such as Kimberly G. Noble that suggests a link between poverty and brain development.
While the most direct way to study the impact of poverty and the brain is by imagining the brain, this is expensive. However, research shows a correlation between family income and the size of some surface areas of the cortex. For children whose families make under $50,000 per year, there is a strong correlation between income and the surface area of the cortex. While greater income is correlated with greater cortical surface area, the apparent impact is reduced once the income exceeds $50,000 a year. This suggests, but does not prove, that poverty has a negative impact on the development of the cortex and this impact is proportional to the degree of poverty.
Because of the cost of direct research on the brain, most research focuses on cognitive tests that indirectly test the brain. Children from lower income families perform worse than their more affluent peers in their language skills, memory, self-control and focus. This performance disparity cuts across ethnicity and gender.
As would be expected, there are individuals who do not conform to this general correlation and there are children from disadvantaged families who perform well on the tests and children from advantaged families who do poorly. Knowing the economic class of a child does not automatically reveal what their individual capabilities are. However, there is a correlation in terms of populations rather than individuals. This needs to be remembered when assessing anecdotes of successful rising from poverty. As with all appeals to anecdotal evidence, they do not outweigh statistical evidence.
To use an analogy, boys tend to be stronger than girls but knowing that Sally is a girl does not mean that Sally is certainly weaker than Bob the boy. An anecdote about how Sally is stronger than Bob also does not show that girls are stronger than boys; it just shows that Sally is unusual in her strength. Likewise, if Sally lives in poverty but does exceptionally well on the cognitive tests and has a normal cortex, this does not prove that poverty does not have a negative impact on the brain. This leads to the question as to whether poverty is a causal factor in brain development.
As the saying goes, correlation is not causation. To infer that because there is a correlation between poverty and cognitive abilities then there must be a causal connection would be to fall victim to a causal fallacy. One possibility is that the correlation is a mere coincidence and there is no causal connection. Another possibility is that there is a third factor that is causing both and poverty and the cognitive abilities are both effects.
There is also the possibility that the causal connection has been reversed. That is, it is not poverty that increases the chances a person has less cortical surface (and corresponding capabilities). Rather, it is having less cortical surface area that is a causal factor in poverty.
This view does have some appeal. As noted above, children in poverty tend to do worse on tests for language skills, memory, self-control and focus. These are the capabilities that are useful for success, and people who are less capable will tend to be less successful. Unless, of course, they are simply born into “success.” To use an analogy, there is a correlation between running speed and success in track races. It is not losing races that makes a person slow. It is being slow that causes a person to lose races.
Despite the appeal of this interpretation, to rush to the conclusion that it is cognitive abilities that cause poverty would be as much a fallacy as just rushing to the conclusion that poverty must influence brain development. Both views appear plausible, and it is possible that causation is going in both directions. The challenge is to sort the causation. The obvious approach is to conduct the controlled experiment suggested by Noble: providing an experimental group of low-income families with an income supplement and providing the control group with a relatively tiny supplement. If the experiment is conducted properly and the sample size is large enough, the results would be statistically significant and provide an answer to the question of the causal connection.
Intuitively, it makes sense that an adequate family income would have a positive impact on the development of children. After all, adequate income would allow access to adequate food, care and education. It would also tend to have a positive impact on family conditions, such as emotional stress. This is not to say that just “throwing money at poverty” is a cure all; but reducing poverty is a worthwhile goal regardless of its connection to brain development. If it does turn out that poverty does have a negative impact on development, then those who claim to be concerned with the well-being of children should be motivated to combat poverty. It would also serve to undercut another American myth, that the poor are stuck in poverty simply because they are lazy. If poverty has the damaging impact on the brain it seems to have, then this would help explain why poverty is such a trap.

While slavery is still practiced around the world, it is now broadly seen as evil. While apologists for slavery are relatively few, there remains the question as to why slavery is evil.
The term “robot” and the idea of a robot rebellion were introduced by Karel Capek in Rossumovi Univerzální Roboti. “Robot” is derived from the Czech term for “forced labor” which was itself based on a term for slavery. Robots and slavery are thus linked in science-fiction. This leads to a philosophical question: can a machine be a slave? Sorting this matter out requires an adequate definition of slavery followed by determining whether the definition can fit a machine.
A common theme of dystopian science fiction is the enslavement of humanity by machines. Emma Goldman, an anarchist philosopher, also feared human servitude to the machines. In one of her essays on anarchism, she asserted that:
This is the last of the virtual cheating series and the focus is on virtual people. The virtual aspect is easy enough to define; these are entities that exist entirely within the realm of computer memory and do not exist as physical beings in that they lack bodies of the traditional sort. They are, of course, physical beings in the broad sense, existing as data within physical memory systems.
While science fiction has speculated about robot-human sex and romance, current technology offers little more than sex dolls. In terms of the physical aspects of sexual activity, the development of more “active” sexbots is an engineering problem; getting the machinery to perform properly and in ways that are safe for the user (or unsafe, if that is what one wants). Regarding cheating, while a suitably advanced sexbot could actively engage in sexual activity with a human, the sexbot would not be a person and hence the standard definition of cheating (as discussed in the previous essays) would not be met. This is because sexual activity with such a sexbot would be analogous to using any other sex toy (such as a simple “blow up doll” or vibrator). Since a person cannot cheat with an object, such activity would not be cheating. Some people might take issue with their partner sexing it up with a sexbot and forbid such activity. While a person who broke such an agreement about robot sex would be acting wrongly, they would not be cheating. Unless, of course, the sexbot was enough like a person for cheating to occur.
As discussed in the previous essays, classic cheating involves sexual activity with a person while one is in a committed relationship that is supposed to exclude such activity. Visual VR can allow interaction with another person, but while such activity might have sexual content (such as nakedness) it would not be sexual activity in the sense that requires physical contact. Such behavior, as argued in the previous essay, might constitute a form of emotional infidelity but not physical infidelity.
While there is debate about the right moral theory to apply to cheating, what makes the behavior cheating is that a person in a committed relationship is engaging in sexual activity with a person outside of that relationship. As such, cheating involves three main factors. The first is that the cheater is in a relationship that is supposed to exclude cheating. The second is that there is sexual activity. The third is that this activity is with a person outside of the relationship.