Polemics

Is there a smooth pathway from micro-evolution to macro-evolution?

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From Luke Nix who blogs at Faithful Thinkers.

Excerpt:

Macroevolutionary changes are a lot of microevolutionary changes, but they are in a specific series that follow a specific pathway. The missing premise in this argument is that the pathway from ancestor to claimed offspring (many generations down the road) is clear of obstacles.

In his book, “The Edge of Evolution” Michael Behe shows that scientists have observed such an obstacle in the lab. The obstacle was not time, it is in the genetic pathway that must be traversed if macroevolutionary changes are to take place in reality. Since an obstacle has been observed, we now have a false premise in the argument. Since there is a false premise, the argument fails. There is a difference between micro- and macro-evolutionary changes. A lot of microevolutionary changes are necessary for macroevolution, but they are not sufficient. The other sufficient condition (a clear genetic pathway) still has yet to be met. Since both sufficient conditions for macroevolution have not been met, it has not been demonstrated. And since changes over time has been demonstrated, there is a need to distinguish between the two. To prevent confusion about what we know to be true and what we don’t, this distinction must be made.

There is only one way that this can be overcome by the naturalist: find a pathway that would be clear by default in nature. Notice that I have added one more piece to the missing premise above: “…clear by default in nature“. I have to add that last qualification because as scientists are looking for a way to overcome this obstacle, they are introducing their own intelligence- fine-tuning the process, then “allowing nature to take its course”. Their conclusion of naturalistic macroevolution will depend on a premise that is founded on intelligence. That would undermine the whole argument for naturalistic (macro)evolution.

This is one of the ways to show that evolution is true – by showing a pathway to macro-evolutionary change in the lab. If people expect me to believe in the grandiose claims of fully naturalistic evolution through a stepwise process, then why can’t I see the pathway myself? If you make the claim that it happened, then I want to see the evidence for the claim.

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Commentary

Dennis Prager explains what feminism has achieved for women

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Dennis Prager has summarized many of my viewpoints on this blog in a tiny, tiny little article. He calls it “Four Legacies of Feminism“.

Read the whole glorious thing and bask in its wisdom!

Full text:

As we approach the 50th anniversary of the publication of Betty Friedan’s feminist magnum opus, The Feminine Mystique, we can have a perspective on feminism that was largely unavailable heretofore.

And that perspective doesn’t make feminism look good. Yes, women have more opportunities to achieve career success; they are now members of most Jewish and Christian clergy; women’s college sports teams are given huge amounts of money; and there are far more women in political positions of power. But the prices paid for these changes — four in particular — have been great, and outweigh the gains for women, let alone for men and for society.

1) The first was the feminist message to young women to have sex just as men do. There is no reason for them to lead a different sexual life than men, they were told. Just as men can have sex with any woman solely for the sake of physical pleasure, so, too, women ought to enjoy sex with any man just for the fun of it. The notion that the nature of women is to hope for at least the possibility of a long-term commitment from a man they sleep with has been dismissed as sexist nonsense.

As a result, vast numbers of young American women had, and continue to have, what are called “hookups”; and for some of them it is quite possible that no psychological or emotional price has been paid. But the majority of women who are promiscuous do pay prices. One is depression. New York Times columnist Ross Douthat recently summarized an academic study on the subject: “A young woman’s likelihood of depression rose steadily as her number of partners climbed and the present stability of her sex life diminished.”

Long before this study, I had learned from women callers to my radio show (an hour each week — the “Male-Female Hour” — is devoted to very honest discussion of sexual and other man-woman issues) that not only did female promiscuity coincide with depression, it also often had lasting effects on women’s ability to enjoy sex. Many married women told me that in order to have a normal sexual relationship with their husband, they had to work through the negative aftereffects of early promiscuity — not trusting men, feeling used, seeing sex as unrelated to love, and disdaining their husband’s sexual overtures. And many said they still couldn’t have a normal sex life with their husband.

2) The second awful legacy of feminism has been the belief among women that they could and should postpone marriage until they developed their careers. Only then should they seriously consider looking for a husband. Thus, the decade or more during which women have the best chance to attract men is spent being preoccupied with developing a career. Again, I cite woman callers to my radio show over the past 20 years who have sadly looked back at what they now, at age 40, regard as 20 wasted years. Sure, these frequently bright and talented women have a fine career. But most women are not programmed to prefer a great career to a great man and a family. They feel they were sold a bill of goods at college and by the media. And they were. It turns out that most women without a man do worse in life than fish without bicycles.

3) The third sad feminist legacy is that so many women — and men — have bought the notion that women should work outside the home that for the first time in American history, and perhaps world history, vast numbers of children are not primarily raised by their mothers or even by an extended family member. Instead they are raised for a significant part of their childhood by nannies and by workers at daycare centers. Whatever feminists may say about their only advocating choices, everyone knows the truth: Feminism regards work outside the home as more elevating, honorable, and personally productive than full-time mothering and making a home.

4) And the fourth awful legacy of feminism has been the demasculinization of men. For all of higher civilization’s recorded history, becoming a man was defined overwhelmingly as taking responsibility for a family. That notion — indeed the notion of masculinity itself — is regarded by feminism as the worst of sins: patriarchy.

Men need a role, or they become, as the title of George Gilder’s classic book on single men describes them: Naked Nomads. In little more than a generation, feminism has obliterated roles. If you wonder why so many men choose not to get married, the answer lies in large part in the contemporary devaluation of the husband and of the father — of men as men, in other words. Most men want to be honored in some way — as a husband, a father, a provider, as an accomplished something; they don’t want merely to be “equal partners” with a wife.

In sum, thanks to feminism, very many women slept with too many men for their own happiness; postponed marriage too long to find the right man to marry; are having hired hands do much of the raising of their children; and find they are dating boy-men because manly men are so rare.

Feminism exemplifies the truth of the saying, “Be careful what you wish for — you may get it.”

I wish I could add something to this, but I can’t because every time I think of something to add, he says it in the next sentence.

If you like this short essay, then this medium essay arguing against feminism authored by Barbara Kay would be nice follow-up.

It might be worth forwarding these articles along to your friends. And I highly recommend books on male-female relationships and roles by George Gilder, especially “Men and Marriage“.

Polemics

John Searle and the Chinese room illustration

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There is a very famous thought experiment from UC Berkeley philosopher John Searle that all Christian apologists should know about. And now everyone who reads the Wall Street Journal knows about it, because of this article.

In that article, Searle is writing about the IBM computer that was programmed to play Jeopardy. People have been talking about how this Jeopardy-playing computer seems human. But Searle disagrees. And his famous Chinese room example (discussed in the article) shows why no one should be concerned about computers acting like humans.

Excerpt:

Imagine that a person—me, for example—knows no Chinese and is locked in a room with boxes full of Chinese symbols and an instruction book written in English for manipulating the symbols. Unknown to me, the boxes are called “the database” and the instruction book is called “the program.” I am called “the computer.”

People outside the room pass in bunches of Chinese symbols that, unknown to me, are questions. I look up in the instruction book what I am supposed to do and I give back answers in Chinese symbols.

Suppose I get so good at shuffling the symbols and passing out the answers that my answers are indistinguishable from a native Chinese speaker’s. I give every indication of understanding the language despite the fact that I actually don’t understand a word of Chinese.

And if I do not, neither does any digital computer, because no computer, qua computer, has anything I do not have. It has stocks of symbols, rules for manipulating symbols, a system that allows it to rapidly transition from zeros to ones, and the ability to process inputs and outputs. That is it. There is nothing else.

By the way, Searle is a naturalist – not a theist, not a Christian. But he does oppose postmodernism. So he isn’t all bad. But let’s hear from a Christian scholar who can make more sense of this for us.

Here is a link to the full article by John Searle.

Here’s an article by Christian philosopher Jay Richards.

Excerpt:

Popular discussions of AI often suggest that if you keep increasing weak AI, at some point, you’ll get strong AI. That is, if you get enough computation, you’ll eventually get consciousness.

The reasoning goes something like this: There will be a moment at which a computer will be indistinguishable from a human intelligent agent in a blind test. At that point, we will have intelligent, conscious machines.

This does not follow. A computer may pass the Turing test, but that doesn’t mean that it will actually be a self-conscious, free agent.

The point seems obvious, but we can easily be beguiled by the way we speak of computers: We talk about computers learning, making mistakes, becoming more intelligent, and so forth. We need to remember that we are speaking metaphorically.

We can also be led astray by unexamined metaphysical assumptions. If we’re just computers made of meat, and we happened to become conscious at some point, what’s to stop computers from doing the same? That makes sense if you accept the premise—as many AI researchers do. If you don’t accept the premise, though, you don’t have to accept the conclusion.

In fact, there’s no good reason to assume that consciousness and agency emerge by accident at some threshold of speed and computational power in computers. We know by introspection that we are conscious, free beings—though we really don’t know how this works. So we naturally attribute consciousness to other humans. We also know generally what’s going on inside a computer, since we build them, and it has nothing to do with consciousness. It’s quite likely that consciousness is qualitatively different from the type of computation that we have developed in computers (as the “Chinese Room” argument, by philosopher John Searle, seems to show). Remember that, and you’ll suffer less anxiety as computers become more powerful.

Even if computer technology provides accelerating returns for the foreseeable future, it doesn’t follow that we’ll be replacing ourselves anytime soon. AI enthusiasts often make highly simplistic assumptions about human nature and biology. Rather than marveling at the ways in which computation illuminates our understanding of the microscopic biological world, many treat biological systems as nothing but clunky, soon-to-be-obsolete conglomerations of hardware and software. Fanciful speculations about uploading ourselves onto the Internet and transcending our biology rest on these simplistic assumptions. This is a common philosophical blind spot in the AI community, but it’s not a danger of AI research itself, which primarily involves programming and computers.

AI researchers often mix topics from different disciplines—biology, physics, computer science, robotics—and this causes critics to do the same. For instance, many critics worry that AI research leads inevitably to tampering with human nature. But different types of research raise different concerns. There are serious ethical questions when we’re dealing with human cloning and research that destroys human embryos. But AI research in itself does not raise these concerns. It normally involves computers, machines, and programming. While all technology raises ethical issues, we should be less worried about AI research—which has many benign applications—than research that treats human life as a means rather than an end.

When I am playing a game on the computer, I know exactly why what I am doing is fun – I am conscious of it. But the computer has no idea what I am doing. It is just matter in motion, acting on it’s programming and the inputs I supply to it. And that’s all computers will ever do. Trust me, this is my field. I have the BS and MS in computer science, and I have studied this area. AI has applications for machine learning and search problems, but consciousness is not on the radar. You can’t get there from here.