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For instance, slide 23 shows a Google search for “liberal social psychologist,” highlighting the fact that one gets a whopping 2,740 results (which, actually, by Google standards is puny; a search under my own name yields 145,000, and I ain’t no Lady Gaga). You then compared this search to one for “conservative social psychologist” and get only three entries.

First of all, if Google searches are the main tool of social psychology these days, I fear for the entire field. Second, I actually re-did your searches — at the prompting of one of my readers — and came up with quite different results. As the photo here shows, if you actually bother to scroll through the initial Google search for “liberal social psychologist” you will find that there are in fact only 24 results, to be compared to 10 (not 3) if you search for “conservative social psychologist.” Oops. From this scant data I would simply conclude that political orientation isn’t a big deal in social psychology.

Your talk continues with some pretty vigorous hand-waving: “We rely on our peers to find flaws in our arguments, but when there is essentially nobody out there to challenge liberal assumptions and interpretations of experimental findings, the peer review process breaks down, at least for work that is related to those sacred values.” Right, except that I would like to see a systematic survey of exactly how the lack of conservative peer review has affected the quality of academic publications. Oh, wait, it hasn’t, at least according to what you yourself say in the next sentence: “The great majority of work in social psychology is excellent, and is unaffected by these problems.” I wonder how you know this, and why — if true — you then think that there is a problem. Philosophers call this an inherent contradiction, it’s a common example of bad argument.

Finally, let me get to your outrage at the fact that I have allegedly accused you of academic misconduct and lying. I have done no such thing, and you really ought (in the ethical sense) to be careful when throwing those words around. I have simply raised the logical possibility that you (and Tierney) have an agenda, a possibility based on reading several of the things both you and Tierney have written of late. As a psychologist, I’m sure you are aware that biases can be unconscious, and therefore need not imply that the person in question is lying or engaging in any form of purposeful misconduct. Or were you implying in your own talk that your colleagues’ bias was conscious? Because if so, you have just accused an entire profession of misconduct.

there seems to me the potential danger of confusing various categories of moral discourse. For instance, are the “folks” studied in these cases actually relativist, or perhaps adherents to one of several versions of moral anti-realism? The two are definitely not the same, but I doubt that the subjects in question could tell the difference (and I wouldn’t expect them to, after all they are not philosophers).

why do we expect philosophers to learn from “folk morality” when we do not expect, say, physicists to learn from folk physics (which tends to be Aristotelian in nature), or statisticians from people’s understanding of probability theory (which is generally remarkably poor, as casino owners know very well)? Or even, while I’m at it, why not ask literary critics to discuss Shakespeare in light of what common folks think about the bard (making sure, perhaps, that they have at least read his works, and not just watched the movies)?

Hence, my other examples of stat (i.e., math) and literary criticism. I conceive of philosophy in general, and moral philosophy in particular, as more akin to a (science-informed, to be sure) mix between logic and criticism. Some moral philosophy consists in engaging an “if ... then” sort of scenario, akin to logical-mathematical thinking, where one begins with certain axioms and attempts to derive the consequences of such axioms. In other respects, moral philosophers exercise reflective criticism concerning those consequences as they might be relevant to practical problems.

For instance, we may write philosophically about abortion, and begin our discussion from a comparison of different conceptions of “person.” We might conclude that “if” one adopts conception X of what a person is, “then” abortion is justifiable under such and such conditions; while “if” one adopts conception Y of a person, “then” abortion is justifiable under a different set of conditions, or not justifiable at all. We could, of course, back up even further and engage in a discussion of what “personhood” is, thus moving from moral philosophy to metaphysics.

Nowhere in the above are we going to ask “folks” what they think a person is, or how they think their implicit conception of personhood informs their views on abortion. Of course people’s actual views on abortion are crucial — especially for public policy — and they are intrinsically interesting to social scientists. But they don’t seem to me to make much more contact with philosophy than the above mentioned popular opinions on Shakespeare make contact with serious literary criticism. And please, let’s not play the cheap card of “elitism,” unless we are willing to apply the label to just about any intellectual endeavor, in any discipline.

There is one area in which experimental philosophy can potentially contribute to philosophy proper (as opposed to social science). Once we have a more empirically grounded understanding of what people’s moral reasoning actually is, then we can analyze the likely consequences of that reasoning for a variety of societal issues. But now we would be doing something more akin to political than moral philosophy.

Unlike the drum language, which was based on spoken language, the optical telegraph was based on written French. Chappe invented an elaborate coding system to translate written messages into optical signals. Chappe had the opposite problem from the drummers. The drummers had a fast transmission system with ambiguous messages. They needed to slow down the transmission to make the messages unambiguous. Chappe had a painfully slow transmission system with redundant messages. The French language, like most alphabetic languages, is highly redundant, using many more letters than are needed to convey the meaning of a message. Chappe’s coding system allowed messages to be transmitted faster. Many common phrases and proper names were encoded by only two optical symbols, with a substantial gain in speed of transmission. The composer and the reader of the message had code books listing the message codes for eight thousand phrases and names. For Napoleon it was an advantage to have a code that was effectively cryptographic, keeping the content of the messages secret from citizens along the route.

After these two historical examples of rapid communication in Africa and France, the rest of Gleick’s book is about the modern development of information technolog

The modern history is dominated by two Americans, Samuel Morse and Claude Shannon. Samuel Morse was the inventor of Morse Code. He was also one of the pioneers who built a telegraph system using electricity conducted through wires instead of optical pointers deployed on towers. Morse launched his electric telegraph in 1838 and perfected the code in 1844. His code used short and long pulses of electric current to represent letters of the alphabet.

Morse was ideologically at the opposite pole from Chappe. He was not interested in secrecy or in creating an instrument of government power. The Morse system was designed to be a profit-making enterprise, fast and cheap and available to everybody. At the beginning the price of a message was a quarter of a cent per letter. The most important users of the system were newspaper correspondents spreading news of local events to readers all over the world. Morse Code was simple enough that anyone could learn it. The system provided no secrecy to the users. If users wanted secrecy, they could invent their own secret codes and encipher their messages themselves. The price of a message in cipher was higher than the price of a message in plain text, because the telegraph operators could transcribe plain text faster. It was much easier to correct errors in plain text than in cipher.

Claude Shannon was the founding father of information theory. For a hundred years after the electric telegraph, other communication systems such as the telephone, radio, and television were invented and developed by engineers without any need for higher mathematics. Then Shannon supplied the theory to understand all of these systems together, defining information as an abstract quantity inherent in a telephone message or a television picture. Shannon brought higher mathematics into the game.

When Shannon was a boy growing up on a farm in Michigan, he built a homemade telegraph system using Morse Code. Messages were transmitted to friends on neighboring farms, using the barbed wire of their fences to conduct electric signals. When World War II began, Shannon became one of the pioneers of scientific cryptography, working on the high-level cryptographic telephone system that allowed Roosevelt and Churchill to talk to each other over a secure channel. Shannon’s friend Alan Turing was also working as a cryptographer at the same time, in the famous British Enigma project that successfully deciphered German military codes. The two pioneers met frequently when Turing visited New York in 1943, but they belonged to separate secret worlds and could not exchange ideas about cryptography.

In 1945 Shannon wrote a paper, “A Mathematical Theory of Cryptography,” which was stamped SECRET and never saw the light of day. He published in 1948 an expurgated version of the 1945 paper with the title “A Mathematical Theory of Communication.” The 1948 version appeared in the Bell System Technical Journal, the house journal of the Bell Telephone Laboratories, and became an instant classic. It is the founding document for the modern science of information. After Shannon, the technology of information raced ahead, with electronic computers, digital cameras, the Internet, and the World Wide Web.

According to Gleick, the impact of information on human affairs came in three installments: first the history, the thousands of years during which people created and exchanged information without the concept of measuring it; second the theory, first formulated by Shannon; third the flood, in which we now live

The event that made the flood plainly visible occurred in 1965, when Gordon Moore stated Moore’s Law. Moore was an electrical engineer, founder of the Intel Corporation, a company that manufactured components for computers and other electronic gadgets. His law said that the price of electronic components would decrease and their numbers would increase by a factor of two every eighteen months. This implied that the price would decrease and the numbers would increase by a factor of a hundred every decade. Moore’s prediction of continued growth has turned out to be astonishingly accurate during the forty-five years since he announced it. In these four and a half decades, the price has decreased and the numbers have increased by a factor of a billion, nine powers of ten. Nine powers of ten are enough to turn a trickle into a flood.

Gordon Moore was in the hardware business, making hardware components for electronic machines, and he stated his law as a law of growth for hardware. But the law applies also to the information that the hardware is designed to embody. The purpose of the hardware is to store and process information. The storage of information is called memory, and the processing of information is called computing. The consequence of Moore’s Law for information is that the price of memory and computing decreases and the available amount of memory and computing increases by a factor of a hundred every decade. The flood of hardware becomes a flood of information.

In 1949, one year after Shannon published the rules of information theory, he drew up a table of the various stores of memory that then existed. The biggest memory in his table was the US Library of Congress, which he estimated to contain one hundred trillion bits of information. That was at the time a fair guess at the sum total of recorded human knowledge. Today a memory disc drive storing that amount of information weighs a few pounds and can be bought for about a thousand dollars. Information, otherwise known as data, pours into memories of that size or larger, in government and business offices and scientific laboratories all over the world. Gleick quotes the computer scientist Jaron Lanier describing the effect of the flood: “It’s as if you kneel to plant the seed of a tree and it grows so fast that it swallows your whole town before you can even rise to your feet.”

On December 8, 2010, Gleick published on the The New York Review’s blog an illuminating essay, “The Information Palace.” It was written too late to be included in his book. It describes the historical changes of meaning of the word “information,” as recorded in the latest quarterly online revision of the Oxford English Dictionary. The word first appears in 1386 a parliamentary report with the meaning “denunciation.” The history ends with the modern usage, “information fatigue,” defined as “apathy, indifference or mental exhaustion arising from exposure to too much information.”

The consequences of the information flood are not all bad. One of the creative enterprises made possible by the flood is Wikipedia, started ten years ago by Jimmy Wales. Among my friends and acquaintances, everybody distrusts Wikipedia and everybody uses it. Distrust and productive use are not incompatible. Wikipedia is the ultimate open source repository of information. Everyone is free to read it and everyone is free to write it. It contains articles in 262 languages written by several million authors. The information that it contains is totally unreliable and surprisingly accurate. It is often unreliable because many of the authors are ignorant or careless. It is often accurate because the articles are edited and corrected by readers who are better informed than the authors

Jimmy Wales hoped when he started Wikipedia that the combination of enthusiastic volunteer writers with open source information technology would cause a revolution in human access to knowledge. The rate of growth of Wikipedia exceeded his wildest dreams. Within ten years it has become the biggest storehouse of information on the planet and the noisiest battleground of conflicting opinions. It illustrates Shannon’s law of reliable communication. Shannon’s law says that accurate transmission of information is possible in a communication system with a high level of noise. Even in the noisiest system, errors can be reliably corrected and accurate information transmitted, provided that the transmission is sufficiently redundant. That is, in a nutshell, how Wikipedia works.

The information flood has also brought enormous benefits to science. The public has a distorted view of science, because children are taught in school that science is a collection of firmly established truths. In fact, science is not a collection of truths. It is a continuing exploration of mysteries. Wherever we go exploring in the world around us, we find mysteries. Our planet is covered by continents and oceans whose origin we cannot explain. Our atmosphere is constantly stirred by poorly understood disturbances that we call weather and climate. The visible matter in the universe is outweighed by a much larger quantity of dark invisible matter that we do not understand at all. The origin of life is a total mystery, and so is the existence of human consciousness. We have no clear idea how the electrical discharges occurring in nerve cells in our brains are connected with our feelings and desires and actions.

Even physics, the most exact and most firmly established branch of science, is still full of mysteries. We do not know how much of Shannon’s theory of information will remain valid when quantum devices replace classical electric circuits as the carriers of information. Quantum devices may be made of single atoms or microscopic magnetic circuits. All that we know for sure is that they can theoretically do certain jobs that are beyond the reach of classical devices. Quantum computing is still an unexplored mystery on the frontier of information theory. Science is the sum total of a great multitude of mysteries. It is an unending argument between a great multitude of voices. It resembles Wikipedia much more than it resembles the Encyclopaedia Britannica.

The rapid growth of the flood of information in the last ten years made Wikipedia possible, and the same flood made twenty-first-century science possible. Twenty-first-century science is dominated by huge stores of information that we call databases. The information flood has made it easy and cheap to build databases. One example of a twenty-first-century database is the collection of genome sequences of living creatures belonging to various species from microbes to humans. Each genome contains the complete genetic information that shaped the creature to which it belongs. The genome data-base is rapidly growing and is available for scientists all over the world to explore. Its origin can be traced to the year 1939, when Shannon wrote his Ph.D. thesis with the title “An Algebra for Theoretical Genetics.

Shannon was then a graduate student in the mathematics department at MIT. He was only dimly aware of the possible physical embodiment of genetic information. The true physical embodiment of the genome is the double helix structure of DNA molecules, discovered by Francis Crick and James Watson fourteen years later. In 1939 Shannon understood that the basis of genetics must be information, and that the information must be coded in some abstract algebra independent of its physical embodiment. Without any knowledge of the double helix, he could not hope to guess the detailed structure of the genetic code. He could only imagine that in some distant future the genetic information would be decoded and collected in a giant database that would define the total diversity of living creatures. It took only sixty years for his dream to come true.

In the twentieth century, genomes of humans and other species were laboriously decoded and translated into sequences of letters in computer memories. The decoding and translation became cheaper and faster as time went on, the price decreasing and the speed increasing according to Moore’s Law. The first human genome took fifteen years to decode and cost about a billion dollars. Now a human genome can be decoded in a few weeks and costs a few thousand dollars. Around the year 2000, a turning point was reached, when it became cheaper to produce genetic information than to understand it. Now we can pass a piece of human DNA through a machine and rapidly read out the genetic information, but we cannot read out the meaning of the information. We shall not fully understand the information until we understand in detail the processes of embryonic development that the DNA orchestrated to make us what we are.

The explosive growth of information in our human society is a part of the slower growth of ordered structures in the evolution of life as a whole. Life has for billions of years been evolving with organisms and ecosystems embodying increasing amounts of information. The evolution of life is a part of the evolution of the universe, which also evolves with increasing amounts of information embodied in ordered structures, galaxies and stars and planetary systems. In the living and in the nonliving world, we see a growth of order, starting from the featureless and uniform gas of the early universe and producing the magnificent diversity of weird objects that we see in the sky and in the rain forest. Everywhere around us, wherever we look, we see evidence of increasing order and increasing information. The technology arising from Shannon’s discoveries is only a local acceleration of the natural growth of information.

. Lord Kelvin, one of the leading physicists of that time, promoted the heat death dogma, predicting that the flow of heat from warmer to cooler objects will result in a decrease of temperature differences everywhere, until all temperatures ultimately become equal. Life needs temperature differences, to avoid being stifled by its waste heat. So life will disappear

Thanks to the discoveries of astronomers in the twentieth century, we now know that the heat death is a myth. The heat death can never happen, and there is no paradox. The best popular account of the disappearance of the paradox is a chapter, “How Order Was Born of Chaos,” in the book Creation of the Universe, by Fang Lizhi and his wife Li Shuxian.2 Fang Lizhi is doubly famous as a leading Chinese astronomer and a leading political dissident. He is now pursuing his double career at the University of Arizona.

The belief in a heat death was based on an idea that I call the cooking rule. The cooking rule says that a piece of steak gets warmer when we put it on a hot grill. More generally, the rule says that any object gets warmer when it gains energy, and gets cooler when it loses energy. Humans have been cooking steaks for thousands of years, and nobody ever saw a steak get colder while cooking on a fire. The cooking rule is true for objects small enough for us to handle. If the cooking rule is always true, then Lord Kelvin’s argument for the heat death is correct.

the cooking rule is not true for objects of astronomical size, for which gravitation is the dominant form of energy. The sun is a familiar example. As the sun loses energy by radiation, it becomes hotter and not cooler. Since the sun is made of compressible gas squeezed by its own gravitation, loss of energy causes it to become smaller and denser, and the compression causes it to become hotter. For almost all astronomical objects, gravitation dominates, and they have the same unexpected behavior. Gravitation reverses the usual relation between energy and temperature. In the domain of astronomy, when heat flows from hotter to cooler objects, the hot objects get hotter and the cool objects get cooler. As a result, temperature differences in the astronomical universe tend to increase rather than decrease as time goes on. There is no final state of uniform temperature, and there is no heat death. Gravitation gives us a universe hospitable to life. Information and order can continue to grow for billions of years in the future, as they have evidently grown in the past.

The vision of the future as an infinite playground, with an unending sequence of mysteries to be understood by an unending sequence of players exploring an unending supply of information, is a glorious vision for scientists. Scientists find the vision attractive, since it gives them a purpose for their existence and an unending supply of jobs. The vision is less attractive to artists and writers and ordinary people. Ordinary people are more interested in friends and family than in science. Ordinary people may not welcome a future spent swimming in an unending flood of information.

A darker view of the information-dominated universe was described in a famous story, “The Library of Babel,” by Jorge Luis Borges in 1941.3 Borges imagined his library, with an infinite array of books and shelves and mirrors, as a metaphor for the universe.

Gleick’s book has an epilogue entitled “The Return of Meaning,” expressing the concerns of people who feel alienated from the prevailing scientific culture. The enormous success of information theory came from Shannon’s decision to separate information from meaning. His central dogma, “Meaning is irrelevant,” declared that information could be handled with greater freedom if it was treated as a mathematical abstraction independent of meaning. The consequence of this freedom is the flood of information in which we are drowning. The immense size of modern databases gives us a feeling of meaninglessness. Information in such quantities reminds us of Borges’s library extending infinitely in all directions. It is our task as humans to bring meaning back into this wasteland. As finite creatures who think and feel, we can create islands of meaning in the sea of information. Gleick ends his book with Borges’s image of the human condition:We walk the corridors, searching the shelves and rearranging them, looking for lines of meaning amid leagues of cacophony and incoherence, reading the history of the past and of the future, collecting our thoughts and collecting the thoughts of others, and every so often glimpsing mirrors, in which we may recognize creatures of the information.

The posters ask those who are not religious to tick the "no religion" box when they fill in forms for the 2011 census."We used to tick 'Christian' but we're not really religious. We'll tick 'No Religion' this time. We're sick of hearing politicians say this is a religious country and giving millions to religious organisations and the pope's state visit. Money like that should go where it is needed," says one of the banned posters.

The ban followed advice from the Advertising Standards Authority's committee of advertising practice that the advert had the potential to cause widespread and serious offence.The poster display company involved also said it did not want to take adverts relating to religion.

British Humanist Association has amended the campaign slogan on the adverts to read simply: "Not religious? In this year's census say so." The posters are being displayed from this weekend on 200 buses in London, Manchester, Leeds, Newcastle, Birmingham, Cardiff and Exeter.

The finding comes at a critical moment for NOAA as some newly empowered Republican House members seek to rein in the Environmental Protection Agency’s plans to regulate greenhouse gas emissions, often contending that the science underpinning global warming is flawed. NOAA is the federal agency tasked with monitoring climate data.

The inquiry into NOAA’s conduct was requested last May by Senator James M. Inhofe, Republican of Oklahoma, who has challenged the science underlying human-induced climate change. Mr. Inhofe was acting in response to the controversy over the e-mail messages, which were stolen from the Climatic Research Unit at the University of East Anglia in England, a major hub of climate research. Mr. Inhofe asked the inspector general of the Commerce Department to investigate how NOAA scientists responded internally to the leaked e-mails. Of 1,073 messages, 289 were exchanges with NOAA scientists.

The inspector general reviewed the 1,073 e-mails, and interviewed Dr. Lubchenco and staff members about their exchanges. The report did not find scientific misconduct; it did however, challenge the agency over its handling of some Freedom of Information Act requests in 2007. And it noted the inappropriateness of e-mailing a collage cartoon depicting Senator Inhofe and five other climate skeptics marooned on a melting iceberg that passed between two NOAA scientists.

The report was not a review of the climate data itself. It joins a series of investigations by the British House of Commons, Pennsylvania State University, the InterAcademy Council and the National Research Council into the leaked e-mails that have exonerated the scientists involved of scientific wrongdoing.

But Mr. Inhofe said the report was far from a clean bill of health for the agency and that contrary to its executive summary, showed that the scientists “engaged in data manipulation.”

“It also appears that one senior NOAA employee possibly thwarted the release of important federal scientific information for the public to assess and analyze,” he said, referring to an employee’s failure to provide material related to work for the Intergovernmental Panel on Climate Change, a different body that compiles research, in response to a Freedom of Information request.

in complex systems, "no matter how effective conventional safety devices are, there is a form of accident that is inevitable" - hence the term "normal accidents".

system accidents occur with many technologies: Take the example of a highway blow-out leading to a pile-up. This may have disastrous consequences for those involved but cannot be described as a disaster. The latter only happens when the technologies involved have the potential to affect many innocent bystanders. This "dread factor" is why the nuclear aspect of Japan's ordeal has come to dominate headlines, even though the tsunami has had much greater immediate impact on lives.

It is simply too early to say what precisely went wrong at Fukushima, and it has been surprising to see commentators speak with such speed and certainty. Most people accept that they will only ever have a rough understanding of the facts. But they instinctively ask if they can trust those in charge and wonder why governments support particular technologies so strongly.

Industry and governments need to be more straightforward with the public. The pretence of knowledge is deeply unscientific; a more humble approach where officials are frank about the unknowns would paradoxically engender greater trust.

Likewise, nuclear's opponents need to adopt a measured approach. We need a fuller democratic debate about the choices we are making. Catastrophic potential needs to be a central criterion in decisions about technology. Advice from experts is useful but the most significant questions are ethical in character.

If technologies can potentially have disastrous effects on large numbers of innocent bystanders, someone needs to represent their interests. We might expect this to be the role of governments, yet they have generally become advocates of nuclear power because it is a relatively low-carbon technology that reduces reliance on fossil fuels. Unfortunately, this commitment seems to have reduced their ability to be seen to act as honest brokers, something acutely felt at times like these, especially since there have been repeated scandals in Japan over the covering-up of information relating to accidents at reactors.

Post Fukushima, governments in Germany, Switzerland and Austria already appear to be shifting their policies. Rational voices, such as the Britain's chief scientific adviser John Beddington, are saying quite logically that we should not compare the events in Japan with the situation in Britain, which does not have the same earthquake risk. Unfortunately, such arguments are unlikely to prevail in the politics of risky technologies.

firms and investors involved in nuclear power have often failed to take regulatory and political risk into account; history shows that nuclear accidents can lead to tighter regulations, which in turn can increase nuclear costs. Further ahead, the proponents of hazardous technologies need to bear the full costs of their products, including insurance liabilities and the cost of independent monitoring of environmental and health effects. As it currently stands, taxpayers would pay for any future nuclear incident.

Critics of technology are often dubbed in policy circles as anti-science. Yet critical thinking is central to any rational decision-making process - it is less scientific to support a technology uncritically. Accidents happen with all technologies, and are regrettable but not disastrous so long as the technology does not have catastrophic potential; this raises significant questions about whether we want to adopt technologies that do have such potential.

Mashable always give misleading news with misleading titles and ridiculous analysis. In France, you cannot do neither good nor bad ad for any brand or company in a TV program (unless you pay your ad slot of course). With the coming of social networks, people advertise their page and by the way facebook and twitter. That’s why the ban comes to say that facebook and twitter are also brands and companies like others. Actually, you can say “Facebook” and “twitter” and whatever you want… in any TV program in France, but you cannot advertise for them. So please be less simplistic and a little more percise in you articles.

By this logic no personal brand (i.e. Brad Pitt, Angelina Jolie, and so on) could be mentioned without them paying for it. And by this logic, public relations could not exist as a profession in France.

Agar directly tackles Hughes’ ideas of a “democratic transhumanism.” Here as post-humans and humans live shoulder to shoulder in wonderful harmony, all persons have access to the technologies they want in order to promote their own flourishing.  Under girding all of this is the belief that no human should feel pressurised to become enhance. Agar finds no comfort with this and instead can foresee a situation where it would be very difficult for humans to ‘choose’ to remain human.  The pressure to radically enhance would be considerable given the fact that the radically enhanced would no doubt be occupying the positions of power in society and would consider the moral obligation to utilise to the full enhancement techniques as being a moral imperative for the good of society.  For those who were able to withstand then a new underclass would no doubt emerge between the enhanced and the un-enhanced. This is precisely the kind of society which Hughes appears to be overly optimistic will not emerge but which is more akin to Lee Silver’s prediction of the future with the distinction made between the "GenRich" and the "naturals”.  This being the case, the author proposes that we have two options: radical enhancement is either enforced across the board or banned outright. It is the latter option which Agar favours but crucially does not elaborate further on so it is unclear as to how he would attempt such a ban given the complexity of the issue. This is disappointing as any general initial reflections which the author felt able to offer would have added to the discussion and added further strength to his line of argument.

A Transhuman Manifesto The final focus for Agar is James Hughes, who published his transhumanist manifesto Citizen Cyborg in 2004. Given the direct connection with politics and public policy this for me was a particularly interesting read. The basic premise to Hughes argument is that once humans and post humans recognise each other as citizens then this will mark the point at which they will be able to get along with each other.

Agar takes to task the argument Bostrom made with Toby Ord, concerning claims against enhancement. Bostrom and Ord argue that it boils down to a preference for the status quo; current human intellects and life spans are preferred and deemed best because they are what we have now and what we are familiar with (p. 134).  Agar discusses the fact that in his view, Bostrom falls into a focalism – focusing on and magnifying the positives whilst ignoring the negative implications.  Moreover, Agar goes onto develop and reiterate his earlier point that the sort of radical enhancements Bostrom et al enthusiastically support and promote take us beyond what is human so they are no longer human. It therefore cannot be said to be human enhancement given the fact that the traits or capacities that such enhancement afford us would be in many respects superior to ours, but they would not be ours.

With his law of accelerating returns and talk of the Singularity Ray Kurzweil proposes that we are speeding towards a time when our outdated systems of neurons and synapses will be traded for far more efficient electronic circuits, allowing us to become artificially super-intelligent and transferring our minds from brains into machines.

Having laid out the main ideas and thinking behind Kurzweil’s proposals, Agar makes the perceptive comment that despite the apparent appeal of greater processing power it would nevertheless be no longer human. Introducing chips to the human body and linking into the human nervous system to computers as per Ray Kurzweil’s proposals will prove interesting but it goes beyond merely creating a copy of us in order to that future replication and uploading can take place. Rather it will constitute something more akin to an upgrade. Electrochemical signals that the brain use to achieve thought travel at 100 metres per second. This is impressive but contrast this with the electrical signals in a computer which travel at 300 million metres per second then the distinction is clear. If the predictions are true how will such radically enhanced and empowered beings live not only the unenhanced but also what will there quality of life really be? In response, Agar favours something what he calls “rational biological conservatism” (pg. 57) where we set limits on how intelligent we can become in light of the fact that it will never be rational to us for human beings to completely upload their minds onto computers.

Agar then proceeds to argue that in the pursuit of Kurzweil enhanced capacities and capabilities we might accidentally undermine capacities of equal value. This line of argument would find much sympathy from those who consider human organisms in “ecological” terms, representing a profound interconnectedness which when interfered with presents a series of unknown and unexpected consequences. In other words, our specifies-specific form of intelligence may well be linked to species-specific form of desire. Thus, if we start building upon and enhancing our capacity to protect and promote deeply held convictions and beliefs then due to the interconnectedness, it may well affect and remove our desire to perform such activities (page 70). Agar’s subsequent discussion and reference to the work of Jerry Foder, philosopher and cognitive scientist is particularly helpful in terms of the functioning of the mind by modules and the implications of human-friendly AI verses human-unfriendly AI.

In terms of the author’s discussion of Aubrey de Grey, what is refreshing to read from the outset is the author’s clear grasp of Aubrey’s ideas and motivation. Some make the mistake of thinking he is the man who wants to live forever, when in actual fact this is not the case.  De Grey wants to reverse the ageing process - Strategies for Engineered Negligible Senescence (SENS) so that people are living longer and healthier lives. Establishing this clear distinction affords the author the opportunity to offer more grounded critiques of de Grey’s than some of his other critics. The author makes plain that de Grey’s immediate goal is to achieve longevity escape velocity (LEV), where anti-ageing therapies add years to life expectancy faster than age consumes them.

In weighing up the benefits of living significantly longer lives, Agar posits a compelling argument that I had not fully seen before. In terms of risk, those radically enhanced to live longer may actually be the most risk adverse and fearful people to live. Taking the example of driving a car, a forty year-old senescing human being who gets into their car to drive to work and is involved in a fatal accident “stands to lose, at most, a few healthy, youthful years and a slightly larger number of years with reduced quality” (p.116). In stark contrast should a negligibly senescent being who drives a car and is involved in an accident resulting in their death, stands to lose on average one thousand, healthy, youthful years (p.116).  

De Grey’s response to this seems a little flippant; with the end of ageing comes an increased sense of risk-aversion so the desire for risky activity such as driving will no longer be prevalent. Moreover, plus because we are living for longer we will not be in such a hurry to get to places!  Virtual reality comes into its own at this point as a means by which the negligibly senescent being ‘adrenaline junkie’ can be engaged with activities but without the associated risks. But surely the risk is part of the reason why they would want to engage in snow boarding, bungee jumping et al in the first place. De Grey’s strategy seemingly fails to appreciate the extent to which human beings want “direct” contact with the “real” world.

Continuing this idea further though, Agar’s subsequent discussion of the role of fire-fighters is an interesting one.  A negligibly senescent fire fighter may stand to loose more when they are trapped in a burning inferno but being negligibly senescent means that they are better fire-fighters by virtue of increase vitality. Having recently heard de Grey speak and had the privilege of discussing his ideas further with him, Agar’s discussion of De Grey were a particular highlight of the book and made for an engaging discussion. Whilst expressing concern and doubt in relation to De Grey’s ideas, Agar is nevertheless quick and gracious enough to acknowledge that if such therapies could be achieved then De Grey is probably the best person to comment on and achieve such therapies given the depth of knowledge and understanding that he has built up in this area.

Content industry analyses of the file sharing phenomenon tend to downplay key sources of income for musicians, the LSE report charges, most notably revenue from live concert performances.

Legal file sharing also grew by nine percent globally in 2009, along with an eight percent increase in performance rights revenue.

So what is emerging is an increasingly "ephemeral" global music culture based not upon the purchasing of discrete physical packages of music, but on the discovery and subsequent promotion of musicians through file sharing. The big winner in this model is not the digital music file seller, but the touring band, whose music is easily discoverable on the 'Net. As with so much of the rest of the emerging world economy, the shift is away from buying things and towards purchasing services—in this case tickets to concerts and related activities.