• Tag Archives cryptocurrency
  • What Is the Blockchain and What Can It Do? Interview with Caitlin Long

    What Is the Blockchain and What Can It Do? Interview with Caitlin Long

    When people first get interested in Bitcoin, it is usually as an investment and, possibly, as an alternative to nation-state monies of the world. It takes time and study but you eventually come to realize that there is a lot more potential to this technology. It all comes down to the Blockchain, which is the information storage and sharing technology that gives Bitcoin its value at all. And this ledger-based system – which belongs at once to everyone and no one – has a multiplicity of uses that could potentially eat into the exclusive domain of what are today considered within the exclusive domain of public law.



    Like what? Like property titles. Like marriage announcements. Like contracts between multiple parties that require strict adherence to terms. Once you begin to let your imagination run wild, you begin to see the potential of an entire legal system that could gradually emerge in the digital cloud, one that could displace traditional functions of the nation-state itself.

    Of course that seems a bit like science fiction, which, if possible, is surely decades or longer away. Or maybe not. According to many experts in Blockchain technologies, the advantages are so palpable as to make immediate applications advantageous to many institutions right now.

    A pioneer currently working on such applications is Caitlin Long, who will be speaking at FEEcon later this year. In this brief presentation, she discusses the promise and prospect of distributed ledgers to change the way we think of contracts and property titles.


    Jeffrey Tucker

    Jeffrey Tucker is Director of Content for the Foundation for Economic Education. He is also Chief Liberty Officer and founder of Liberty.me, Distinguished Honorary Member of Mises Brazil, research fellow at the Acton Institute, policy adviser of the Heartland Institute, founder of the CryptoCurrency Conference, member of the editorial board of the Molinari Review, an advisor to the blockchain application builder Factom, and author of five books. He has written 150 introductions to books and many thousands of articles appearing in the scholarly and popular press.

    This article was originally published on FEE.org. Read the original article.


  • Gridcoin GPU mining (5): Looking at the Sky

    Besides searching for gravitational waves, Einstein@home is also analyzing data from Arecibo Observatory, Parkes Observatory and Fermi Gamma-ray Space Telescope, searching for pulsars in the electromagnetic spectrum.

    Parkes radio-telescope observatory in Australia

    Compared to the quest for gravitational waves, this is certainly a more conventional search, but nevertheless an enormous computational challenge. So far, 31 new binary radio-pulsars have been discovered in Arecibo data, 24 binary radio-pulsars in Parkes data and 18 new gamma-ray pulsars have been discovered in Fermi Space Telescope data, greatly advancing the overall understanding of these stellar objects. Additionally, such pulsars are a continuous source of gravitational waves (especially binary systems) and are potential candidates for future targeted gravitational wave searches (like S6CasA which ran in 2014. and targeted supernova remnants in the constellation Cassiopeia).

    Einstein@home is looking for pulsars in binary systems (two pulsars orbiting one another, as depicted in this GIF animation, or pulsar plus an ordinary companion star). Since we see most of such binary systems from the side or inclined, their signal is usually ‘smeared’ and harder to distinguish from the background noise. Einstein@home and distributed computing arrive to the rescue, analyzing huge amount of data from various radio-observatories across the world, scanning the electromagnetic spectrum for such hard to detect, smeared signals. Two such massive celestial bodies rotating around each other at a relatively close distance are also a likely source of continuous gravitational waves.

    PSR J1913+1102

    Just recently, in December 2016, two lucky Einstein@home volunteers (Uwe Tittmar from Germany and Gerald Schrader from the US) discovered one such binary system named PSR J1913+1102 – two massive neutron stars orbiting one another in less than five hours (that’s considered a very tight orbit), almost 25 000 light years away from Earth. Such double neutron star systems are very rare, and unique for fundamental physics, enabling measurements that would be impossible to obtain otherwise – literally a ‘golden mine’ for physicists.

    As mentioned before, Einstein@home has discovered a total of 55 different radio pulsars, but PSR J1913+1102 is considered to be its most significant detection so far. You can read more about it here: Home computers discover a record-breaking pulsar-neutron star system. 

    Deciphering the name: PSR=Pulsar, J=so called Julian epoch, 1913=Right Ascension, 1102=Declination. Long story short, these numbers tell us where is this particular celestial object located on our sky. Through this interactive map, you can find out that this pulsar is roughly located in the Aquila constellation:

    The Aquila constellation, best seen in the northern summer sky. It is located along the Milky Way and because of this location (along the line of our Galaxy), many clusters, pulsars, nebulae and other interesting celestial objects are found within its borders – not surprisingly, because the stellar density is much higher there.

    The discovery

    So, what actually happens when you compute for Einstein@home and happen to discover one such pulsar? Well, after the workunit containing such an important signal is crunched through BOINC on your machine, the results are uploaded to Einstein@home servers where they are double-checked and analyzed even further. If such an analysis indeed confirms that your device found the signal with highest statistical significance, you will receive an e-mail from Prof. Bruce Allen, Director of Einstein@home (on e-mail address with which you registered on BOINC in the first place).

    The hardware

    So, you are asking yourself now, what hardware is needed to make all these nice discoveries? Well, almost any CPU or GPU will do. Both Gamma-ray pulsar and radio-pulsar searches have CPU and GPU applications, supporting CUDA, OpenCL, Linux, Windows, Mac OS… everything.

    GPU applications are of course the fastest and most powerful. FP32 or single precision is used only, so even consumer graphic cards designed for gaming will yield excellent performance. Fastest computer currently contributing to Einstein@home is equipped with 8 AMD Fiji GPUs and running 24/7, so the competition is tough :)

    Einstein@home comes with an interesting Starsphere Screensaver, showing some info about the workunit you are currently processing. The crosshair (Search Marker) represents the position in the sky which is being searched.  This marker will move from point to point as the search progresses.  

    Both your CPU and GPU are busy mining latest Proof-of-Work scheme? Don’t worry, because an Android application is also available, for radio-pulsar search. Yes, you can run Einstein@home (and mint Gridcoins in turn) even with your Android device. Obviously, your contribution will be very small compared to a modern GPU, but there are literally billions of active Android devices in the world now, so the potential for some massive computational power is clearly there. Remember, Einstein@home, BOINC (and Gridcoin) are all about distributed computing i.e. plenty of small devices working together, achieving important things in the end. Even an old Android smartphone, crunching Einstein@home only while charging, can contribute a lot of computing time over a year or two. And a collective created by thousands of smartphones can be faster than a single desktop computer, even with today’s technology.

    Full article: Gridcoin GPU mining (5): Looking at the Sky


  • Should Bitcoin’s Birth Have Been Impossible?

    Should Bitcoin’s Birth Have Been Impossible?

    Today is Bitcoin’s 8th birthday. The digital currency’s fans can celebrate the day with extra joy (and perhaps expensive libations), since its price has run up to over $1,000.

    On January 3, 2009, the first bitcoins were mined from the “Genesis block.” While that Bitcoin’s technological birth, it wasn’t born economically until some time afterward, when someone first accepted it as payment for a commodity or service. That was the origin of its value as a medium of exchange, the role that makes Bitcoin so potentially world-changing.

    Some thought such a moment should have been impossible, or was at least problematic. Bitcoin was never a commodity. And according to Austrian economics as they understood it, money can only originate out of the barter of commodities.

    The Origin of Money

    In the 19th century, Carl Menger, the founder of Austrian economics, explained how money can arise out of barter. His theory debunked the prevailing myth that money must have originated from government decree. The market was fully capable of creating money without the help of the State.

    Mises explained how a money’s value can be traced backward through time.

    According to Menger, money emerges as an entrepreneurial solution to a universal problem in barter markets. It’s hard to find a seller of exactly the commodity you want who happens to want exactly the commodity you offer.

    So instead of only acquiring goods he wants to use himself, a savvy merchant will build a reserve of commodities that are highly “saleable” or “liquid”: i.e., that have such a wide and steady demand, that it’s relatively easy to trade it at its full market exchange rate for just about anything he wants to buy. He accumulates these, not just to use himself, but to exchange for something else he does want to use.

    As the great Austrian economist Ludwig von Mises later characterized it, such goods become extra-valuable, because they have “exchange value” on top of their “use value.” They are no longer just commodities, but “media of exchange.” When a medium of exchange becomes so popular that it’s accepted as payment by virtually everyone in the economy, it is called a “money.”

    In presenting his “Regression Theorem,” Mises explained how a money’s value can be traced backward through time, all the way back to the first time it (or what it once represented) was first demanded as a medium of exchange as well as a commodity: and back still further, to when it was only demanded as a commodity.

    Bitcoin and the Regression Theorem

    Does the birth, existence, and continued success of Bitcoin invalidate Mises’s Regression Theorem?

    No. Economic phenomena cannot invalidate economic theory, just as topographical measurements cannot invalidate geometry.

    Whether Bitcoin is money or not is irrelevant.

    When economic phenomena and theory seem to disagree, that can indicate the inapplicability of the theory to the given phenomenon. To return to the geometry analogy, if your measurements of a triangle don’t seem to jibe with the Pythagorean Theorem, that may be due to the fact that the shape you’re measuring is not a right triangle, but a slightly acute one.

    This is what some critics of Bitcoin think is happening in this case. They say that Bitcoin is not money, and therefore not the kind of phenomenon to which the Regression Theorem refers.

    That position is untenable however, because, as Mises himself stated clearly, the Regression Theorem concerns any kind of medium of exchange, and not just a universal medium of exchange (money). So whether Bitcoin is money or not is irrelevant. It is certainly used as a medium of exchange by some people, even if it is not by everybody. And so, the Regression Theorem does indeed refer to Bitcoin.

    When economic phenomena and theory seem to disagree, that can also hint at the misapprehension of the phenomena in question. This is true in the same way that disagreement between triangle measurements and the Pythagorean Theorem may be due to the fact that, although the triangle being measured is a right triangle, its sides were measured incorrectly. Maybe the measurer accidentally used the inches edge of his ruler for one side, while using the centimeters edge for the other sides.

    This is what some proponents of Bitcoin think is happening in this case. They say that, contrary to common perception, Bitcoin does have commodity/use value, and not just monetary/exchange value, and therefore its existence is perfectly consistent with the Regression Theorem. For example, some say that the blockchain aspect of Bitcoin has use value.

    However, the issue is not whether Bitcoin has any use value at all, but whether its non-monetary use value is what first caused it to have any exchange value whatsoever. All of the proposed sources of Bitcoin use value (1) are not independent of Bitcoin’s prospective role as a medium of exchange, or (2) were not and could not have been broadly and highly valuable enough to alone give Bitcoin non-negligible liquidity.

    A Matter of Theory, Not History

    More fundamentally, the issue is not whether Bitcoin’s rise as a medium of exchange really was independent of commodity-use value, but whether it conceivably could have been.

    Mises wrote:

    “…no good can be employed for the function of a medium of exchange which at the very beginning of its use for this purpose did not have exchange value on account of other employments. (…) It must happen this way. Nobody can ever succeed in construction a hypothetical case in which things were to occur in a different way.”

    Whether it happened that way or not, it’s conceivable.

    However, such a hypothetical case can be made. Whether or not it actually occurred, we can hypothesize that the mysterious Satoshi Nakamoto created Bitcoin solely based on the expectation of it having future exchange value as a money. Whether or not it actually occurred, we can hypothesize that the first person who sold him something for Bitcoins did so, because Nakamoto convinced him of its money-ish qualities.

    Once these assumptions are made, this gives us a medium of exchange that cannot be traced back to a commodity. Whether it happened that way or not, it is conceivable, and the hypothesis involves no inner contradictions.

    This brings us to a third possible explanation for disagreement between economic theory and phenomena: perhaps the theory is indeed imperfect.

    Yet, any imperfection in an economic theory can only be due to imperfect reasoning. Imperfect reasoning can lead to disagreement between theory and phenomena. And therefore, disagreeing phenomena may be a hint that the theory was constructed with imperfect reasoning. But disagreeing phenomena alone does not invalidate the theory. It only gives the theorist a prompt to check his reasoning. It is then the discovery of imperfect reasoning alone that can invalidate an economic theorem.

    Similarly, if a geometry student thought that, for a right triangle, the sum of the squares of the legs equaled the cube (and not the square) of the hypotenuse, even that false theorem could not be invalidated by inconsistent measurements. Such measurements can only prompt the geometry student to seek out the faults in his reasoning that produced a fallacious theorem. Only the identification of those faults can actually invalidate the theorem.

    Check Your Premises

    So, the existence of Bitcoin does not, and could never, invalidate the Regression Theorem, or any other economic theorem (the Law of Demand, the Law of Comparative Advantage, etc.). It can, however, prompt us to check our reasoning.

    The essential core of the Regression Theorem is completely true and indispensable to economic theory.

    And by thinking through it, we can realize that it is perfectly conceivable that a digital, cryptographic “coin” could be used as a medium of exchange for the first time without ever being a commodity. It is perfectly conceivable that such a coin could be demanded based on forecasted exchange value alone.

    Furthermore, it is not true that, as some have claimed, a record of past valuations had to exist as reference points in order for future exchange value to be forecasted. It is perfectly conceivable that the first person who traded a pizza for Bitcoin, for example, had some vague notion that Bitcoin might some day become a valuable monetary unit, just based on, say, Nakamoto’s arguments to that effect.

    So does pure reasoning (which may happen to be prompted by the existence of Bitcoin) invalidate the Regression Theorem?

    No. It does modify it. But the essential core of the Regression Theorem is completely true and indispensable to economic theory. Some proponents of Bitcoin think otherwise, but only because of a common misunderstanding of what the essence of the Regression Theorem is.

    The Main Contribution

    Most fans of Austrian economics put too much emphasis on how the regression in Mises’s theorem terminates (how it traces back to a commodity). But that is not what makes the Regression Theorem such an important advance for economics. After all, it is not called the Regression Terminus Theorem. The key element of the theorem is not the regression’s terminus, but the regression itself.

    Mises explained in Human Action that:

    …the demand for a medium of exchange is the composite of two partial demands: the demand displayed by the intention to use it in consumption and production and that displayed by the intention to use it as a medium of exchange. With regard to modern metallic money one speaks of the industrial demand and of the monetary demand. The value in exchange (purchasing power) of a medium of exchange is the resultant of the cumulative effect of both partial demands.

    Now the extent of that part of the demand for a medium of exchange which is displayed on account of its service as a medium of exchange depends on its value in exchange. This fact raises difficulties which many economists considered insoluble so that they abstained from following farther along this line of reasoning. It is illogical, they said, to explain the purchasing power of money by reference to the demand for money, and the demand for money by reference to its purchasing power.

    Put briefly, the problem boils down to the seemingly circular logic of saying that, “value comes from utility, which comes from value.”

    This problem of circularity is why, before Mises’s great contribution in his 1912 Theory of Money and Credit, many theorists criticized the marginal utility theory of value (and the subjectivist economics that was based on it) as being discredited by its seemingly problematic application to money. Mises’s great contribution was to vindicate the subjectivist economics by breaking out of this circle with his regression. As Mises continued:

    The difficulty is, however, merely apparent. The purchasing power which we explain by referring to the extent of specific demand is not the same purchasing power the height of which determines this specific demand. The problem is to conceive the determination of the purchasing power of the immediate future, of the impending moment. For the solution of this problem we refer to the purchasing power of the immediate past, of the moment just passed. These are two distinct magnitudes. It is erroneous to object to our theorem, which may be called the regression theorem, that it moves in a vicious circle.

    The evolution of any widely-used medium of exchange simply cannot be understood without the “temporal regression” essence of Mises’s Regression Theorem. Again, it is absolutely essential for sound, subjective-value-based economic theory.

    Mises’s addition of the “commodity terminus” to the Regression Theorem was merely a matter of tying up a loose end:

    But, say the critics, this is tantamount to merely pushing back the problem. For now one must still explain the determination of yesterday’s purchasing power. If one explains this in the same way by referring to the purchasing power of the day before yesterday and so on, one slips into a regressus in infinitum. This reasoning, they assert, is certainly not a complete and logically satisfactory solution of the problem involved. What these critics fail to see is that the regression does not go back endlessly. It reaches a point at which the explanation is completed and no further question remains unanswered. If we trace the purchasing power of money back step by step, we finally arrive at the point at which the service of the good concerned as a medium of exchange begins. At this point yesterday’s exchange value is exclusively determined by the nonmonetary — industrial — demand which is displayed only by those who want to use this good for other employments than that of a medium of exchange.

    This “commodity terminus” is perfectly conceivable and extremely likely in nearly all cases. But again, it is not the only conceivable starting point. Another conceivable beginning, especially in a world in which money is already a well-known phenomenon, is the initial instance of exchange value being entirely determined by monetary demand based purely on “hunch”-based forecasts of future purchasing power. Once a record of purchasing power is established, past purchasing power must be taken into account when explaining present purchasing power. But there needn’t necessarily be such a record for the first flickering of purchasing power to occur.

    Ludwig von Mises’s Regression Theorem was one of the most brilliant and crucial advances in the history of monetary economics. It is only its merely-auxiliary proposition concerning how the regression must end that should be modified in light of the conceivability of digital cryptocurrencies.

    The Regression Theorem’s essential proposition stands as indispensable and as unassailably true today as it was in 1912, and as it will be in the year 3012.


    Dan Sanchez

    Dan Sanchez is Managing Editor of FEE.org. His writings are collected at DanSanchez.me.

    This article was originally published on FEE.org. Read the original article.