Robert Shiller on Bitcoin and Bimetallism - Alt-M

Robinhood vs. The Paywall

Paywalls are, technologically speaking, quite fragile. In fact, as of today, if you are quick enough at the keyboard, you can easily copy the full text of a New York Times article before the Javascript kicks in and trims it.
I do this sometimes and I have a fast machine and a fast internet connection, which should make it harder. Other sites are more clever, but for the most part, paywalls are still a bit of a joke.
However, they're getting a lot better and more prevalent. I can imagine that right now an engineer at NYT is working on a better paywall with no practical way of cheating it.
All that aside, an article is just a piece of ordered text and some formatting, and I don't see that changing any time soon. Once you're past the paywall, the text just sits there in your browser, or in your email, or whatever. It can be viewed, copied, pasted, or read by a 3rd party extension.
What would it take, practically speaking, to "Robinhood" that text and make it freely available to everyone whether or not they've paid for it? There are numerous ways to access paywalled content today, which I won't share but aren't hard to find. But I'm interested in whether or not there is a solution that is so robust that it backs publishers into a corner where they need to find another way to make money. And when I say "robust" I mostly mean "legal", because I am assuming that any illegal method would ultimately lose out in a game of legal whack-a-mole (think torrent trackers or darknet markets).
Anyways, some initial considerations...
  1. You'd have to have at least one participant who has access to the paywalled content, but ideally many more than that who can all participate in tossing the content back over the paywall.
  2. You would need to have an immutable and accessible place to put the paywalled content so that other people could point their browsers to that location and see the same content that they would if they were looking at the source.
  3. As noted, you'd want to eliminate as much legal risk as possible. That goes for both the content "suppliers" and the content "consumers" (or, Robinhood and those he gives to).
I am not sure exactly what would happen if I just started copying and pasting paywalled content on, say, Reddit, but I am pretty sure it would catch up with me eventually because I am explicitly re-publishing. This solution would need to be so foolproof that it would put those who would otherwise enforce against it in an untenable position.
So, bear with me, here's what I want to know: how flawed, immoral, antisocial, and generally lacking is the following idea? My suspicion is that it is a pretty bad idea and is also pretty naive, but it's still been fun to think about and maybe some of you would like to discuss it. I am interested in any implications that come to mind.
~
The idea:
If you want to participate in this scheme, you install a browser extension. If you have access to any paywalled content, then every time you visit a page and view that content, the browser extension grabs the text and compresses it to its smallest possible representation.
Next, the browser extension make the smallest possible arbitrary transaction on the blockchain (looks to be about $0.06 currently), and stores as much of the article as it can fit in the OP_RETURN field, which is basically just a blank field for arbitrary text and currently has a size limit of 256 bytes (Note: There are tons of similar ways to accomplish the same thing, any many better blockchains for this use case. I just don't really keep up with the smaller blockchains and think that we can use the Bitcoin blockchain as a simple way to demonstrate the idea).
It may take a few transactions to store an entire article, but once it's part of the blockchain, it's there forever, and anyone who would want to subsequently view that article would only need to have access to the indices of the transactions and software that can de-compress the OP_RETURN values and reconstruct the article. I imagine this would also happen in the browser extension.
In this way, it's a lot like private torrent trackers. Everybody shares what they have access to, and the pieces of data that comprise the underlying media fly around the network freely. The software client is responsible for piecing them together and making the data cohesive for a given end user.
Today, a torrent client is completely legal, but having pirated media on your computer is not. Also, I'm pretty sure that opening your media collection to peers is also illegal, but I'm not actually sure.
Using the blockchain as the storage mechanism changes the calculus a little bit. You're not storing any pirated data on your machine, rather, you are stashing bits and pieces of it in a decentralized ledger, which nobody owns, meaning that nobody is really accountable for it. It's also impossible to take down.
The question of legality here is something like "are you allowed to include copyrighted works in transaction text on the blockchain?". And if not, how many chunks would the article need to be broken apart into to make it no long "The Article", but rather just pieces of arbitrary data which, if put together in the right order, would happen to reproduce "The Article"? Someone who is more knowledgable than I am would need to chime in here.
~
I wanted to get a sense of if this is even practical so I grabbed the text from a NYT article called "Opinion | No, the Democrats Haven’t Gone Over the Edge" by David Brooks.
After running the text through 1000 rounds of compression I got it down to 2702 bytes. The current OP_RETURN size limit for a BTC transaction is 256 bytes, so you would need to make around 10 transactions to store this single article.
And each transaction has a fee that goes to miners, which appears to be around 128 satoshis/byte according to https://privacypros.io/tools/bitcoin-fee-estimato
The BTC sent in a given transaction is recoverable, because it could be sent to a wallet that is owned by the sender, but the fees are unavoidable. Given the current rate, storing a NYT Opinion article on the Bitcoin blockchain, forever, would cost about 2707 * 128 Satoshis, or roughly $37.
So my immediate thought is wow that's expensive. I also know that it's frowned upon by the Bitcoin community and would be perceived as antagonistic by the miners. But my guess is that there's a better way to accomplish the same thing (again, off-chain transactions or using a totally different blockchain such as Ethereum, or BSV).
In fact, in "The unfuckening of OP_RETURN", Shadders shows that one can practically store up to 100kb of text in a given BSV transaction (BSV is a fork of bitcoin, which aims to align more with Satoshi's "original" vision).
The result of Shadders experiment? Well, here's the complete prequel to "Alice and Wonderland" in a single transaction, on the blockchain, forever: https://whatsonchain.com/tx/ef21e71d00b9fce174222e679640b09e29ac8a55f321c93e64b16cc3109959f8
Good thing Alice and Wonderland is in the public domain, right? Or... should it even matter what's "public" and what's "paywalled"?
What do you think?
submitted by mrctte to TheMotte [link] [comments]

A criticism of the article "Six monetarist errors: why emission won't feed inflation"

(be gentle, it's my first RI attempt, :P; I hope I can make justice to the subject, this is my layman understanding of many macro subjects which may be flawed...I hope you can illuminate me if I have fallen short of a good RI)
Introduction
So, today a heterodox leaning Argentinian newspaper, Ambito Financiero, published an article criticizing monetarism called "Six monetarist errors: why emission won't feed inflation". I find it doesn't properly address monetarism, confuses it with other "economic schools" for whatever the term is worth today and it may be misleading, so I was inspired to write a refutation and share it with all of you.
In some ways criticizing monetarism is more of a historical discussion given the mainstream has changed since then. Stuff like New Keynesian models are the bleeding edge, not Milton Friedman style monetarism. It's more of a symptom that Argentinian political culture is kind of stuck in the 70s on economics that this things keep being discussed.
Before getting to the meat of the argument, it's good to have in mind some common definitions about money supply measures (specifically, MB, M1 and M2). These definitions apply to US but one can find analogous stuff for other countries.
Argentina, for the lack of access to credit given its economic mismanagement and a government income decrease because of the recession, is monetizing deficits way more than before (like half of the budget, apparently, it's money financed) yet we have seen some disinflation (worth mentioning there are widespread price freezes since a few months ago). The author reasons that monetary phenomena cannot explain inflation properly and that other explanations are needed and condemns monetarism. Here are the six points he makes:
1.Is it a mechanical rule?
This way, we can ask by symmetry: if a certainty exists that when emission increases, inflation increases, the reverse should happen when emission becomes negative, obtaining negative inflation. Nonetheless, we know this happens: prices have an easier time increasing and a lot of rigidity decreasing. So the identity between emission and inflation is not like that, deflation almost never exists and the price movement rhythm cannot be controlled remotely only with money quantity. There is no mechanical relationship between one thing and the other.
First, the low hanging fruit: deflation is not that uncommon, for those of you that live in US and Europe it should be obvious given the difficulties central banks had to achieve their targets, but even Argentina has seen deflation during its depression 20 years ago.
Second, we have to be careful with what we mean by emission. A statement of quantity theory of money (extracted from "Money Growth and Inflation: How Long is the Long-Run?") would say:
Inflation occurs when the average level of prices increases. Individual price increases in and of themselves do not equal inflation, but an overall pattern of price increases does. The price level observed in the economy is that which leads the quantity of money supplied to equal the quantity of money demanded. The quantity of money supplied is largely controlled by the [central bank]. When the supply of money increases or decreases, the price level must adjust to equate the quantity of money demanded throughout the economy with the quantity of money supplied. The quantity of money demanded depends not only on the price level but also on the level of real income, as measured by real gross domestic product (GDP), and a variety of other factors including the level of interest rates and technological advances such as the invention of automated teller machines. Money demand is widely thought to increase roughly proportionally with the price level and with real income. That is, if prices go up by 10 percent, or if real income increases by 10 percent, empirical evidence suggests people want to hold 10 percent more money. When the money supply grows faster than the money demand associated with rising real incomes and other factors, the price level must rise to equate supply and demand. That is, inflation occurs. This situation is often referred to as too many dollars chasing too few goods. Note that this theory does not predict that any money-supply growth will lead to inflation—only that part of money supply growth that exceeds the increase in money demand associated with rising real GDP (holding the other factors constant).
So it's not mere emission, but money supply growing faster than money demand which we should consider. So negative emission is not necessary condition for deflation in this theory.
It's worth mentioning that the relationship with prices is observed for a broad measure of money (M2) and after a lag. From the same source of this excerpt one can observe in Fig. 3a the correlation between inflation and money growth for US becomes stronger the longer data is averaged. Price rigidities don't have to change this long term relationship per se.
But what about causality and Argentina? This neat paper shows regressions in two historical periods: 1976-1989 and 1991-2001. The same relationship between M2 and inflation is observed, stronger in the first, highly inflationary period and weaker in the second, more stable, period. The regressions a 1-1 relationship in the high inflation period but deviates a bit in the low inflation period (yet the relationship is still there). Granger causality, as interpreted in the paper, shows prices caused money growth in the high inflation period (arguably because spending was monetized) while the reverse was true for the more stable period.
So one can argue that there is a mechanical relationship, albeit one that is more complicated than simple QTOM theory. The relationship is complicated too for low inflation economies, it gets more relevant the higher inflation is.
Another point the author makes is that liquidity trap is often ignored. I'll ignore the fact that you need specific conditions for the liquidity trap to be relevant to Argentina and address the point. Worth noting that while market monetarists (not exactly old fashioned monetarists) prefer alternative explanations for monetary policy with very low interest rates, this phenomena has a good monetary basis, as explained by Krugman in his famous japanese liquidity trap paper and his NYT blog (See this and this for some relevant articles). The simplified version is that while inflation may follow M2 growth with all the qualifiers needed, central banks may find difficulties targeting inflation when interest rates are low and agents are used to credible inflation targets. Central banks can change MB, not M2 and in normal times is good enough, but at those times M2 is out of control and "credibly irresponsible" policies are needed to return to normal (a more detailed explanation can be found in that paper I just linked, go for it if you are still curious).
It's not like monetary policy is not good, it's that central banks have to do very unconventional stuff to achieve in a low interest rate environment. It's still an open problem but given symmetric inflation targeting policies are becoming more popular I'm optimistic.
2 - Has inflation one or many causes?
In Argentina we know that the main determinant of inflation is dollar price increases. On that, economic concentration of key markets, utility price adjustments, fuel prices, distributive struggles, external commodity values, expectatives, productive disequilibrium, world interest rates, the economic cycle, stationality and external sector restrictions act on it too.
Let's see a simple example: during Macri's government since mid 2017 to 2019 emission was practically null, but when in 2018 the dollar value doubled, inflation doubled too (it went from 24% to 48% in 2018) and it went up again a year later. We see here that the empirical validity of monetarist theory was absent.
For the first paragraph, one could try to run econometric tests for all those variables, at least from my layman perspective. But given that it doesn't pass the smell test (has any country used that in its favor ignoring monetary policy? Also, I have shown there is at least some evidence for the money-price relationship before), I'll try to address what happened in Macri's government and if monetarism (or at least some reasonable extension of it) cannot account for it.
For a complete description of macroeconomic policy on that period, Sturzenegger account is a good one (even if a bit unreliable given he was the central banker for that government and he is considered to have been a failure). The short version is that central banks uses bonds to manage monetary policy and absorb money; given the history of defaults for the country, the Argentinian Central Bank (BCRA) uses its own peso denominated bonds instead of using treasury bonds. At that time period, the BCRA still financed the treasury but the amount got reduced. Also, it emitted pesos to buy dollar reserves, then sterilized them, maybe risking credibility further.
Near the end of 2017 it was evident the government had limited appetite for budget cuts, it had kind of abandoned its inflation target regime and the classic problem of fiscal dominance emerged, as it's shown in the classic "Unpleasant monetarist arithmetic" paper by Wallace and Sargent. Monetary policy gets less effective when the real value of bonds falls, and raising interest rates may be counterproductive in that environment. Rational expectations are needed to complement QTOM.
So, given that Argentina promised to go nowhere with reform, it was expected that money financing would increase at some point in the future and BCRA bonds were dumped in 2018 and 2019 as their value was perceived to have decreased, and so peso demand decreased. It's not that the dollar value increased and inflation followed, but instead that peso demand fell suddenly!
The IMF deal asked for MB growth to be null or almost null but that doesn't say a lot about M2 (which it's the relevant variable here). Without credible policies, the peso demand keeps falling because bonds are dumped even more (see 2019 for a hilariously brutal example of that).
It's not emission per se, but rather that it doesn't adjust properly to peso demand (which is falling). That doesn't mean increasing interest rates is enough to achieve it, following Wallace and Sargent model.
This is less a strict proof that a monetary phenomenon is involved and more stating that the author hasn't shown any problem with that, there are reasonable models for this situation. It doesn't look like an clear empirical failure to me yet.
3 - Of what we are talking about when we talk about emission?
The author mentions many money measures (M0, M1, M2) but it doesn't address it meaningfully as I tried to do above. It feels more like a rhetorical device because there is no point here except "this stuff exists".
Also, it's worth pointing that there are actual criticisms to make to Friedman on those grounds. He failed to forecast US inflation at some points when he switched to M1 instead of using M2, although he later reverted that. Monetarism kind of "failed" there (it also "failed" in the sense that modern central banks don't use money, but instead interest rates as their main tool; "failed" because despite being outdated, it was influential to modern central banking). This is often brought to this kind of discussions like if economics hasn't moved beyond that. For an account of Friedman thoughts on monetary policies and his failures, see this.
4 - Why do many countries print and inflation doesn't increase there?
There is a mention about the japanese situation in the 90s (the liquidity trap) which I have addressed.
The author mentions that many countries "printed" like crazy during the pandemic, and he says:
Monetarism apologists answer, when confronted with those grave empirical problems that happen in "serious countries", that the population "trusts" their monetary authorities, even increasing the money demand in those place despite the emission. Curious, though, it's an appeal to "trust" implying that the relationship between emission and inflation is not objective, but subjective and cultural: an appreciation that abandons mechanicism and the basic certainty of monetarism, because evaluations and diagnostics, many times ideologic, contextual or historical intervene..
That's just a restatement of applying rational expectations to central bank operations. I don't see a problem with that. Rational expectations is not magic, it's an assessment of future earnings by economic actors. Humans may not 100% rational but central banking somehow works on many countries. You cannot just say that people are ideologues and let it at that. What's your model?
Worth noting the author shills for bitcoin a bit in this section, for more cringe.
5 - Are we talking of a physical science or a social science?
Again, a vague mention of rational expectations ("populists and pro market politicians could do the same policies with different results because of how agents respond ideologically and expectatives") without handling the subject meaningfully. It criticizes universal macroeconomic rules that apply everywhere (this is often used to dismiss evidence from other countries uncritically more than as a meaningful point).
6 - How limits work?
The last question to monetarism allows to recognize it something: effectively we can think on a type of vinculation between emission and inflation in extreme conditions. That means, with no monetary rule, no government has the need of taxes but instead can emit and spend all it needs without consequence. We know it's not like that: no government can print infinitely without undesirable effects.
Ok, good disclaimer, but given what he wrote before, what's the mechanism which causes money printing to be inflationary at some point? It was rejected before but now it seems that it exists. What was even the point of the article?
Now, the problem is thinking monetarism on its extremes: without emission we have inflation sometimes, on others we have no inflation with emission, we know that if we have negative emission that doesn't guarantees us negative inflation, but that if emission is radically uncontrolled there will economic effects.
As I wrote above, that's not what monetarism (even on it's simpler form) says, nor a consequence of it. You can see some deviations in low inflation environment but it's not really Argentina's current situation.
Let's add other problems: the elastic question between money and prices is not evident. Neither is time lags in which can work or be neutral. So the question is the limit cases for monetarism which has some reason but some difficulty in explaining them: by which and it what moments rules work and in which it doesn't.
I find the time lag thing to be a red herring. You can observe empirically and not having a proper short/middle run model doesn't invalidate QTOM in the long run. While it may be that increasing interest rates or freezing MB is not effective, that's less a problem of the theory and more a problem of policy implementation.
Conclusion:
I find that the article doesn't truly get monetarism to begin with (see the points it makes about emission and money demand), neither how it's implemented in practice, nor seems to be aware of more modern theories that, while put money on the background, don't necessarily invalidate it (rational expectation ideas, and eventually New Keynesian stuff which addresses stuff like liquidity traps properly).
There are proper criticisms to be made to Friedman old ideas but he still was a relevant man in his time and the economic community has moved on to new, better theories that have some debt to it. I feel most economic discussion about monetarism in Argentina is a strawman of mainstream economics or an attack on Austrians more than genuine points ("monetarism" is used as a shorthand for those who think inflation is a monetary phenomenon more than referring to Friedman and his disciples per se).
submitted by Neronoah to badeconomics [link] [comments]

Why i’m bullish on Zilliqa (long read)

Edit: TL;DR added in the comments
 
Hey all, I've been researching coins since 2017 and have gone through 100s of them in the last 3 years. I got introduced to blockchain via Bitcoin of course, analyzed Ethereum thereafter and from that moment I have a keen interest in smart contact platforms. I’m passionate about Ethereum but I find Zilliqa to have a better risk-reward ratio. Especially because Zilliqa has found an elegant balance between being secure, decentralized and scalable in my opinion.
 
Below I post my analysis of why from all the coins I went through I’m most bullish on Zilliqa (yes I went through Tezos, EOS, NEO, VeChain, Harmony, Algorand, Cardano etc.). Note that this is not investment advice and although it's a thorough analysis there is obviously some bias involved. Looking forward to what you all think!
 
Fun fact: the name Zilliqa is a play on ‘silica’ silicon dioxide which means “Silicon for the high-throughput consensus computer.”
 
This post is divided into (i) Technology, (ii) Business & Partnerships, and (iii) Marketing & Community. I’ve tried to make the technology part readable for a broad audience. If you’ve ever tried understanding the inner workings of Bitcoin and Ethereum you should be able to grasp most parts. Otherwise, just skim through and once you are zoning out head to the next part.
 
Technology and some more:
 
Introduction
 
The technology is one of the main reasons why I’m so bullish on Zilliqa. First thing you see on their website is: “Zilliqa is a high-performance, high-security blockchain platform for enterprises and next-generation applications.” These are some bold statements.
 
Before we deep dive into the technology let’s take a step back in time first as they have quite the history. The initial research paper from which Zilliqa originated dates back to August 2016: Elastico: A Secure Sharding Protocol For Open Blockchains where Loi Luu (Kyber Network) is one of the co-authors. Other ideas that led to the development of what Zilliqa has become today are: Bitcoin-NG, collective signing CoSi, ByzCoin and Omniledger.
 
The technical white paper was made public in August 2017 and since then they have achieved everything stated in the white paper and also created their own open source intermediate level smart contract language called Scilla (functional programming language similar to OCaml) too.
 
Mainnet is live since the end of January 2019 with daily transaction rates growing continuously. About a week ago mainnet reached 5 million transactions, 500.000+ addresses in total along with 2400 nodes keeping the network decentralized and secure. Circulating supply is nearing 11 billion and currently only mining rewards are left. The maximum supply is 21 billion with annual inflation being 7.13% currently and will only decrease with time.
 
Zilliqa realized early on that the usage of public cryptocurrencies and smart contracts were increasing but decentralized, secure, and scalable alternatives were lacking in the crypto space. They proposed to apply sharding onto a public smart contract blockchain where the transaction rate increases almost linear with the increase in the amount of nodes. More nodes = higher transaction throughput and increased decentralization. Sharding comes in many forms and Zilliqa uses network-, transaction- and computational sharding. Network sharding opens up the possibility of using transaction- and computational sharding on top. Zilliqa does not use state sharding for now. We’ll come back to this later.
 
Before we continue dissecting how Zilliqa achieves such from a technological standpoint it’s good to keep in mind that a blockchain being decentralised and secure and scalable is still one of the main hurdles in allowing widespread usage of decentralised networks. In my opinion this needs to be solved first before blockchains can get to the point where they can create and add large scale value. So I invite you to read the next section to grasp the underlying fundamentals. Because after all these premises need to be true otherwise there isn’t a fundamental case to be bullish on Zilliqa, right?
 
Down the rabbit hole
 
How have they achieved this? Let’s define the basics first: key players on Zilliqa are the users and the miners. A user is anybody who uses the blockchain to transfer funds or run smart contracts. Miners are the (shard) nodes in the network who run the consensus protocol and get rewarded for their service in Zillings (ZIL). The mining network is divided into several smaller networks called shards, which is also referred to as ‘network sharding’. Miners subsequently are randomly assigned to a shard by another set of miners called DS (Directory Service) nodes. The regular shards process transactions and the outputs of these shards are eventually combined by the DS shard as they reach consensus on the final state. More on how these DS shards reach consensus (via pBFT) will be explained later on.
 
The Zilliqa network produces two types of blocks: DS blocks and Tx blocks. One DS Block consists of 100 Tx Blocks. And as previously mentioned there are two types of nodes concerned with reaching consensus: shard nodes and DS nodes. Becoming a shard node or DS node is being defined by the result of a PoW cycle (Ethash) at the beginning of the DS Block. All candidate mining nodes compete with each other and run the PoW (Proof-of-Work) cycle for 60 seconds and the submissions achieving the highest difficulty will be allowed on the network. And to put it in perspective: the average difficulty for one DS node is ~ 2 Th/s equaling 2.000.000 Mh/s or 55 thousand+ GeForce GTX 1070 / 8 GB GPUs at 35.4 Mh/s. Each DS Block 10 new DS nodes are allowed. And a shard node needs to provide around 8.53 GH/s currently (around 240 GTX 1070s). Dual mining ETH/ETC and ZIL is possible and can be done via mining software such as Phoenix and Claymore. There are pools and if you have large amounts of hashing power (Ethash) available you could mine solo.
 
The PoW cycle of 60 seconds is a peak performance and acts as an entry ticket to the network. The entry ticket is called a sybil resistance mechanism and makes it incredibly hard for adversaries to spawn lots of identities and manipulate the network with these identities. And after every 100 Tx Blocks which corresponds to roughly 1,5 hour this PoW process repeats. In between these 1,5 hour, no PoW needs to be done meaning Zilliqa’s energy consumption to keep the network secure is low. For more detailed information on how mining works click here.
Okay, hats off to you. You have made it this far. Before we go any deeper down the rabbit hole we first must understand why Zilliqa goes through all of the above technicalities and understand a bit more what a blockchain on a more fundamental level is. Because the core of Zilliqa’s consensus protocol relies on the usage of pBFT (practical Byzantine Fault Tolerance) we need to know more about state machines and their function. Navigate to Viewblock, a Zilliqa block explorer, and just come back to this article. We will use this site to navigate through a few concepts.
 
We have established that Zilliqa is a public and distributed blockchain. Meaning that everyone with an internet connection can send ZILs, trigger smart contracts, etc. and there is no central authority who fully controls the network. Zilliqa and other public and distributed blockchains (like Bitcoin and Ethereum) can also be defined as state machines.
 
Taking the liberty of paraphrasing examples and definitions given by Samuel Brooks’ medium article, he describes the definition of a blockchain (like Zilliqa) as: “A peer-to-peer, append-only datastore that uses consensus to synchronize cryptographically-secure data”.
 
Next, he states that: "blockchains are fundamentally systems for managing valid state transitions”. For some more context, I recommend reading the whole medium article to get a better grasp of the definitions and understanding of state machines. Nevertheless, let’s try to simplify and compile it into a single paragraph. Take traffic lights as an example: all its states (red, amber, and green) are predefined, all possible outcomes are known and it doesn’t matter if you encounter the traffic light today or tomorrow. It will still behave the same. Managing the states of a traffic light can be done by triggering a sensor on the road or pushing a button resulting in one traffic lights’ state going from green to red (via amber) and another light from red to green.
 
With public blockchains like Zilliqa, this isn’t so straightforward and simple. It started with block #1 almost 1,5 years ago and every 45 seconds or so a new block linked to the previous block is being added. Resulting in a chain of blocks with transactions in it that everyone can verify from block #1 to the current #647.000+ block. The state is ever changing and the states it can find itself in are infinite. And while the traffic light might work together in tandem with various other traffic lights, it’s rather insignificant comparing it to a public blockchain. Because Zilliqa consists of 2400 nodes who need to work together to achieve consensus on what the latest valid state is while some of these nodes may have latency or broadcast issues, drop offline or are deliberately trying to attack the network, etc.
 
Now go back to the Viewblock page take a look at the amount of transaction, addresses, block and DS height and then hit refresh. Obviously as expected you see new incremented values on one or all parameters. And how did the Zilliqa blockchain manage to transition from a previous valid state to the latest valid state? By using pBFT to reach consensus on the latest valid state.
 
After having obtained the entry ticket, miners execute pBFT to reach consensus on the ever-changing state of the blockchain. pBFT requires a series of network communication between nodes, and as such there is no GPU involved (but CPU). Resulting in the total energy consumed to keep the blockchain secure, decentralized and scalable being low.
 
pBFT stands for practical Byzantine Fault Tolerance and is an optimization on the Byzantine Fault Tolerant algorithm. To quote Blockonomi: “In the context of distributed systems, Byzantine Fault Tolerance is the ability of a distributed computer network to function as desired and correctly reach a sufficient consensus despite malicious components (nodes) of the system failing or propagating incorrect information to other peers.” Zilliqa is such a distributed computer network and depends on the honesty of the nodes (shard and DS) to reach consensus and to continuously update the state with the latest block. If pBFT is a new term for you I can highly recommend the Blockonomi article.
 
The idea of pBFT was introduced in 1999 - one of the authors even won a Turing award for it - and it is well researched and applied in various blockchains and distributed systems nowadays. If you want more advanced information than the Blockonomi link provides click here. And if you’re in between Blockonomi and the University of Singapore read the Zilliqa Design Story Part 2 dating from October 2017.
Quoting from the Zilliqa tech whitepaper: “pBFT relies upon a correct leader (which is randomly selected) to begin each phase and proceed when the sufficient majority exists. In case the leader is byzantine it can stall the entire consensus protocol. To address this challenge, pBFT offers a view change protocol to replace the byzantine leader with another one.”
 
pBFT can tolerate ⅓ of the nodes being dishonest (offline counts as Byzantine = dishonest) and the consensus protocol will function without stalling or hiccups. Once there are more than ⅓ of dishonest nodes but no more than ⅔ the network will be stalled and a view change will be triggered to elect a new DS leader. Only when more than ⅔ of the nodes are dishonest (66%) double-spend attacks become possible.
 
If the network stalls no transactions can be processed and one has to wait until a new honest leader has been elected. When the mainnet was just launched and in its early phases, view changes happened regularly. As of today the last stalling of the network - and view change being triggered - was at the end of October 2019.
 
Another benefit of using pBFT for consensus besides low energy is the immediate finality it provides. Once your transaction is included in a block and the block is added to the chain it’s done. Lastly, take a look at this article where three types of finality are being defined: probabilistic, absolute and economic finality. Zilliqa falls under the absolute finality (just like Tendermint for example). Although lengthy already we skipped through some of the inner workings from Zilliqa’s consensus: read the Zilliqa Design Story Part 3 and you will be close to having a complete picture on it. Enough about PoW, sybil resistance mechanism, pBFT, etc. Another thing we haven’t looked at yet is the amount of decentralization.
 
Decentralisation
 
Currently, there are four shards, each one of them consisting of 600 nodes. 1 shard with 600 so-called DS nodes (Directory Service - they need to achieve a higher difficulty than shard nodes) and 1800 shard nodes of which 250 are shard guards (centralized nodes controlled by the team). The amount of shard guards has been steadily declining from 1200 in January 2019 to 250 as of May 2020. On the Viewblock statistics, you can see that many of the nodes are being located in the US but those are only the (CPU parts of the) shard nodes who perform pBFT. There is no data from where the PoW sources are coming. And when the Zilliqa blockchain starts reaching its transaction capacity limit, a network upgrade needs to be executed to lift the current cap of maximum 2400 nodes to allow more nodes and formation of more shards which will allow to network to keep on scaling according to demand.
Besides shard nodes there are also seed nodes. The main role of seed nodes is to serve as direct access points (for end-users and clients) to the core Zilliqa network that validates transactions. Seed nodes consolidate transaction requests and forward these to the lookup nodes (another type of nodes) for distribution to the shards in the network. Seed nodes also maintain the entire transaction history and the global state of the blockchain which is needed to provide services such as block explorers. Seed nodes in the Zilliqa network are comparable to Infura on Ethereum.
 
The seed nodes were first only operated by Zilliqa themselves, exchanges and Viewblock. Operators of seed nodes like exchanges had no incentive to open them for the greater public. They were centralised at first. Decentralisation at the seed nodes level has been steadily rolled out since March 2020 ( Zilliqa Improvement Proposal 3 ). Currently the amount of seed nodes is being increased, they are public-facing and at the same time PoS is applied to incentivize seed node operators and make it possible for ZIL holders to stake and earn passive yields. Important distinction: seed nodes are not involved with consensus! That is still PoW as entry ticket and pBFT for the actual consensus.
 
5% of the block rewards are being assigned to seed nodes (from the beginning in 2019) and those are being used to pay out ZIL stakers. The 5% block rewards with an annual yield of 10.03% translate to roughly 610 MM ZILs in total that can be staked. Exchanges use the custodial variant of staking and wallets like Moonlet will use the non-custodial version (starting in Q3 2020). Staking is being done by sending ZILs to a smart contract created by Zilliqa and audited by Quantstamp.
 
With a high amount of DS; shard nodes and seed nodes becoming more decentralized too, Zilliqa qualifies for the label of decentralized in my opinion.
 
Smart contracts
 
Let me start by saying I’m not a developer and my programming skills are quite limited. So I‘m taking the ELI5 route (maybe 12) but if you are familiar with Javascript, Solidity or specifically OCaml please head straight to Scilla - read the docs to get a good initial grasp of how Zilliqa’s smart contract language Scilla works and if you ask yourself “why another programming language?” check this article. And if you want to play around with some sample contracts in an IDE click here. The faucet can be found here. And more information on architecture, dapp development and API can be found on the Developer Portal.
If you are more into listening and watching: check this recent webinar explaining Zilliqa and Scilla. Link is time-stamped so you’ll start right away with a platform introduction, roadmap 2020 and afterwards a proper Scilla introduction.
 
Generalized: programming languages can be divided into being ‘object-oriented’ or ‘functional’. Here is an ELI5 given by software development academy: * “all programs have two basic components, data – what the program knows – and behavior – what the program can do with that data. So object-oriented programming states that combining data and related behaviors in one place, is called “object”, which makes it easier to understand how a particular program works. On the other hand, functional programming argues that data and behavior are different things and should be separated to ensure their clarity.” *
 
Scilla is on the functional side and shares similarities with OCaml: OCaml is a general-purpose programming language with an emphasis on expressiveness and safety. It has an advanced type system that helps catch your mistakes without getting in your way. It's used in environments where a single mistake can cost millions and speed matters, is supported by an active community, and has a rich set of libraries and development tools. For all its power, OCaml is also pretty simple, which is one reason it's often used as a teaching language.
 
Scilla is blockchain agnostic, can be implemented onto other blockchains as well, is recognized by academics and won a so-called Distinguished Artifact Award award at the end of last year.
 
One of the reasons why the Zilliqa team decided to create their own programming language focused on preventing smart contract vulnerabilities is that adding logic on a blockchain, programming, means that you cannot afford to make mistakes. Otherwise, it could cost you. It’s all great and fun blockchains being immutable but updating your code because you found a bug isn’t the same as with a regular web application for example. And with smart contracts, it inherently involves cryptocurrencies in some form thus value.
 
Another difference with programming languages on a blockchain is gas. Every transaction you do on a smart contract platform like Zilliqa or Ethereum costs gas. With gas you basically pay for computational costs. Sending a ZIL from address A to address B costs 0.001 ZIL currently. Smart contracts are more complex, often involve various functions and require more gas (if gas is a new concept click here ).
 
So with Scilla, similar to Solidity, you need to make sure that “every function in your smart contract will run as expected without hitting gas limits. An improper resource analysis may lead to situations where funds may get stuck simply because a part of the smart contract code cannot be executed due to gas limits. Such constraints are not present in traditional software systems”. Scilla design story part 1
 
Some examples of smart contract issues you’d want to avoid are: leaking funds, ‘unexpected changes to critical state variables’ (example: someone other than you setting his or her address as the owner of the smart contract after creation) or simply killing a contract.
 
Scilla also allows for formal verification. Wikipedia to the rescue: In the context of hardware and software systems, formal verification is the act of proving or disproving the correctness of intended algorithms underlying a system with respect to a certain formal specification or property, using formal methods of mathematics.
 
Formal verification can be helpful in proving the correctness of systems such as: cryptographic protocols, combinational circuits, digital circuits with internal memory, and software expressed as source code.
 
Scilla is being developed hand-in-hand with formalization of its semantics and its embedding into the Coq proof assistant — a state-of-the art tool for mechanized proofs about properties of programs.”
 
Simply put, with Scilla and accompanying tooling developers can be mathematically sure and proof that the smart contract they’ve written does what he or she intends it to do.
 
Smart contract on a sharded environment and state sharding
 
There is one more topic I’d like to touch on: smart contract execution in a sharded environment (and what is the effect of state sharding). This is a complex topic. I’m not able to explain it any easier than what is posted here. But I will try to compress the post into something easy to digest.
 
Earlier on we have established that Zilliqa can process transactions in parallel due to network sharding. This is where the linear scalability comes from. We can define simple transactions: a transaction from address A to B (Category 1), a transaction where a user interacts with one smart contract (Category 2) and the most complex ones where triggering a transaction results in multiple smart contracts being involved (Category 3). The shards are able to process transactions on their own without interference of the other shards. With Category 1 transactions that is doable, with Category 2 transactions sometimes if that address is in the same shard as the smart contract but with Category 3 you definitely need communication between the shards. Solving that requires to make a set of communication rules the protocol needs to follow in order to process all transactions in a generalised fashion.
 
And this is where the downsides of state sharding comes in currently. All shards in Zilliqa have access to the complete state. Yes the state size (0.1 GB at the moment) grows and all of the nodes need to store it but it also means that they don’t need to shop around for information available on other shards. Requiring more communication and adding more complexity. Computer science knowledge and/or developer knowledge required links if you want to dig further: Scilla - language grammar Scilla - Foundations for Verifiable Decentralised Computations on a Blockchain Gas Accounting NUS x Zilliqa: Smart contract language workshop
 
Easier to follow links on programming Scilla https://learnscilla.com/home Ivan on Tech
 
Roadmap / Zilliqa 2.0
 
There is no strict defined roadmap but here are topics being worked on. And via the Zilliqa website there is also more information on the projects they are working on.
 
Business & Partnerships
 
It’s not only technology in which Zilliqa seems to be excelling as their ecosystem has been expanding and starting to grow rapidly. The project is on a mission to provide OpenFinance (OpFi) to the world and Singapore is the right place to be due to its progressive regulations and futuristic thinking. Singapore has taken a proactive approach towards cryptocurrencies by introducing the Payment Services Act 2019 (PS Act). Among other things, the PS Act will regulate intermediaries dealing with certain cryptocurrencies, with a particular focus on consumer protection and anti-money laundering. It will also provide a stable regulatory licensing and operating framework for cryptocurrency entities, effectively covering all crypto businesses and exchanges based in Singapore. According to PWC 82% of the surveyed executives in Singapore reported blockchain initiatives underway and 13% of them have already brought the initiatives live to the market. There is also an increasing list of organizations that are starting to provide digital payment services. Moreover, Singaporean blockchain developers Building Cities Beyond has recently created an innovation $15 million grant to encourage development on its ecosystem. This all suggests that Singapore tries to position itself as (one of) the leading blockchain hubs in the world.
 
Zilliqa seems to already take advantage of this and recently helped launch Hg Exchange on their platform, together with financial institutions PhillipCapital, PrimePartners and Fundnel. Hg Exchange, which is now approved by the Monetary Authority of Singapore (MAS), uses smart contracts to represent digital assets. Through Hg Exchange financial institutions worldwide can use Zilliqa's safe-by-design smart contracts to enable the trading of private equities. For example, think of companies such as Grab, Airbnb, SpaceX that are not available for public trading right now. Hg Exchange will allow investors to buy shares of private companies & unicorns and capture their value before an IPO. Anquan, the main company behind Zilliqa, has also recently announced that they became a partner and shareholder in TEN31 Bank, which is a fully regulated bank allowing for tokenization of assets and is aiming to bridge the gap between conventional banking and the blockchain world. If STOs, the tokenization of assets, and equity trading will continue to increase, then Zilliqa’s public blockchain would be the ideal candidate due to its strategic positioning, partnerships, regulatory compliance and the technology that is being built on top of it.
 
What is also very encouraging is their focus on banking the un(der)banked. They are launching a stablecoin basket starting with XSGD. As many of you know, stablecoins are currently mostly used for trading. However, Zilliqa is actively trying to broaden the use case of stablecoins. I recommend everybody to read this text that Amrit Kumar wrote (one of the co-founders). These stablecoins will be integrated in the traditional markets and bridge the gap between the crypto world and the traditional world. This could potentially revolutionize and legitimise the crypto space if retailers and companies will for example start to use stablecoins for payments or remittances, instead of it solely being used for trading.
 
Zilliqa also released their DeFi strategic roadmap (dating November 2019) which seems to be aligning well with their OpFi strategy. A non-custodial DEX is coming to Zilliqa made by Switcheo which allows cross-chain trading (atomic swaps) between ETH, EOS and ZIL based tokens. They also signed a Memorandum of Understanding for a (soon to be announced) USD stablecoin. And as Zilliqa is all about regulations and being compliant, I’m speculating on it to be a regulated USD stablecoin. Furthermore, XSGD is already created and visible on block explorer and XIDR (Indonesian Stablecoin) is also coming soon via StraitsX. Here also an overview of the Tech Stack for Financial Applications from September 2019. Further quoting Amrit Kumar on this:
 
There are two basic building blocks in DeFi/OpFi though: 1) stablecoins as you need a non-volatile currency to get access to this market and 2) a dex to be able to trade all these financial assets. The rest are built on top of these blocks.
 
So far, together with our partners and community, we have worked on developing these building blocks with XSGD as a stablecoin. We are working on bringing a USD-backed stablecoin as well. We will soon have a decentralised exchange developed by Switcheo. And with HGX going live, we are also venturing into the tokenization space. More to come in the future.”
 
Additionally, they also have this ZILHive initiative that injects capital into projects. There have been already 6 waves of various teams working on infrastructure, innovation and research, and they are not from ASEAN or Singapore only but global: see Grantees breakdown by country. Over 60 project teams from over 20 countries have contributed to Zilliqa's ecosystem. This includes individuals and teams developing wallets, explorers, developer toolkits, smart contract testing frameworks, dapps, etc. As some of you may know, Unstoppable Domains (UD) blew up when they launched on Zilliqa. UD aims to replace cryptocurrency addresses with a human-readable name and allows for uncensorable websites. Zilliqa will probably be the only one able to handle all these transactions onchain due to ability to scale and its resulting low fees which is why the UD team launched this on Zilliqa in the first place. Furthermore, Zilliqa also has a strong emphasis on security, compliance, and privacy, which is why they partnered with companies like Elliptic, ChainSecurity (part of PwC Switzerland), and Incognito. Their sister company Aqilliz (Zilliqa spelled backwards) focuses on revolutionizing the digital advertising space and is doing interesting things like using Zilliqa to track outdoor digital ads with companies like Foodpanda.
 
Zilliqa is listed on nearly all major exchanges, having several different fiat-gateways and recently have been added to Binance’s margin trading and futures trading with really good volume. They also have a very impressive team with good credentials and experience. They don't just have “tech people”. They have a mix of tech people, business people, marketeers, scientists, and more. Naturally, it's good to have a mix of people with different skill sets if you work in the crypto space.
 
Marketing & Community
 
Zilliqa has a very strong community. If you just follow their Twitter their engagement is much higher for a coin that has approximately 80k followers. They also have been ‘coin of the day’ by LunarCrush many times. LunarCrush tracks real-time cryptocurrency value and social data. According to their data, it seems Zilliqa has a more fundamental and deeper understanding of marketing and community engagement than almost all other coins. While almost all coins have been a bit frozen in the last months, Zilliqa seems to be on its own bull run. It was somewhere in the 100s a few months ago and is currently ranked #46 on CoinGecko. Their official Telegram also has over 20k people and is very active, and their community channel which is over 7k now is more active and larger than many other official channels. Their local communities also seem to be growing.
 
Moreover, their community started ‘Zillacracy’ together with the Zilliqa core team ( see www.zillacracy.com ). It’s a community-run initiative where people from all over the world are now helping with marketing and development on Zilliqa. Since its launch in February 2020 they have been doing a lot and will also run their own non-custodial seed node for staking. This seed node will also allow them to start generating revenue for them to become a self sustaining entity that could potentially scale up to become a decentralized company working in parallel with the Zilliqa core team. Comparing it to all the other smart contract platforms (e.g. Cardano, EOS, Tezos etc.) they don't seem to have started a similar initiative (correct me if I’m wrong though). This suggests in my opinion that these other smart contract platforms do not fully understand how to utilize the ‘power of the community’. This is something you cannot ‘buy with money’ and gives many projects in the space a disadvantage.
 
Zilliqa also released two social products called SocialPay and Zeeves. SocialPay allows users to earn ZILs while tweeting with a specific hashtag. They have recently used it in partnership with the Singapore Red Cross for a marketing campaign after their initial pilot program. It seems like a very valuable social product with a good use case. I can see a lot of traditional companies entering the space through this product, which they seem to suggest will happen. Tokenizing hashtags with smart contracts to get network effect is a very smart and innovative idea.
 
Regarding Zeeves, this is a tipping bot for Telegram. They already have 1000s of signups and they plan to keep upgrading it for more and more people to use it (e.g. they recently have added a quiz features). They also use it during AMAs to reward people in real-time. It’s a very smart approach to grow their communities and get familiar with ZIL. I can see this becoming very big on Telegram. This tool suggests, again, that the Zilliqa team has a deeper understanding of what the crypto space and community needs and is good at finding the right innovative tools to grow and scale.
 
To be honest, I haven’t covered everything (i’m also reaching the character limited haha). So many updates happening lately that it's hard to keep up, such as the International Monetary Fund mentioning Zilliqa in their report, custodial and non-custodial Staking, Binance Margin, Futures, Widget, entering the Indian market, and more. The Head of Marketing Colin Miles has also released this as an overview of what is coming next. And last but not least, Vitalik Buterin has been mentioning Zilliqa lately acknowledging Zilliqa and mentioning that both projects have a lot of room to grow. There is much more info of course and a good part of it has been served to you on a silver platter. I invite you to continue researching by yourself :-) And if you have any comments or questions please post here!
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ArCoin from Arca: how the first tokenized US government bonds work

ArCoin from Arca: how the first tokenized US government bonds work

ArCoin from Arca: how the first tokenized US government bonds work
On July 6, digital asset manager Arca registered his private crypto fund Arca U.S. Treasury Fund at the US Securities and Exchange Commission (SEC). The fund invests most of its funds in short-term US bonds, while the fund’s shares are represented in the form of ArCoin Ethereum tokens of the new ERC1404 format, which fully comply with securities legislation.

Why SEC registration is important for Arca U.S. Treasury Fund.

Arca U.S. Treasury Fund is a closed-end hedge fund owned by the American digital asset management company Arca. It aims to combine the regulatory, legal and operational standards of the traditional financial sector with the efficiency of the blockchain. The company believes that actively managed hedge funds are the best way to address the volatility, immaturity, and rapidly changing nature of cryptocurrencies as an investment asset.
Registration with the SEC was not easy for the fund — Arca agreed on the form of its digital shares within 20 months. But now the fund’s securities comply with the 1940 Investment Companies Act, which regulates the work of investment funds, including those issuing their own securities.
For investors, SEC approval is an opportunity to receive guarantees from the traditional financial market: broker control by the regulator, independent audit and regular reporting, as well as the right to return their money in the event of a broker’s bankruptcy.
For an investment fund, registration with the SEC imposes obligations to provide information on the company’s financial position, investment policy and current operations, meet liquidity requirements, conduct an independent audit and transfer control over assets to an independent board of trustees. But this is what allowed Arca to release an institutional-grade product.

How Arca U.S. Treasury Fund works

Arca U.S. Treasury Fund invests 80% of its assets in short-term US Treasury bonds. The rest of the funds are invested in fixed income debt securities. As the fund plans to invest in low-risk assets, the ArCoin price is expected to be stable.
The fund operates just like any other fund holding US debt securities, but with the addition of blockchain to manage stocks. Investors do not invest their money directly in securities, but purchase shares of the fund — ArCoin tokens (ARCT). They were created by a special division of the company — Arca Labs. TokenSoft, a crypto startup that helps companies launch and sell tokens, has become a technical service provider.
ArCoin sets a new standard for Ethereum tokens — ERC1404. It is specifically designed to meet regulatory requirements. Unlike the universal ERC20 standard, ERC1404 is more strictly controlled: such a token can be frozen, and the addresses to which users can send it must also be predefined. This “whitelist” of permitted addresses allows the SEC to almost completely control and track their circulation and ensures that tokens are not transferred outside of regulatory oversight.
Each ArCoin grants the right to one share in the fund. The price of the coin is $1 with a minimum investment of $1000. A total of 100 million ArCoins will be available. Accrued interest is paid directly to ArCoin holders every quarter. You can buy shares directly through the website after passing the KYC / AML check. At the same time, investors can trade tokens with each other — the blockchain allows you to do without a broker.
The fund’s shares will not be available for trading on stock exchanges and for secondary trading on crypto exchanges. Notably, the prospectus filed with the SEC in April 2019 states that in the future, Arca coins “may be traded on a public decentralized or centralized electronic exchange platform that is registered with the SEC as an alternative trading system, although there is no guarantee that such systems or platforms will be available.” But, apparently, this situation did not suit the regulator, and in the latest version of the document it was changed.
The standard investor commission for fund management is 3.22%, but during the first year it will be reduced to 0.75%. Investors can keep ArCoin in their own wallets, but if the private keys from them are lost or compromised, the fund will replace the lost tokens with new ones. The digital assets are held in tokenized asset-oriented investment bank DTAC LLC, launched by TokenSoft last December.
ArCoin offers companies and investors several use cases and wide integration of the coin into the work of structures. Individuals can use ArCoin to hedge their cryptocurrency portfolio against volatility, and financial institutions and other companies can use ArCoin to clear, settle, pay and lend “more efficiently, less costly, faster and with the ability to directly track all transactions.”
The ability to pay for goods and services with tokens on US Treasury bonds is a revolutionary step that narrows the space between payment and investment funds.

Fight for a new trillion dollar market

US Treasuries, to which ArCoin is tied, are issued by the US Treasury Department and serve as a government debt financing instrument.
Traditionally, they have a credit rating equal to or close to the maximum AAA, and are considered one of the safest and most reliable assets in the world. This makes US Treasuries highly sought after by central banks, financial companies, and private investors around the world, as they act as a safe haven from volatility in stock and corporate bond markets in times of geopolitical or economic turmoil. The SEC cleared ArCoin linkage to US Treasuries makes the asset the safest and most regulated token on the market. This is a great choice in turbulent financial times.
The launch of Arca U.S. Treasury Fund is targeting one of Wall Street’s oldest outposts — investing in the US Treasury bond market.According to Brookings, its value is about $18 trillion. ArCoin is a modern alternative to existing methods of investing in Treasury securities (buying bonds from a broker or purchasing shares from an investment fund). Arca is clearly looking forward to the emergence and growth of a new market for fully regulated and SEC-approved digital shares in traditional assets. Moreover, their competitors are not other crypto funds, but traditional exchange-traded funds and ETFs.
The Arca team is made up of Wall Street veterans and knows what a product needs to be that will be successful. Blockchain aims to show investors that it simplifies, cheaper and speeds up the process compared to the traditional market. On the site, the Arca team describes ArCoin as a “blockchain-traded fund”, or BTF.
In comments to CoinDesk in February this year, CEO Ryan Steinberg said that Arca hopes to see large institutional investors as early buyers. It was for them that the company fought so long and hard to get registered with the SEC — it had to increase confidence in the products. “The answer to the question of why there are so few institutions in the crypto industry is simple: there are no institutional-grade products on the market,” Steinberg said, noting that ArCoin is just right for the needs of large investors.
“This is a huge leap forward in legitimizing securities on the blockchain.
Huge round of applause for the Arca team, great talent and domain expertise paired with great execution.” — TokenSoft CEO Mason Borda praised the Arca team.
However, the Arca team understands that success is not guaranteed. Treasury digital assets are a new and untested market. In its filing with the SEC, Arca recognizes the potential risks for investors. For example, digital asset markets may not have the liquidity that US Treasury investors currently enjoy in traditional markets. “The use of blockchain is relatively new and untested. Therefore, investors should initially expect greater price volatility in the secondary market than would be the case if the shares had greater liquidity, ”the application says. Other risks include congestion on the Ethereum network and “the possibility of breakdowns and trading stops as a result of undiscovered technological deficiencies.”

To the conclusion

SEC-registered crypto investment products are nothing new. Cryptocurrency investment fund Grayscale Investments, for example, is one of the largest bitcoin funds that is regularly audited by the SEC. But the point is, Arca offers its own cryptocurrency, not Bitcoin.
ArCoin is set to become just the first asset in the portfolio of SEC-approved financial products to be released by Arca. The increase in the number of such initiatives can convince the SEC that their launch does not carry enormous risks. For several years now, this regulator has refused to launch bitcoin ETFs, arguing this by the lack of a legal environment in the market, manipulation of asset prices, difficulties with liquidity, storage and arbitration, and non-compliance with the regulator’s rules. Now, amid the emergence of products such as ArCoin, the SEC may reconsider its opinion on Bitcoin ETFs.
The SEC approval for Arca has potentially opened the door to new and innovative blockchain-based financial products. Regulatory registration can be a challenge for many companies, but Arca has shown how to achieve it. The project has taken a pioneering and revolutionary step towards combining traditional finance with digital investments.
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Mega eTextbooks release thread (part-28)! Find your textbooks here between $5-$25 :)

Please find the list below:
  1. Disease Gene Identification: Methods and Protocols, 2nd Edition: Johanna K. DiStefano
  2. Statistical Aspects of the Microbiological Examination of Foods, 3rd Edition: Basil Jarvis
  3. Revel for Social Problems, 14th Edition: Stanley Eitzen & Maxine Baca Zinn & Kelly Ei Smith
  4. Fundamentals of Human Resource Management: Pearson New International Edition, 3rd Edition: Gary Dessler
  5. Economics Today: The Micro View, 18th Edition: Roger LeRoy Miller
  6. Employment Law for Business, 8th Edition: Dawn Bennett-Alexander & Laura Hartman
  7. Surgical Exposures in Orthopaedics: The Anatomic Approach, 5th Edition: Stanley Hoppenfeld & Piet de Boer & Richard Buckley
  8. Project Management in Construction, 7th Edition: Sidney Levy
  9. Financial and Managerial Accounting, 7th Edition: John Wild & Ken Shaw & Barbara Chiappetta
  10. Handbook of Plant Disease Identification and Management, 1st Edition: Balaji Aglave
  11. Ubuntu Unleashed 2019 Edition: Covering 18.04, 18.10, 19.04, 13th Edition: Matthew Helmke
  12. Handbook of Insulin Therapies, 1st Edition: Winston Crasto & Janet Jarvis & Melanie J. Davies
  13. Python for Programmers: with Big Data and Artificial Intelligence Case Studies, 1st Edition: Paul J. Deitel & Harvey Deitel
  14. Medical Ethics: Accounts of Ground-Breaking Cases, 7th Edition: Gregory Pence
  15. Human Resource Management, 13th Edition: Gary Dessler
  16. The Biology and Therapeutic Application of Mesenchymal Cells, 2 Volume Set, 1st Edition: Kerry Atkinson
  17. Computer Security Fundamentals, 3rd Edition: William Chuck Easttom
  18. Hendee's Radiation Therapy Physics, 4th Edition: Todd Pawlicki & Daniel J. Scanderbeg & George Starkschall
  19. Nutrient Delivery, 1st Edition: Alexandru Grumezescu
  20. Technology Entrepreneurship: Taking Innovation to the Marketplace, 2nd Edition: Thomas N. Duening & Robert A. Hisrich & Michael A. Lechter
  21. Chemistry of Metalloproteins: Problems and Solutions in Bioinorganic Chemistry, 1st Edition: Joseph J. Stephanos & Anthony W. Addison
  22. Mathematical Statistics with Applications in R, 2nd Edition: Kandethody M. Ramachandran & Chris P. Tsokos
  23. Diagnostic Imaging: Genitourinary, 3rd Edition: Mitchell E. Tublin
  24. Comprehensive Management of Arteriovenous Malformations of the Brain and Spine, 1st Edition: Robert F. Spetzler & Douglas S. Kondziolka & Randall T. Higashida & M. Yashar S. Kalani
  25. Digital Design: With an Introduction to the Verilog HDL, 5th Edition: M. Morris R. Mano & Michael D. Ciletti
  26. Plasmids: Biology and Impact in Biotechnology and Discovery, 1st Edition: Marcelo E. Tolmasky & Juan C. Alonso
  27. Consumer Behavior: Buying, Having, and Being, Global Edition, 12th Edition: Michael R. Solomon
  28. Project Management Case Studies, 5th Edition: Harold Kerzner
  29. Medical Phisiology: Principles for Clinical Medicine, 4th Edition: Rodney A. Rhoades & David R. Bell
  30. Essentials of Contemporary Management, 7th Edition: Gareth Jones & Jennifer George
  31. Harmony and Voice Leading, 4th Edition: Thomas E. Benjamin & Michael Horvit & Robert S. Nelson
  32. Principles of Economics, 2nd Edition: Lee Coppock & Dirk Mateer
  33. Oral Microbiology and Immunology, 2nd Edition: Richard J. Lamont & George N. Hajishengallis & Howard F. Jenkinson
  34. Magnetic Resonance Imaging of the Brain and Spine, 5th Edition: Scott W. Atlas
  35. Accounting Information Systems: Controls and Processes, 3rd Edition: Leslie Turner & Andrea B. Weickgenannt & Mary Kay Copeland
  36. Strategic Corporate Social Responsibility: Sustainable Value Creation, 5th Edition: David Chandler
  37. Julien's Primer of Drug Action: A Comprehensive Guide to the Actions, Uses, and Side Effects of Psychoactive Drugs, 14th Edition: Claire D. Advokat & Joseph Comaty & Robert Julien
  38. The Grand Chessboard: American Primacy And Its Geostrategic Imperatives, 1st Edition: Zbigniew Brzezinski
  39. The Cosmic Perspective: The Solar System, 8th Edition: Jeffrey O. Bennett & Megan O. Donahue & Nicholas Schneider & Mark Voit
  40. Ultrastructure Atlas of Human Tissues, 1st Edition: Fred Hossler
  41. Advances in the Biology and Management of Modern Bed Bugs, 1st Edition: Stephen L. Doggett & Dini M. Miller & Chow-Yang Lee
  42. Patterns of World History: Volume One: To 1600, 1st Edition: Peter von Sivers & Charles A. Desnoyers & George B. Stow
  43. Genitourinary Imaging: A Core Review, 1st Edition: Matthew Davenport
  44. Evidence-based Obstetrics and Gynecology, 1st Edition: Errol R. Norwitz & Carolyn M. Zelop & David A. Miller & David L. Keefe
  45. Zoology, 10th Edition: Stephen Miller & John Harley
  46. Radical and Reconstructive Gynecologic Cancer Surgery, 1st Edition: Robert Bristow & Dennis Chi
  47. Davis's Diseases & Disorders A Nursing Therapeutics Manual, 6th Edition: Marilyn Sawyer Sommers
  48. Management & Cost Accounting, 6th Edition: Alnoor Bhimani
  49. Elements of Modern Algebra, 8th Edition: Linda Gilbert
  50. Psychiatric & Mental Health Nursing, 4th Edition: Katie Evans & Debra Nizette & Anthony O'Brien
  51. Molecular Biology: Different Facets, 1st Edition: Anjali Priyadarshini & Prerna Pandey
  52. Elementary Number Theory, 7th Edition: David Burton
  53. Accounting Information Systems, 14th Edition: Marshall B. Romney & Paul J. Steinbart
  54. Microeconomics, Global Edition, 9th Edition: Robert Pindyck & Daniel Rubinfeld
  55. Psychiatric and Mental Health Nursing Demystified, 1st Edition: Jim Keogh
  56. Entrepreneurship, 10th Edition: Robert Hisrich & Michael Peters & Dean Shepherd
  57. Ganong's Review of Medical Physiology, 26th Edition: Kim E. Barrett & Susan M. Barman & Jason Yuan & Heddwen L. Brooks
  58. Textbook of Obstetrics and Gynaecology: A life course approach, 1st Edition: Eric A.P. Steegers & Bart C.J.M. Fauser & Carina G.J.M. Hilders
  59. Engineering Mechanics: Statics, 8th Edition: James L. Meriam & L. G. Kraige & J. N. Bolton
  60. Basic Concepts of Psychiatric-Mental Health Nursing, 8th Edition: Louise Rebraca Shives
  61. Beckmann and Ling's Obstetrics and Gynecology, 8th Edition: Robert Casanova
  62. Biology: Concepts and Applications, 10th Edition: Cecie Starr & Christine Evers & Lisa Starr
  63. Estimating in Building Construction, 9th Edition: Steven J. Peterson & Frank R. Dagostino
  64. The Big Back Book: Tips & Tricks for Therapists, 1st Edition: Jane Johnson
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  349. Financial Management: Principles and Applications, Global Edition, 13th Edition: Sheridan Titman & Arthur J. Keown & John D Martin
  350. Case Studies in Immunology: A Clinical Companion, 7th Edition: Raif S. Geha & Luigi Notarangelo
  351. Handbook of MRI Technique, 4th Edition: Catherine Westbrook
  352. MRI: Basic Principles and Applications, 5th Edition: Brian M. Dale & Mark A. Brown & Richard C. Semelka
  353. Robbins Basic Pathology, 10th Edition: Vinay Kumar & Abul K. Abbas & Jon C. Aster & Vinay Kumar & Abul K. Abbas & Jon C. Aster
  354. Rosen's Emergency Medicine: Concepts and Clinical Practice: 2-Volume Set, 9th Edition: Ron Walls & Robert Hockberger & Marianne Gausche-Hill
  355. BNF for Children: 2018-2019, 1st Edition: Paediatric Formulary Committee
  356. Sitaraman and Friedman's Essentials of Gastroenterology, 2nd Edition: Shanthi Srinivasan & Lawrence S. Friedman
  357. Practical Gastroenterology and Hepatology Board Review Toolkit, 2nd Edition: Kenneth R. DeVault & Michael B. Wallace & Bashar A. Aqel & Keith D. Lindor
  358. Reinforcement Learning: An Introduction, 2nd edition: Richard S. Sutton & Andrew G. Barto
submitted by bookseller10 to Textbook_releases [link] [comments]

[OC] If the regular season ended today, who would make your All-NBA 1st team? And 2nd team? And 3rd team? And 4th team? And 5th team? And 6th team? And 7th -- uh oh -- I think I lost my marbles... but let's keep going... 8th team? 9th team? 10th team?

Getting named as an NBA All-Star is a high honor, but being named to an All-NBA team is even rarer air. After all, only 15 players in the entire league earn that distinction. The fact that it's such an exclusive club makes it so important, so the idea of adding more players to the list would devalue it by nature. It'd be a silly, fruitless exercise, and a complete waste of time.
That said... it sure beats "reality" right now. And in the interest of escapism, let's entertain that hypothetical. Who would make your 1st team All-NBA? Your 2nd? Your 3rd? Your 4th? The challenge is get all the way up to the 10th if you can handle that test of your sanity.
For my own, I include a few caveats:
--- The NBA breaks down All-NBA spots more traditionally with frontcourt and backcourt, but I find that outdated. For mine, I'm going to include 1 "lead guard," 2 "wings," 1 "big," and 1 "flex" that can be any position. To me, that's reflective of the modern game. Most teams play with 1 guard, 3 wings, and 1 big, but there are teams that use 2 lead guards, or 2 bigs, etc.
--- The nature of basketball statistics tends to break down by game, or by minute, or even by play/possession. In the process, we tend to overlook players who are durable and add aggravate value over the course of a season. Personally, I'm going to factor in "games played" more than most would.
--- The advanced stats I'm listing are true shooting percentage and ESPN's estimated "wins added" based on their real plus/minus metric.
With all that said, let's get to the madness.
1st TEAM
GUARD: James Harden (HOU). 34.4 points, 7.4 assists, 62 TS%, +10.4 wins added
You can tell when a player has reached an historic level of greatness when no one seems to care when they're averaging over 34 points per game (on awesome efficiency.) Ho hum.
WING: LeBron James (LAL). 25.7 points, 10.6 assists, 58 TS%, +11.0 wins added
After last year's disappointment, LeBron James has come back leaner and meaner, with much better effort on D. He hasn't been attacking the paint and drawing fouls quite as well as he did in his youth, but he's adjusted his playing style and racked up a career high in assists.
WING: Giannis Antetounkmpo (MIL). 29.6 points, 13.7 rebounds, 61 TS%, +11.2 wins added
The Greek Freak's struggles at the free throw line (down to 63%) have lowered his efficiency from last year, but he's still clearly in contention for another MVP season. His point total nearly matches his minutes (30.9).
BIG: Nikola Jokic (DEN). 20.2 points, 6.9 assists, 60 TS%, +6.0 wins added
The Joker LOOKS like he should be a complete liability on defense, but the stats haven't born that out (he's +1.8 on that end in RPM.) And given that, his transcendent passing ability assists (get it???) his 1st team candidacy.
FLEX: Anthony Davis (LAL). 26.7 points, 2.4 blocks, 61 TS%, +5.2 wins added
The Lakers have vaulted into the top 3 in defense, largely due to Anthony Davis' ability to wreak havoc on that end. And keep in mind, he's leading his team in PPG as well.
2nd TEAM
GUARD: Damian Lillard (POR). 28.9 points, 7.8 assists, 62 TS%, +4.9 wins added
If it wasn't for Steph Curry and James Harden, Dame would be looking at a lot more first-team All-NBA seasons. This hasn't been Portland's best by any stretch, but it's hard to fault him for that.
WING: Luka Doncic (DAL). 28.7 points, 8.7 assists, 58 TS%, +5.9 wins added
No doubt, Luka Doncic is our toughest exclusion from the 1st team and the one I figure will be the most unpopular pick (so far.) The reason he slipped off the 1st team for me is the injury; he's played 10 less games than Nikola Jokic.
WING: Kawhi Leonard (LAC). 26.9 points, 5.0 assists, 59 TS%, +5.7 wins added
Similarly, it's always going to be tough for me to justify Kawhi on a 1st team as long as he takes off games (he's missed 13/64 so far.) Still, he should be rested and ready to go for another title campaign.
BIG: Rudy Gobert (UTA). 15.1 points, 13.7 rebounds, 70 TS%, +4.5 wins added
I wonder if Rudy Gobert's coronavirus issues will hurt him in media votes in the future. Personally, I'm just going to keep rewarding him and recognizing him as one of the most impactful players in the league.
FLEX: Jimmy Butler (MIA). 20.2 points, 6.1 assists, 58 TS%, +4.1 wins added
Jimmy Butler's struggled to score from the field this year, but his ability to draw contact and get to the line (9.1 FTA) keeps his efficiency above average. And therein, his passing and defense help boost him into this range.
3rd TEAM
GUARD: Chris Paul (OKC). 17.7 points, 6.8 assists, 61 TS%, +5.5 wins added
An incredible year all around for CP3, who has turned 35 years old this month.
WING: Jayson Tatum (BOS). 23.6 points, 7.1 rebounds, 56 TS%, +4.6 wins added
We all know him as a deadly scorer, but Jayson Tatum's added strength has helped him hang at the 4 spot on defense, which is a boon for the Celtics' small-ball/wing-ball approach.
WING: Khris Middleton (MIL). 21.1 points, 6.2 rebounds, 62 TS%, +3.7 wins added
Giannis is the engine that drives the Bucks, but having shooters like Middleton around him is key.
BIG: Pascal Siakam (TOR). 23.6 points, 3.6 assists, 56 TS%, +4.8 wins added
Without Kawhi Leonard soaking up attention, Pascal Siakam's not getting as many easy baskets (his 2-point FG% has dropped from 60.2% to 50.6%.) Still, he's a hugely valuable player on both ends of the floor. Is he a true “big?” No. But I think that term is broad enough to extend past centers and can include PFs as well for our purposes.
FLEX: Russell Westbrook (HOU). 27.5 points, 8.0 rebounds, 54 TS%, +6.0 wins added
I've never been a big Westbrook fan, but I give him credit for keeping his activity level and productivity up in a new role. He's gotten better and better as the season has gone on as well.
4th TEAM
GUARD: Ben Simmons (PHI). 16.7 points, 8.2 assists, 61 TS%, +4.2 wins added
Shooting? Still a problem. But fortunately, Ben Simmons does virtually everything else well. He can also step up his game when needed (like when Embiid is out.)
WING: Donovan Mitchell (UTA). 24.2 points, 4.2 assists, 56 TS%, +2.1 wins added
I don't know if Donovan Mitchell is truly any better than any high-scoring SGs like Devin Booker or Zach LaVine, but we have to reward him from being on a winner.
WING: Brandon Ingram (NO). 24.3 points, 6.3 rebounds, 59 TS%, +2.4 wins added
A candidate for Most Improved, Brandon Ingram helped carry his team early in the season. He'll still have to figure out his chemistry with Zion Williamson, but it's safe to say he made himself a lot of money this year.
BIG: Bam Adebayo (MIA). 16.2 points, 10.5 rebounds, 61 TS%, +3.1 wins added
Bam's ability to move the ball on offense (5+ assists) and move his feet on defense is key to the team. The scary part is: he may have another level to his game to reach.
FLEX: Devin Booker (PHX). 26.1 points, 6.6 assists, 62 TS%, +3.5 wins added
It's getting hard to blame Devin Booker for Phoenix's W-L record. He's just a flat-out stud scorer.
5th TEAM
GUARD: Trae Young (ATL). 29.6 points, 9.3 assists, 60 TS%, +3.2 wins added
Like Devin Booker, Trae Young is an offensive savant. Unfortunately, his defense is even more of an issue. He graded at -3.1 in RPM on that end, one of the worst in the entire NBA.
WING: Bradley Beal (WAS). 30.5 points, 6.1 assists, 58 TS%, +1.8 wins added
You expect Trae Young to be bad at defense, but Bradley Beal has graded surprisingly bad there as well (-2.8 RPM.) Of course, starting alongside Isaiah Thomas doesn't make that easy. Nevertheless, we had to downgrade him a few spots for the inconsistent effort there.
WING: Jaylen Brown (BOS). 20.4 points, 6.4 rebounds, 59 TS%, +3.3 wins added
Coming out of Cal, some scouts questions Jaylen Brown's feel for the game. Right now, it's hard to find many things that he doesn't do well.
BIG: Joel Embiid (PHI). 23.4 points, 11.8 rebounds, 59 TS%, +2.8 wins added
Embiid would rank higher at full strength, but he's missed about 1/3 of the season so far.
FLEX: Kyle Lowry (TOR). 19.7 points, 7.7 assists, 59 TS%, +3.2 wins added
Now age 34, Kyle Lowry continues to play very well on both ends. He's the little engine that could -- or perhaps more appropriately, the caboose.
6th TEAM
GUARD: Eric Bledsoe (MIL). 15.4 points, 5.4 assists, 58 TS%, +2.9 wins added
Eric Bledsoe gets more flak than credit, but he's still one of the best players on the best team in the league.
WING: Zach LaVine (CHI). 25.5 points, 4.2 assists, 57 TS%, +4.3 wins added
If the Bulls had a better record, Zach LaVine could have been a few spots higher. His defense isn't quite as bad as advertised either.
WING: C.J. McCollum (POR). 22.5 points, 4.3 assists, 54 TS%, +3.7 wins added
This must be the "all flak" team, because C.J. McCollum also gets blamed a lot for Portland's struggles to get over the hump. To me, Dame+CJ isn't the problem; the complete mess at the SF-PF position is to blame.
BIG: Domatas Sabonis (IND). 18.5 points, 12.4 rebounds, 59 TS%, +1.5 wins added
Arvydas' kid also has some baby Joker to his game, as his 5.0 assists are a huge part of Indiana's offense.
FLEX: Paul George (LAC). 21.0 points, 3.9 assists, 58 TS%, +2.5 wins added
Again, I'm factoring in games played more than most, and Paul George (42 GP) has missed quite a bit of time.
7th TEAM
GUARD: Kemba Walker (BOS). 21.2 points, 4.9 assists, 57 TS%, +2.5 wins added
Kemba Walker doesn't have the same workload in Boston as he did in Charlotte, and the stats reflect that. Still, he's safely one of the top 10 PGs in the league.
WING: Bojan Bogdanovic (UTA). 20.2 points, 4.1 rebounds, 60 TS%, +2.6 wins added
Here we're talking BOJAN (from Utah) and not BOGDAN (from Sacramento), although they're both good. Bogey's delivered on the three-point shooting for Utah, hitting 41.4% on 7+ attempts a game.
WING: Danilo Gallinari (OKC). 19.2 points, 5.5 rebounds, 61 TS%, +2.8 wins added
Perpetually underrated, it may be time we stop acting shocked when Gallo's teams (LAC last year, OKC this year) are better than people expect.
BIG: Karl-Anthony Towns (MIN). 26.5 points, 10.8 rebounds, 64 TS%, +2.7 wins added
KAT was among the hardest to rank for me. Offensively, he's historically great -- arguably the best shooting center of all time. The defense is an issue, of course, and the workload is what doomed him on my list. His 35 games played is our lowest total so far.
FLEX: Jrue Holiday (NO). 19.6 points, 6.9 assists, 54 TS%, +3.5 wins added
It's fitting that Jrue Holiday is listed at "flex," because he's gone from a pure point guard to a jack of all trades.
8th TEAM
GUARD: Ja Morant (MEM). 17.6 points, 6.9 assists, 57 TS%, +1.6 wins added
As the lead guard of a team, you expect Ja Morant to put up good raw stats. However, his efficiency and steadiness is remarkable for a rookie making the leap from Murray State. He also gets a boost for leading Memphis into playoff position (for now, until the NBA decides to snatch that away.)
WING: Evan Fournier (ORL). 18.8 points, 3.2 assists, 60 TS%, +2.1 wins added
Quietly, Evan Fournier is having a good season for Orlando. If you don't believe me, google it.
WING: Robert Covington (HOU). 12.8 points, 1.5 steals, 57 TS%, +2.8 wins added
Every team would love to have a low-usage 3+D forward like RoCo. Except for Philly and Minnesota, I guess.
BIG: Hassan Whiteside (POR). 16.3 points, 14.2 rebounds, 64 TS%, +2.1 wins added
This may be a controversial pick because Whiteside has become a punching bag for fans, but he may have made the rare transition from underrated to overrated (and overpaid) and back to underrated again.
FLEX: Tobias Harris (PHI). 19.4 points, 6.8 rebounds, 56 TS%, +2.1 wins added
Speaking of overpaid... Tobias Harris hasn't lived up to his giant contract yet, but he's undoubtedly a good starter to have on your team.
9th TEAM
GUARD: Spencer Dinwiddie (TOR). 20.6 points, 6.8 assists, 54 TS%, +3.0 wins added
Nothing raises your bitcoin valuation more than that sweet, sweet All-NBA 9th team trophy.
WING: Shai Gilgeous-Alexander (OKC). 19.3 points, 6.1 rebounds, 57 TS%, +2.1 wins added
Like Jrue Holiday, SGA is a point who can play "up" a position. In fact, he’s been working effectively at both SG and SF this year, as illustrated by that nice rebounding rate.
WING: Duncan Robinson (MIA). 13.3 points, 3.3 rebounds, 68 TS%, +3.0 wins added
This may be high for a one-trick pony, but that trick happens to be quite a valuable one. The unknown Robinson is hitting 44.8% of his threes (at 8.4 attempts per game.) He's a huge part of Miami's offensive gameplan.
BIG: Kristaps Porzingis (DAL). 19.2 points, 9.5 rebounds, 54 TS%, +3.9 wins added
Too high? Too low? I can't figure out Porzingis' season in Dallas so far. Still, any big who can block shots and hit threes has an inherent value.
FLEX: Dennis Schroder (OKC). 19.0 points, 4.1 assists, 57 TS%, +5.4 wins added
Perhaps the biggest surprise to OKC's success this season has been a career year for Dennis Schroder off the bench. He's even played well when paired with CP3 and SGA in the same lineup. The stats suggest that Schroder should rank even higher than this, but I'm still trying to wrap my mind around him becoming such an efficient player all of a sudden.
10th TEAM
GUARD: Lou Williams (LAC). 18.7 points, 5.7 assists, 55 TS%, +3.6 wins added
Sweet Lou has a little less to do now that Kawhi Leonard and Paul George are in town, but he's still one of the best scorers off the bench.
WING: Buddy Hield (SAC). 19.8 points, 4.8 rebounds, 57 TS%, +3.0 wins added
A NEW addition to the "scorer off the bench club," Buddy Hield deserves kudos for accepting that role as the Kings try to find a spark. He hasn't been as red-hot as he had been last season, but he's still one of the best SGs in the league.
WING: Gordon Hayward (BOS). 17.3 points, 4.1 assists, 59 TS%, +1.9 wins added
Gordon Hayward has quietly been working his way back into top form, with his ball movement and BBIQ two real feathers in his cap. He's dinged a few spots here based on missed time (he's only played 45 games.)
BIG: Montrezl Harrell (LAC). 18.6 points, 7.1 rebounds, 61 TS%, +3.6 wins added
Fittingly, Montrezl Harrell will join Lou Williams' team here. It'll be interesting to see whether Doc Rivers rolls with the two of them in crunch time during the playoffs.
FLEX: Nikola Vucevic (ORL): 19.5 points, 11.0 rebounds, 54 TS%, +2.0 wins added
It's debatable how valuable Vucevic's 20-10 seasons are because he's not a good defender and he's not a terribly efficient scorer. That said, I'm giving him credit for a high degree of difficulty here as the go-to scorer on a team that doesn't have a lot of weapons offensively.
just missed the cut
If you'd like to sub in any other players, here are some notable names:
PG FredVanVleet (TOR), PG Devonte' Graham (CHA), PG Malcolm Brogdon (IND), PG Jamal Murray, PG Lonzo Ball, PG De'Aaron Fox (SAC), PG/SG Marcus Smart (BOS), PG/SG Kendrick Nunn (MIA), SF Joe Ingles (UTA), SF Will Barton (DEN), SF DeMar DeRozan (SA), SF/PF Davis Bertans (WAS), SF/PF Aaron Gordon (ORL), PF LaMarcus Aldridge (SA), C Myles Turner (IND), C Steven Adams (OKC), C Andre Drummond (CLE), C Jarrett Allen (BKN), C Derrick Favors (NO), C Jonas Valanciunas (MEM), C Brook Lopez (MIL). And of course, we need an obligatory Zion Williamson (NO) mention, although his 19 games played is a tough hurdle to overcome.
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Mega eTextbooks release thread (part-28)! Find your textbooks here between $5-$25 :)

Please find the list below:
  1. Disease Gene Identification: Methods and Protocols, 2nd Edition: Johanna K. DiStefano
  2. Statistical Aspects of the Microbiological Examination of Foods, 3rd Edition: Basil Jarvis
  3. Revel for Social Problems, 14th Edition: Stanley Eitzen & Maxine Baca Zinn & Kelly Ei Smith
  4. Fundamentals of Human Resource Management: Pearson New International Edition, 3rd Edition: Gary Dessler
  5. Economics Today: The Micro View, 18th Edition: Roger LeRoy Miller
  6. Employment Law for Business, 8th Edition: Dawn Bennett-Alexander & Laura Hartman
  7. Surgical Exposures in Orthopaedics: The Anatomic Approach, 5th Edition: Stanley Hoppenfeld & Piet de Boer & Richard Buckley
  8. Project Management in Construction, 7th Edition: Sidney Levy
  9. Financial and Managerial Accounting, 7th Edition: John Wild & Ken Shaw & Barbara Chiappetta
  10. Handbook of Plant Disease Identification and Management, 1st Edition: Balaji Aglave
  11. Ubuntu Unleashed 2019 Edition: Covering 18.04, 18.10, 19.04, 13th Edition: Matthew Helmke
  12. Handbook of Insulin Therapies, 1st Edition: Winston Crasto & Janet Jarvis & Melanie J. Davies
  13. Python for Programmers: with Big Data and Artificial Intelligence Case Studies, 1st Edition: Paul J. Deitel & Harvey Deitel
  14. Medical Ethics: Accounts of Ground-Breaking Cases, 7th Edition: Gregory Pence
  15. Human Resource Management, 13th Edition: Gary Dessler
  16. The Biology and Therapeutic Application of Mesenchymal Cells, 2 Volume Set, 1st Edition: Kerry Atkinson
  17. Computer Security Fundamentals, 3rd Edition: William Chuck Easttom
  18. Hendee's Radiation Therapy Physics, 4th Edition: Todd Pawlicki & Daniel J. Scanderbeg & George Starkschall
  19. Nutrient Delivery, 1st Edition: Alexandru Grumezescu
  20. Technology Entrepreneurship: Taking Innovation to the Marketplace, 2nd Edition: Thomas N. Duening & Robert A. Hisrich & Michael A. Lechter
  21. Chemistry of Metalloproteins: Problems and Solutions in Bioinorganic Chemistry, 1st Edition: Joseph J. Stephanos & Anthony W. Addison
  22. Mathematical Statistics with Applications in R, 2nd Edition: Kandethody M. Ramachandran & Chris P. Tsokos
  23. Diagnostic Imaging: Genitourinary, 3rd Edition: Mitchell E. Tublin
  24. Comprehensive Management of Arteriovenous Malformations of the Brain and Spine, 1st Edition: Robert F. Spetzler & Douglas S. Kondziolka & Randall T. Higashida & M. Yashar S. Kalani
  25. Digital Design: With an Introduction to the Verilog HDL, 5th Edition: M. Morris R. Mano & Michael D. Ciletti
  26. Plasmids: Biology and Impact in Biotechnology and Discovery, 1st Edition: Marcelo E. Tolmasky & Juan C. Alonso
  27. Consumer Behavior: Buying, Having, and Being, Global Edition, 12th Edition: Michael R. Solomon
  28. Project Management Case Studies, 5th Edition: Harold Kerzner
  29. Medical Phisiology: Principles for Clinical Medicine, 4th Edition: Rodney A. Rhoades & David R. Bell
  30. Essentials of Contemporary Management, 7th Edition: Gareth Jones & Jennifer George
  31. Harmony and Voice Leading, 4th Edition: Thomas E. Benjamin & Michael Horvit & Robert S. Nelson
  32. Principles of Economics, 2nd Edition: Lee Coppock & Dirk Mateer
  33. Oral Microbiology and Immunology, 2nd Edition: Richard J. Lamont & George N. Hajishengallis & Howard F. Jenkinson
  34. Magnetic Resonance Imaging of the Brain and Spine, 5th Edition: Scott W. Atlas
  35. Accounting Information Systems: Controls and Processes, 3rd Edition: Leslie Turner & Andrea B. Weickgenannt & Mary Kay Copeland
  36. Strategic Corporate Social Responsibility: Sustainable Value Creation, 5th Edition: David Chandler
  37. Julien's Primer of Drug Action: A Comprehensive Guide to the Actions, Uses, and Side Effects of Psychoactive Drugs, 14th Edition: Claire D. Advokat & Joseph Comaty & Robert Julien
  38. The Grand Chessboard: American Primacy And Its Geostrategic Imperatives, 1st Edition: Zbigniew Brzezinski
  39. The Cosmic Perspective: The Solar System, 8th Edition: Jeffrey O. Bennett & Megan O. Donahue & Nicholas Schneider & Mark Voit
  40. Ultrastructure Atlas of Human Tissues, 1st Edition: Fred Hossler
  41. Advances in the Biology and Management of Modern Bed Bugs, 1st Edition: Stephen L. Doggett & Dini M. Miller & Chow-Yang Lee
  42. Patterns of World History: Volume One: To 1600, 1st Edition: Peter von Sivers & Charles A. Desnoyers & George B. Stow
  43. Genitourinary Imaging: A Core Review, 1st Edition: Matthew Davenport
  44. Evidence-based Obstetrics and Gynecology, 1st Edition: Errol R. Norwitz & Carolyn M. Zelop & David A. Miller & David L. Keefe
  45. Zoology, 10th Edition: Stephen Miller & John Harley
  46. Radical and Reconstructive Gynecologic Cancer Surgery, 1st Edition: Robert Bristow & Dennis Chi
  47. Davis's Diseases & Disorders A Nursing Therapeutics Manual, 6th Edition: Marilyn Sawyer Sommers
  48. Management & Cost Accounting, 6th Edition: Alnoor Bhimani
  49. Elements of Modern Algebra, 8th Edition: Linda Gilbert
  50. Psychiatric & Mental Health Nursing, 4th Edition: Katie Evans & Debra Nizette & Anthony O'Brien
  51. Molecular Biology: Different Facets, 1st Edition: Anjali Priyadarshini & Prerna Pandey
  52. Elementary Number Theory, 7th Edition: David Burton
  53. Accounting Information Systems, 14th Edition: Marshall B. Romney & Paul J. Steinbart
  54. Microeconomics, Global Edition, 9th Edition: Robert Pindyck & Daniel Rubinfeld
  55. Psychiatric and Mental Health Nursing Demystified, 1st Edition: Jim Keogh
  56. Entrepreneurship, 10th Edition: Robert Hisrich & Michael Peters & Dean Shepherd
  57. Ganong's Review of Medical Physiology, 26th Edition: Kim E. Barrett & Susan M. Barman & Jason Yuan & Heddwen L. Brooks
  58. Textbook of Obstetrics and Gynaecology: A life course approach, 1st Edition: Eric A.P. Steegers & Bart C.J.M. Fauser & Carina G.J.M. Hilders
  59. Engineering Mechanics: Statics, 8th Edition: James L. Meriam & L. G. Kraige & J. N. Bolton
  60. Basic Concepts of Psychiatric-Mental Health Nursing, 8th Edition: Louise Rebraca Shives
  61. Beckmann and Ling's Obstetrics and Gynecology, 8th Edition: Robert Casanova
  62. Biology: Concepts and Applications, 10th Edition: Cecie Starr & Christine Evers & Lisa Starr
  63. Estimating in Building Construction, 9th Edition: Steven J. Peterson & Frank R. Dagostino
  64. The Big Back Book: Tips & Tricks for Therapists, 1st Edition: Jane Johnson
  65. University Physics with Modern Physics, 14th Edition: Hugh D. Young & Roger A. Freedman
  66. Poisoning and Drug Overdose, 7th Edition: Kent Olson & Ilene Anderson & Neal Benowitz & Paul Blanc
  67. Koneman's Color Atlas and Textbook of Diagnostic Microbiology, 7th Edition: Gary W. Procop
  68. Experimental Psychology, 7th Edition: Anne Myers & Christine H. Hansen
  69. Marketing: An Introduction, 13th Edition: Gary Armstrong & Philip Kotler
  70. Gray's Anatomy for Students: With Student Consult, 3rd Edition: Richard Drake & A. Wayne Vogl & Adam W. M. Mitchell
  71. Chestnut's Obstetric Anesthesia: Principles and Practice, 5th Edition: David H. Chestnut & Cynthia A Wong & Lawrence C Tsen & Warwick D Ngan Kee & Yaakov Beilin & Jill Mhyre
  72. Chemistry: The Molecular Science, 5th Edition: John W. Moore & Conrad L. Stanitski
  73. Head, Neck and Dental Emergencies, 2nd Edition: Mike Perry
  74. Wong's Nursing Care of Infants and Children, 10th Edition: Marilyn J. Hockenberry & David Wilson
  75. Sports Emergency Care: A Team Approach, 3rd Edition: Robb Rehberg & Jeff G. Konin
  76. New Venture Creation: Entrepreneurship for the 21st Century, 10th Edition: Stephen Spinelli & Rob Adams
  77. Caring for the Vulnerable: Perspectives in Nursing Theory, Practice, and Research, 5th Edition: Mary de Chesnay & Barbara Anderson
  78. Geometry: The Line and the Circle: Maureen T. Carroll & Elyn Rykken
  79. Histories of Human Engineering: Tact and Technology: Maarten Derksen
  80. Land Restoration: Reclaiming Landscapes for a Sustainable Future, 1st Edition: Ilan Chabay & Martin Frick & Jennifer Helgeson
  81. Yamada's Handbook of Gastroenterology, 3rd Edition: Tadataka Yamada & John M. Inadomi & Renuka Bhattacharya & Jason A. Dominitz & Joo Ha Hwang
  82. Theoretical Physics 9: Fundamentals of Many-body Physics, 2nd Edition: Wolfgang Nolting & William D. Brewer
  83. Introduction to Programming with C++, 3rd Edition: Y. Daniel Liang
  84. Dental Emergencies, 1st Edition: Mark Greenwood & Ian Corbett
  85. Fundamentals of Physics and Chemistry of the Atmosphere, 2nd Edition: Guido Visconti
  86. Calculus: Early Transcendentals, 3rd Edition: William L. Briggs & Lyle Cochran & Bernard Gillett & Eric Schulz
  87. Educating Physical Therapists, 1st Edition: Gail Jensen
  88. Strategic Developments in Eurasia After 11 September, 1st Edition: Shireen Hunter
  89. Contemporary Issues in Healthcare Law and Ethics, 4th Edition: Dean Harris
  90. Transitioning from RN to MSN: Principles of Professional Role Development: Brenda Scott & Mindy Thompson
  91. Principles and Practice of Public Health Surveillance, 3rd Edition: Lisa M. Lee & Steven M. Teutsch & Stephen B. Thacker & Michael E. St. Louis
  92. Elementary Statistics: Picturing the World, 6th Edition: Ron Larson & Betsy Farber
  93. Human Sexuality in a World of Diversity, 6th Canadian Edition: Spencer A. Rathus & Jeffrey S. Nevid & Lois Fichner-Rathus & Alex McKay & Robin Milhausen
  94. Becoming Your Own Banker, 6th Edition: R. Nelson Nash
  95. Murach's MySQL, 3rd Edition: Joel Murach
  96. Intermediate Algebra, 13th Edition: Marvin L. Bittinger & Judith A. Beecher & Barbara L. Johnson
  97. Planning Health Promotion Programs: An Intervention Mapping Approach, 4th Edition: L. Kay Bartholomew Eldredge & Christine M. Markham & Robert A. C. Ruiter & Maria E. Fernández & Gerjo Kok & Guy S. Parcel
  98. Human Factors in Simple and Complex Systems, 3rd Edition: Robert W. Proctor & Trisha Van Zandt
  99. The Irony of Democracy: An Uncommon Introduction to American Politics, 17th Edition: Louis Schubert & Thomas R. Dye & Harmon Zeigler
  100. Understanding Earth, 7th Edition: John Grotzinger
  101. Nursing Research in Canada: Methods, Critical Appraisal, and Utilization, 4th Edition: Geri LoBiondo-Wood & Judith Haber & Cherylyn Cameron & Mina Singh
  102. The Philosophy of Film, 1st Edition: Thomas E. Wartenberg & Angela Curran
  103. Disaster Nursing and Emergency Preparedness, 4th Edition: Tener Goodwin Veenema
  104. Language in Mind: An Introduction to Psycholinguistics, 2nd Edition: Julie Sedivy
  105. Medical Anthropology: A Biocultural Approach, 3rd Edition: Andrea S. Wiley & John S. Allen
  106. Exploring Biology in the Laboratory, 3rd Edition: Murray P. Pendarvis & John L. Crawley
  107. Guide to Networking Essentials, 8th Edition: Greg Tomsho
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  156. The Power of Critical Thinking: 5th Canadian Edition: Chris MacDonald and Lewis Vaughn
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  170. Economics: Principles, Applications, and Tools, 9th Edition, Global Edition: Arthur O'Sullivan & Steven Sheffrin & Stephen Perez
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  237. Essentials of Human Anatomy & Physiology, 12th Edition, Global Edition: Elaine N. Marieb & Suzanne M. Keller
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  239. Programming Bitcoin: Learn How to Program Bitcoin from Scratch, 1st Edition: Jimmy Song
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  243. Introduction to Econometrics, Updated 3rd Edition, Global Edition: James H. Stock & Mark W. Watson
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  245. Expert Oracle Application Express, 2nd Edition: Doug Gault & Dimitri Gielis & Martin DSouza & Roel Hartman
  246. The Art of Reasoning: An Introduction to Logic and Critical Thinking, 4th Edition: David Kelley
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  249. Applied Strength of Materials, SI Units Version, 6th Edition: Robert L. Mott & Joseph A. Untener
  250. Social Psychology, 12th Edition: David Myers & Jean Twenge
  251. Applied Strength of Materials, 6th Edition: Robert Mott & Joseph A. Untener
  252. Foundations of Nursing Research, 7th Edition: Rose Marie Nieswiadomy & Catherine Bailey
  253. Molecular Cell Biology, 8th Edition: Harvey Lodish & Arnold Berk & Chris A. Kaiser & Monty Krieger & Anthony Bretscher
  254. Machine Elements in Mechanical Design, 6th Edition: Robert L. Mott & Edward M. Vavrek & Jyhwen Wang
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  256. Particle Image Velocimetry: A Practical Guide, 3rd Edition: Markus Raffel & Christian E. Willert & Fulvio Scarano & Christian J. Kähler
  257. Smith's Textbook of Endourology, 4th Edition: Arthur D. Smith & Glenn Preminger & Gopal H. Badlani & Louis R. Kavoussi
  258. College Algebra with Modeling & Visualization, 6th Edition: Gary K. Rockswold
  259. Financial Accounting Theory, 7th Edition: William R. Scott
  260. Biology Now, 2nd Edition: Anne Houtman & Megan Scudellari & Cindy Malone
  261. Psychological Science, 5th Edition: Michael Gazzaniga & Diane Halpern
  262. The Handbook of Technical Writing, 11th Edition: Gerald J. Alred & Charles T. Brusaw & Walter E. Oliu
  263. A Graphical Approach to College Algebra, 6th Edition: John Hornsby & Margaret L. Lial & Gary K. Rockswold
  264. Business Analytics, 4th Edition: Jeffrey D. Camm & James J. Cochran & Michael J. Fry & Jeffrey W. Ohlmann
  265. Biological Psychology, 13th Edition: James W. Kalat
  266. Business Communication Today, 14th Edition: Courtland L. Bovee & John V. Thill
  267. Geosystems Core, 1st Edition: Robert W. Christopherson & Stephen Cunha & Charles E. Thomsen & Ginger Birkeland
  268. Principles of Information Security, 6th Edition: Michael E. Whitman & Herbert J. Mattord
  269. Financial & Managerial Accounting, 14th Edition: Carl S. Warren & James M. Reeve & Jonathan Duchac
  270. Corporate Finance: Theory and Practice, 5th Edition: Pierre Vernimmen & Pascal Quiry & Maurizio Dallocchio & Yann Le Fur & Antonio Salvi
  271. Introductory Statistics, 10th Edition: Neil A. Weiss
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  273. Business Essentials, 8th Canadian Edition: Ronald J. Ebert & Ricky W. Griffin & Frederick A. Starke & George Dracopoulos
  274. Introduction to Mathematical Statistics, 8th Edition: Robert V. Hogg & Joseph W. McKean & Allen T. Craig
  275. The Routledge Companion to Business Ethics, 1st Edition: Eugene Heath & Byron Kaldis & Alexei Marcoux
  276. Geosystems An Introduction to Physical Geography, Global Edition, 9th Edition: Ginger H. Birkel & Robert W. Christopherson
  277. Scientific American Environmental Science for a Changing World, 2nd Edition: Jeneen InterlandI & Anne Houtman
  278. Precalculus, 10th Edition: Ron Larson
  279. The Human Brain Book: An Illustrated Guide to its Structure, Function, and Disorders, New Edition: Rita Carter
  280. Introduction to Materials Science for Engineers, 8th Edition: James F. Shackelford
  281. Adobe Dreamweaver CC Classroom in a Book, 1st Edition: Jim Maivald
  282. Trigonometry, 11th Edition: Margaret L. Lial & John Hornsby & David I. Schneider & Callie Daniels
  283. Investment Banks, Hedge Funds, and Private Equity, 3rd Edition: David P. Stowell
  284. Cognitive Neuroscience: The Biology of the Mind, 5th Edition: Michael Gazzaniga & Richard B. Ivry & George R. Mangun
  285. Cognitive Neuroscience: The Biology of the Mind, 5th Edition: Michael Gazzaniga & Richard B. Ivry (Author), George R. Mangun (Author)
  286. Project Management Theory and Practice, 3rd Edition: Gary L. Richardson & Brad M. Jackson
  287. Organic Chemistry: Structure and Function, 8th Edition: K. Peter C. Vollhardt & Neil E. Schore
  288. Read, Reason, Write: An Argument Text and Read, 11th Edition: Dorothy Seyler
  289. Fundamentals of Management: Management Myths Debunked!, Global Edition, 10th Edition: Stephen P Robbins & David A. De Cenzo & Mary Coulter
  290. Computer Networking: A Top-Down Approach, Global Edition, 7th Edition: James Kurose & Keith Ross
  291. An Introduction to Banking: Principles, Strategy and Risk Management, 2nd Edition: Moorad Choudhry
  292. The Immune System, 4th Edition: Peter Parham
  293. Biochemistry: Concepts and Connections, Global Edition, 1st Edition: Dean R. Appling & Spencer J. Anthony-Cahill & Christopher K. Mathews
  294. Writing about Writing, 3rd Edition: Elizabeth Wardle & Douglas Downs
  295. Data Wrangling with JavaScript, 1st Edition: Ashley Davis
  296. Experience Psychology, 4th Edition: Laura King
  297. An Introduction to Mathematical Statistics: Fetsje Bijma & Marianne Jonker & Aad van der Vaart & Reinie Erné
  298. Business Communication: Polishing Your Professional Presence, 3rd Edition: Barbara G. Shwom & Lisa Gueldenzoph Snyder
  299. Earth's Evolving Systems: The History of Planet Earth, 2nd Edition: Ronald E. Martin
  300. Business Ethics: Decision Making for Personal Integrity & Social Responsibility, 4th Edition: Laura Hartman & Joseph DesJardins & Chris MacDonald
  301. College Algebra and Trigonometry, Global Edition, 6th Edition: Margaret L. Lial & John Hornsby & David I. Schneider & Callie Daniels
  302. Essentials of MIS, 12th Edition: Kenneth C. Laudon & Jane P. Laudon
  303. Behavior Analysis and Learning: A Biobehavioral Approach, 6th Edition: W. David Pierce & Carl D. Cheney
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  306. Analytical Mechanics, 2nd Edition: Nivaldo A. Lemos
  307. Fundamentals of Management, 7th Canadian Edition: Stephen P. Robbins & David A. DeCenzo & Mary Coulter
  308. Computer Accounting with QuickBooks Online: A Cloud Based Approach, 2nd Edition: Carol Yacht & Susan Crosson
  309. Cost Accounting and Financial Management for Construction Project Managers, 1st Edition: Len Holm
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  311. Contemporary Logistics, 12th Edition, Global Edition: Paul R. Murphy & A. Michael Knemeyer
  312. Mechanical Engineers' Handbook, Volume 1: Materials and Engineering Mechanics, 4th Edition: Myer Kutz
  313. Mechanical Engineers' Handbook, Volume 2: Design, Instrumentation, and Controls, 4th Edition: Myer Kutz
  314. Mechanical Engineers' Handbook, Volume 3: Manufacturing and Management, 4th Edition: Myer Kutz
  315. Mechanical Engineers' Handbook, Volume 4: Energy and Power, 4th Edition: Myer Kutz
  316. An Introduction to Mathematical Statistics and Its Applications, 6th Edition: Richard J. Larsen & Morris L. Marx
  317. Developmental Mathematics, 1st Edition: Robert F. Blitzer
  318. Thinking Mathematically, 7th Edition: Robert F. Blitzer
  319. Wardlaw's Contemporary Nutrition, 10th Edition: Anne Smith & Angela Collene
  320. Mathematical Statistics: An Introduction to Likelihood Based Inference, 1st Edition: Richard J. Rossi
  321. Asking the Right Questions, 11th Edition: M. Neil Browne & Stuart M. Keeley
  322. Asking the Right Questions, 11th Edition, Global Edition: M. Neil Browne & Stuart M. Keeley
  323. Crash Course Cardiology, 4th Edition: Antonia Churchhouse & Julian O. M. Ormerod & Michael Frenneaux
  324. A Graphical Approach to Precalculus with Limits, 7th Edition: John Hornsby & Margaret L. Lial & Gary K. Rockswold
  325. Unlocking Equity and Trusts, 5th Edition: Mohamed Ramjohn
  326. Public Speaking: The Evolving Art, 4th Edition: Stephanie J. Coopman & James Lull
  327. Social Psychology, 8th Edition: Michael Hogg & Graham Vaughan
  328. Human Resources Management in Canada, 12th Canadian Edition: Gary Dessler & Nita Chhinzer & Nina Cole
  329. Law Core Textbook Bundle: Equity and Trusts, 8th edition: Alastair Hudson
  330. Living Ethics: An Introduction with Readings: Russ Shafer-Landau
  331. Microsoft Project 2019 Step by Step, 1st Edition: Cindy Lewis & Carl Chatfield & Timothy Johnson
  332. Global Business Ethics: Responsible Decision Making in an International Context, 1st Edition: Ronald D Francis & Guy Murfey
  333. Construction Management: Theory and Practice, 1st Edition: Chris March
  334. Harrison's Endocrinology, 4th Edition: J. Larry Jameson
  335. Harrison's Neurology in Clinical Medicine, 4th Edition: Stephen Hauser & S. Andrew Josephson
  336. English Grammar Workbook For Dummies with Online Practice, 3rd Edition: Geraldine Woods
  337. Naked: The Dark Side of Shame and Moral Life, 1st Edition: Krista K. Thomason
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  340. Lange Clinical Neurology, 10th Edition: Roger Simon & David Greenberg & Michael Aminoff
  341. International Textbook of Diabetes Mellitus, 2 Volume Set, 4th Edition: R. A. DeFronzo & E. Ferrannini & Paul Zimmet & George Alberti
  342. Java Programming, 9th Edition: Joyce Farrell
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  357. Practical Gastroenterology and Hepatology Board Review Toolkit, 2nd Edition: Kenneth R. DeVault & Michael B. Wallace & Bashar A. Aqel & Keith D. Lindor
  358. Reinforcement Learning: An Introduction, 2nd edition: Richard S. Sutton & Andrew G. Barto
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The Future of Bitcoin The real value of bitcoin and crypto currency technology ... Bitcoin vs Blockchain Predicting Bitcoin Reversals Jerry Brito on Bitcoin's organic innovation

Andrew Bailey, the BOE Governor has recently claimed that Bitcoin is not having any intrinsic value, during a Q&A session. DC Comics Artist Collabs To Release Batman NFTs PancakeSwap Launches New Liquidity Farms to Earn Staked Binance Coin G7 Leaders Oppose Facebook’s Libra Launch, Until Properly Regulated Grayscale’s Ethereum Trust Gets SEC Reporting Company Status 3,000 Wrapped Bitcoin ... yCorresponding author: Guofu Zhou, 1 Brookings Dr., St. Louis, MO 63130; O ce: +1(314)935-6384; Fax number: +1(314)935-6359; e-mail: [email protected] 1. Introduction Relative to other assets, the historical returns on Bitcoin are astounding. One dollar invested in Bitcoin on July 18, 2010 grew to $70,970 by June 30, 2018, after hitting a peak value of $214,922. The same investment in the S&P500 ... In a recent Los Angeles Times interview, Brookings Senior Fellow John Villasenor sat down with Patt Morrison of the LA Times to discuss cryptocurrencies like Bitcoin. The concept of ... has become a recognized unit of value around the globe. Bitcoin is extremely important because it provides a mechanism for accessing the Blockchain – but it’s not the only application that can ... I am a writer, sysadmin, and creator of this little site you're hanging out in. When I wanted to learn more about Bitcoin I spent a few years studying economics and markets, a few more years learning how to code before realizing that none of that information was all that helpful for understanding Bitcoin.

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On January 14, the Hutchins Center on Fiscal and Monetary Policy at Brookings explored the future of distributed ledger technology, paying special attention ... This video is unavailable. Watch Queue Queue. Watch Queue Queue From Brookings' Beyond Bitcoin event. 1/14/2016 Discussion about the future value of Bitcoin. If you are not involved with this, then you should be. This is the biggest phenomenon since the invention of the internet. DON'T miss out! www.38coins ... Bitcoin in five minutes: Blockchain technology will drastically change our lives. In the coming years, the technology behind crypto currencies such as Bitcoi...

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