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1. What is Bitcoin (BTC)?
2. Bitcoin’s core featuresFor a more beginner’s introduction to Bitcoin, please visit Binance Academy’s guide to Bitcoin.
Unspent Transaction Output (UTXO) modelA UTXO transaction works like cash payment between two parties: Alice gives money to Bob and receives change (i.e., unspent amount). In comparison, blockchains like Ethereum rely on the account model.
Nakamoto consensusIn the Bitcoin network, anyone can join the network and become a bookkeeping service provider i.e., a validator. All validators are allowed in the race to become the block producer for the next block, yet only the first to complete a computationally heavy task will win. This feature is called Proof of Work (PoW).
The probability of any single validator to finish the task first is equal to the percentage of the total network computation power, or hash power, the validator has. For instance, a validator with 5% of the total network computation power will have a 5% chance of completing the task first, and therefore becoming the next block producer.
Since anyone can join the race, competition is prone to increase. In the early days, Bitcoin mining was mostly done by personal computer CPUs.
As of today, Bitcoin validators, or miners, have opted for dedicated and more powerful devices such as machines based on Application-Specific Integrated Circuit (“ASIC”).
Proof of Work secures the network as block producers must have spent resources external to the network (i.e., money to pay electricity), and can provide proof to other participants that they did so.
With various miners competing for block rewards, it becomes difficult for one single malicious party to gain network majority (defined as more than 51% of the network’s hash power in the Nakamoto consensus mechanism). The ability to rearrange transactions via 51% attacks indicates another feature of the Nakamoto consensus: the finality of transactions is only probabilistic.
Once a block is produced, it is then propagated by the block producer to all other validators to check on the validity of all transactions in that block. The block producer will receive rewards in the network’s native currency (i.e., bitcoin) as all validators approve the block and update their ledgers.
Block productionThe Bitcoin protocol utilizes the Merkle tree data structure in order to organize hashes of numerous individual transactions into each block. This concept is named after Ralph Merkle, who patented it in 1979.
With the use of a Merkle tree, though each block might contain thousands of transactions, it will have the ability to combine all of their hashes and condense them into one, allowing efficient and secure verification of this group of transactions. This single hash called is a Merkle root, which is stored in the Block Header of a block. The Block Header also stores other meta information of a block, such as a hash of the previous Block Header, which enables blocks to be associated in a chain-like structure (hence the name “blockchain”).
An illustration of block production in the Bitcoin Protocol is demonstrated below.
Block time and mining difficultyBlock time is the period required to create the next block in a network. As mentioned above, the node who solves the computationally intensive task will be allowed to produce the next block. Therefore, block time is directly correlated to the amount of time it takes for a node to find a solution to the task. The Bitcoin protocol sets a target block time of 10 minutes, and attempts to achieve this by introducing a variable named mining difficulty.
Mining difficulty refers to how difficult it is for the node to solve the computationally intensive task. If the network sets a high difficulty for the task, while miners have low computational power, which is often referred to as “hashrate”, it would statistically take longer for the nodes to get an answer for the task. If the difficulty is low, but miners have rather strong computational power, statistically, some nodes will be able to solve the task quickly.
Therefore, the 10 minute target block time is achieved by constantly and automatically adjusting the mining difficulty according to how much computational power there is amongst the nodes. The average block time of the network is evaluated after a certain number of blocks, and if it is greater than the expected block time, the difficulty level will decrease; if it is less than the expected block time, the difficulty level will increase.
What are orphan blocks?In a PoW blockchain network, if the block time is too low, it would increase the likelihood of nodes producingorphan blocks, for which they would receive no reward. Orphan blocks are produced by nodes who solved the task but did not broadcast their results to the whole network the quickest due to network latency.
It takes time for a message to travel through a network, and it is entirely possible for 2 nodes to complete the task and start to broadcast their results to the network at roughly the same time, while one’s messages are received by all other nodes earlier as the node has low latency.
Imagine there is a network latency of 1 minute and a target block time of 2 minutes. A node could solve the task in around 1 minute but his message would take 1 minute to reach the rest of the nodes that are still working on the solution. While his message travels through the network, all the work done by all other nodes during that 1 minute, even if these nodes also complete the task, would go to waste. In this case, 50% of the computational power contributed to the network is wasted.
The percentage of wasted computational power would proportionally decrease if the mining difficulty were higher, as it would statistically take longer for miners to complete the task. In other words, if the mining difficulty, and therefore targeted block time is low, miners with powerful and often centralized mining facilities would get a higher chance of becoming the block producer, while the participation of weaker miners would become in vain. This introduces possible centralization and weakens the overall security of the network.
However, given a limited amount of transactions that can be stored in a block, making the block time too longwould decrease the number of transactions the network can process per second, negatively affecting network scalability.
3. Bitcoin’s additional features
Segregated Witness (SegWit)Segregated Witness, often abbreviated as SegWit, is a protocol upgrade proposal that went live in August 2017.
SegWit separates witness signatures from transaction-related data. Witness signatures in legacy Bitcoin blocks often take more than 50% of the block size. By removing witness signatures from the transaction block, this protocol upgrade effectively increases the number of transactions that can be stored in a single block, enabling the network to handle more transactions per second. As a result, SegWit increases the scalability of Nakamoto consensus-based blockchain networks like Bitcoin and Litecoin.
SegWit also makes transactions cheaper. Since transaction fees are derived from how much data is being processed by the block producer, the more transactions that can be stored in a 1MB block, the cheaper individual transactions become.
The legacy Bitcoin block has a block size limit of 1 megabyte, and any change on the block size would require a network hard-fork. On August 1st 2017, the first hard-fork occurred, leading to the creation of Bitcoin Cash (“BCH”), which introduced an 8 megabyte block size limit.
Conversely, Segregated Witness was a soft-fork: it never changed the transaction block size limit of the network. Instead, it added an extended block with an upper limit of 3 megabytes, which contains solely witness signatures, to the 1 megabyte block that contains only transaction data. This new block type can be processed even by nodes that have not completed the SegWit protocol upgrade.
Furthermore, the separation of witness signatures from transaction data solves the malleability issue with the original Bitcoin protocol. Without Segregated Witness, these signatures could be altered before the block is validated by miners. Indeed, alterations can be done in such a way that if the system does a mathematical check, the signature would still be valid. However, since the values in the signature are changed, the two signatures would create vastly different hash values.
For instance, if a witness signature states “6,” it has a mathematical value of 6, and would create a hash value of 12345. However, if the witness signature were changed to “06”, it would maintain a mathematical value of 6 while creating a (faulty) hash value of 67890.
Since the mathematical values are the same, the altered signature remains a valid signature. This would create a bookkeeping issue, as transactions in Nakamoto consensus-based blockchain networks are documented with these hash values, or transaction IDs. Effectively, one can alter a transaction ID to a new one, and the new ID can still be valid.
This can create many issues, as illustrated in the below example:
Since the transaction malleability issue is fixed, Segregated Witness also enables the proper functioning of second-layer scalability solutions on the Bitcoin protocol, such as the Lightning Network.
Lightning NetworkLightning Network is a second-layer micropayment solution for scalability.
Specifically, Lightning Network aims to enable near-instant and low-cost payments between merchants and customers that wish to use bitcoins.
Lightning Network was conceptualized in a whitepaper by Joseph Poon and Thaddeus Dryja in 2015. Since then, it has been implemented by multiple companies. The most prominent of them include Blockstream, Lightning Labs, and ACINQ.
A list of curated resources relevant to Lightning Network can be found here.
In the Lightning Network, if a customer wishes to transact with a merchant, both of them need to open a payment channel, which operates off the Bitcoin blockchain (i.e., off-chain vs. on-chain). None of the transaction details from this payment channel are recorded on the blockchain, and only when the channel is closed will the end result of both party’s wallet balances be updated to the blockchain. The blockchain only serves as a settlement layer for Lightning transactions.
Since all transactions done via the payment channel are conducted independently of the Nakamoto consensus, both parties involved in transactions do not need to wait for network confirmation on transactions. Instead, transacting parties would pay transaction fees to Bitcoin miners only when they decide to close the channel.
One limitation to the Lightning Network is that it requires a person to be online to receive transactions attributing towards him. Another limitation in user experience could be that one needs to lock up some funds every time he wishes to open a payment channel, and is only able to use that fund within the channel.
However, this does not mean he needs to create new channels every time he wishes to transact with a different person on the Lightning Network. If Alice wants to send money to Carol, but they do not have a payment channel open, they can ask Bob, who has payment channels open to both Alice and Carol, to help make that transaction. Alice will be able to send funds to Bob, and Bob to Carol. Hence, the number of “payment hubs” (i.e., Bob in the previous example) correlates with both the convenience and the usability of the Lightning Network for real-world applications.
Schnorr Signature upgrade proposalElliptic Curve Digital Signature Algorithm (“ECDSA”) signatures are used to sign transactions on the Bitcoin blockchain.
However, many developers now advocate for replacing ECDSA with Schnorr Signature. Once Schnorr Signatures are implemented, multiple parties can collaborate in producing a signature that is valid for the sum of their public keys.
This would primarily be beneficial for network scalability. When multiple addresses were to conduct transactions to a single address, each transaction would require their own signature. With Schnorr Signature, all these signatures would be combined into one. As a result, the network would be able to store more transactions in a single block.
The reduced size in signatures implies a reduced cost on transaction fees. The group of senders can split the transaction fees for that one group signature, instead of paying for one personal signature individually.
Schnorr Signature also improves network privacy and token fungibility. A third-party observer will not be able to detect if a user is sending a multi-signature transaction, since the signature will be in the same format as a single-signature transaction.
4. Economics and supply distributionThe Bitcoin protocol utilizes the Nakamoto consensus, and nodes validate blocks via Proof-of-Work mining. The bitcoin token was not pre-mined, and has a maximum supply of 21 million. The initial reward for a block was 50 BTC per block. Block mining rewards halve every 210,000 blocks. Since the average time for block production on the blockchain is 10 minutes, it implies that the block reward halving events will approximately take place every 4 years.
As of May 12th 2020, the block mining rewards are 6.25 BTC per block. Transaction fees also represent a minor revenue stream for miners.
Ultimately, this burning mechanism is of greatest benefit to current ETH holders and is to the detriment of holders and users in the future.Huh? What is the evidence for this? This was just asserted without any argument backing up the idea that there is a detriment to anyone.
One can only conclude that the monetary policy of Ethereum is relatively fluid and influenced by people rather than code. This uncertainty reflects an un-sound monetary policy (subject to human tampering) and instils a defendable perception of centralised governance.Given how central fees are to bitcoin's long-term security narrative, and how central (i) block size changes like segwit, and in the future sig compression via schnorr and (ii) layer 2 protocols like LN, are to fee levels, can't you argue that the security policy of Bitcoin is relatively fluid and influenced by people rather than code?
Narratives have shifted from world computer, to unstoppable dAPPS, to token issuance and now to open finance applications.Shifted? As far as I can tell, narratives were rarely subtracted, mostly new ones added. And that's what you should expect for a general purpose technology.
Furthermore, the ETH 2.0 beacon chain very much resembles Bitcoin by design, handling consensus and global state only with applications and bloat pushed to shards (sidechains or L2+ in Bitcoin’s case).This author needs to understand the concept of tight coupling to see why shards are not like sidechains. That claim is as incorrect as claiming that the bitcoin block is a sidechain to bitcoin headers.
Whilst the Open finance ecosystem presents impressive technological and engineering successes, there remains a lingering risk of over reliance on third party protocols for value accrual to the ETH token.Yes, general purpose technology requires at least one application to succeed. We know that. BTW ETH itself being used for payments is also a totally reasonable application, and has not been denounced.
A relatively centralised governance and an unsound monetary policy with signs this will only deteriorate in time.Once again bare assertion with no evidence. How do we know that the monetary policy and governance will only deteriorate over time when all evidence suggests (i) issuance only going down, not up, and (ii) DAO-like forks becoming more difficult, not less?
Ethereum has historically required more specialised, high performance hardware for the operation of nodes. This is generally a result of a larger scope of transactions and heavier demand on block-space from Turing Completeness.Actually it's largely because of IO issues, which will be solved by stateless clients.
The author challenges readers to consider how far advanced Bitcoin is in achieving the goals of digital, sound, immutable money whilst Ethereum has ventured down numerous dead end rabbit holes.THE ABILITY TO VENTURE DOWN A WHOLE BUNCH OF RABBIT HOLES IN PARALLEL IS THE ETHEREUM COMMUNITY'S STRENGTH!!!1! Where else do you see as many parallel tracks like sharding, PoS, Plasma, generalized state channels, optimistic rollup, ZK rollup, stablecoins, DAOs all happening at the same time?
Bitcoin malleability was explained by Ed Felton in 2014. Felton is a Professor of computer science who joined the White House Office of Science and Technology earlier this year. “This could be a ... Bitcoin Transaction Malleability And MtGox. By martinsen93bruun on Monday, March 23 2020, 17:42 . The attacker may resolve not nameless it's more personal keys are found right here. Up until 2017 the company's income was reported at 1 billion and extra. An increasing number of capital into joining a mining pool could trigger a expensive distributed shared registers. Free entry places an higher ... To understand transaction malleability, you should think of Bitcoin as a global ledger and transactions as bank checks. A transaction identifier, called a transaction hash, is something like a fingerprint and is unique. Unlike a fingerprint, the transaction ID changes if the transaction it represents changes in any way. Much like bank checks have written… Transaction malleability fix. A major issue with Bitcoin was the ability to potentially tamper with transaction signatures. If a signature is altered, it could result in a transaction between two parties being corrupted. Since the data stored on blockchains are virtually immutable, invalid transactions could be permanently stored on the blockchain. With SegWit, signatures are no longer a part ... Transaction malleability is a loophole in the bitcoin protocol that was most famously used in February 2014 to allegedly withdraw funds from Mt Gox.. The idea behind transaction malleability is that a user who is tracking transactions via their hash would not be able to trace the transaction if the hash was changed. How Bitcoin Transaction Malleability was Used to Rob Mt. Gox. The scam worked like this. The first step was for an attacker to submit a withdrawal request to the exchange. The attackers would then alter the hash of the transaction which was then resubmitted to the network. When Mt. Gox looked for the transaction and could not find it, they would resubmit the funds to the user. The attack could ...
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