That can happen for short periods of time because of factors such as herding behavior. But it is not sustainable without an infinite number of people. For this reason, a crash, or correction, is inevitable.
Although this theory is a popular way to justify inflation amongst central bankers, it does not appear to always hold true and is considered controversial amongst economists. Consumer electronics is one example of a market where prices constantly fall but which is not in depression. Similarly, the value of bitcoins has risen over time and yet the size of the Bitcoin economy has also grown dramatically along with it. Because both the value of the currency and the size of its economy started at zero in 2009, Bitcoin is a counterexample to the theory showing that it must sometimes be wrong.
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The bitcoin mining world is now solidly in the Application Specific Integrated Circuit (ASIC) era. An ASIC is a chip designed specifically to do one thing and one thing only. Unlike FPGAs, an ASIC cannot be repurposed to perform other tasks.
To heighten financial privacy, a new bitcoin address can be generated for each transaction.[89] For example, hierarchical deterministic wallets generate pseudorandom “rolling addresses” for every transaction from a single seed, while only requiring a single passphrase to be remembered to recover all corresponding private keys.[90] Researchers at Stanford University and Concordia University have also shown that bitcoin exchanges and other entities can prove assets, liabilities, and solvency without revealing their addresses using zero-knowledge proofs.[91] “Bulletproofs,” a version of Confidential Transactions proposed by Greg Maxwell, have been tested by Professor Dan Boneh of Stanford.[92] Other solutions such Merkelized Abstract Syntax Trees (MAST), pay-to-script-hash (P2SH) with MERKLE-BRANCH-VERIFY, and “Tail Call Execution Semantics, have also been proposed to support private smart contracts.[93]
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The blockchain world proposes something different. Imagine some group like Protocol Labs decides there’s a case to be made for adding another “basic layer” to the stack. Just as GPS gave us a way of discovering and sharing our location, this new protocol would define a simple request: I am here and would like to go there. A distributed ledger might record all its users’ past trips, credit cards, favorite locations — all the metadata that services like Uber or Amazon use to encourage lock-in. Call it, for the sake of argument, the Transit protocol. The standards for sending a Transit request out onto the internet would be entirely open; anyone who wanted to build an app to respond to that request would be free to do so. Cities could build Transit apps that allowed taxi drivers to field requests. But so could bike-share collectives, or rickshaw drivers. Developers could create shared marketplace apps where all the potential vehicles using Transit could vie for your business. When you walked out on the sidewalk and tried to get a ride, you wouldn’t have to place your allegiance with a single provider before hailing. You would simply announce that you were standing at 67th and Madison and needed to get to Union Square. And then you’d get a flurry of competing offers. You could even theoretically get an offer from the M.T.A., which could build a service to remind Transit users that it might be much cheaper and faster just to jump on the 6 train.
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