How many dogs do you get for digging a fish pond
According to the current difficulty calculation, we can dig about 1.012 Laite coins a day. This is the average calculation result in the mine pool. If there is an efficient mine pool or solo, maybe more
litecoin (abbreviated as LTC, currency symbol: 321;) It is a kind of network currency based on "peer-to-peer" technology. It is also an open source software project under MIT / X11 license. It can help users make instant payments to anyone in the world
lightcoin is inspired by bitcoin (BTC) and has the same implementation principle in technology. The creation and transfer of lightcoin is based on an open source encryption protocol and is not managed by any central organization. Lightcoin aims to improve bitcoin. Compared with bitcoin, lightcoin has three significant differences. First, the lightcoin network can process a block every 2.5 minutes (instead of 10 minutes), so it can provide faster transaction confirmation. Second, the lightcoin network is expected to proce 84 million lightcoins, four times the amount of money issued by bitcoin network. Thirdly, the scrypt encryption algorithm first proposed by Colin Percival is used in lightcoin's workload proof algorithm, which makes it easier to mine lightcoin on ordinary computer than bitcoin. Each Leyte is divided into 100000000 smaller units, defined by eight decimal places
design purpose
it is based on bitcoin protocol, but it is different from bitcoin in that even at the present stage, it can efficiently "mine" through consumer hardware. Liteoin provides you with faster transaction confirmation (2.5 minutes on average). It uses hard memory and mining workload proof algorithm based on scrypt (an encryption algorithm). It is oriented to ordinary computer and graphics processor (GPU) used by most people. The litecain network is expected to proce 84 million currency units
one of the design purposes of litecoin is to provide a mining algorithm, which can be run simultaneously on the bitcoin mining machine. With the rise of application specific integrated circuits (ASIC) designed for bitcoin mining, litecoin is also closely following the technological evolution. But before the widespread use of litecoin currency, it is unlikely that there will be an application specific integrated circuit (ASIC) specially designed for litecoin
related website community
< UL >official website of litecoin
official forum of litecoin
lightcoin China community
transactions
a peer-to-peer network similar to bitcoin handles lightcoin transactions, balances, and issues through a script workload proof scheme (when a sufficiently small hash value is found, the, A block will be created, and the lightcoin will be issued. The process of discovering the hash value and creating the block is called "mining"). The issuing rate of Leyte coins is reced by half every four years (every 840000 pieces) according to the proportional sequence, and finally the total number of LTCs is 84 million. Unlike bitcoin, the memory intensive feature of script makes it more suitable for "mining" with graphics processor (GPU). FPGA (field programmable gate array) and ASIC (application specific integrated circuit) implemented for script are more expensive than sha256 used for bitcoin
currently, lightcoin can exchange legal tender and bitcoin, most of which are through online trading platforms. Revocable transactions (such as credit card transactions) are generally not used to purchase Leyte, because Leyte transactions are irreversible, which brings the risk of refund. As of April 25, 2013, a Leyte is worth about $3.97 or 0.028 bitcoin. This makes Leyte the second largest electronic currency with a market value of about $35 million
client
litecain is a free software project released under MIT / X11 license, which allows you to run, modify and the software according to your own needs. You can also release a modified version of the software if you like
the software is released in a completely transparent form, and users can independently verify the binary version and the corresponding source code
mine pool
the lightcoin is generated by "miner's mining". Mining is done by hashing with computer graphics card. If the value of "mine burst" is calculated, the system will reward 50 lightcoins at one time. At present, the computing power of lightcoin is growing rapidly, and the miner can't find the mine through several computers. Therefore, it is necessary to join the mine pool, which collects all the computing power, It is estimated that the probability of calculating the "blasting" value is higher
at present, the well-known mine pools include BTCC (original bitcoin China) mine pool, waltc.net fish pool (f2pool), wemineltc, coinotron, silverfish, liteguardian, litecoin pool.org, etc. But at present, the highest income is f2pool. Recently, it launched lightcoin theory income + 10% of mine pool subsidy = your actual income, which has attracted the attention of many miners and the instry
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the world's main active countries, the exchange rate of digital currency <
symbol
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lightcoin
LTC
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litecoin / org
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script
data block chain
litecoin block chain, compared with its competitor bitcoin, can handle larger transaction volume. Due to the more frequent generation of data blocks, the network can support more transactions without modifying the software in the future
as a result, businesses can obtain faster transaction confirmation, and they can still wait for more transaction confirmation when they sell large value procts
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performance or not extreme events. If we are very eye-catching, next time we will be a little worse, and if we are not as good as we want, we may do better next time. However,
regression mean is not a natural law, but only a statistical tendency, and it takes quite a long time to occur. Francis Galton
our performance I often changes around the average. Extreme performance is not so extreme next time. Why? Because the measurement method is not 100% accurate, any measurement method contains random error. When measurements are too extreme, they may be caused in part by luck. On the second measurement, the effect of luck may decrease
if we give up the unsuccessful method and use a similar or worse method, we may do better this time<
mistaking correlation for cause:
correlation refers to the relationship or connection between two or more variables. We tend to think that after two things happen one after another, the former is the cause and the latter is the result. However, the change of one variable is closely related to the change of another variable, or the person
echoes with each other from afar does not mean that one party is the cause of the other party, and the third party factor may be the cause of the two changes. Suppose we find that there is a high correlation between money and happiness, but it is not clear whether money brings happiness, happiness creates wealth, or a third party leads to both
there is a case about statistics. In 1992, it was reported that 28 teenagers often committed suicide by playing Dragon and ngeon games. What are the conclusions? Is adolescent suicide related to this game? American mathematician John Allen Paul considers this event from many facts in his book number blindness. The game has sold millions of versions, with about three million teenage players. In this age group,
the annual suicide rate is 100000: 12. This indicates that 360 people should commit suicide every year
quoted from Darwin to Munger, the more extreme the raw data are, the more obvious the regression we expect, because excellent scores often indicate good luck on the day. This kind of regression prediction is very reasonable, but the accuracy is not guaranteed
regression effect is ubiquitous, and many misleading causal events that can explain this effect are also common. There is a classic example: all the athletes who appear on the cover of Sports Illustrated will perform poorly in the following
season. Generally speaking, people will think that overconfidence and the pressure of people to expect too much from them cause these people to perform poorly. However, this curse can be explained in a simpler way: the player who can become the cover character must have performed extremely well in the previous season, and perhaps this excellent performance is largely e to luck - luck is changeable, and then he will not be so lucky
regression effects can be seen everywhere, but we can't recognize their true features
the correlation coefficient between the two values refers to the relative proportion of the common factors of the two values, which fluctuates between 0-1. The following examples can help us better understand the correlation coefficient:
* the correlation coefficient between the accurate measurement results of an object model in English units and those in metric units is 1. Any factor that affects one value affects the other. Both share the same decisive factor< br /> * The correlation coefficient between the self-reported height and weight of alt men in the United States is 0.41. If women and children are included, the correlation coefficient will be higher, because gender and age will affect the height and weight, which makes the proportion of common factors increase< br /> * The correlation coefficient between sat and GPA is about 0.6. However, the correlation between potential test and success of graate students is much smaller, which is largely e to the small potential difference of this group. If everyone has similar potential, then the factor of potential will not account for a large proportion in measuring success< br /> * The correlation coefficient between American income and ecation level is 0.4
0.5 * The correlation coefficient between family income and the last four digits of their phone number is 0
it took Francis Galton several years to determine that correlation and regression are not two concepts - they just explain the same concept from different perspectives. The principle of this concept is very simple, but the impact is far-reaching: as long as the correlation between two values is not high, there will be a return to the mean
our thinking is often biased towards the explanation of causality, and we are not good at handling statistical data. When we focus our attention on an event, the relevant memory begins to explore its causes - more specifically, we will automatically search for all the reasons that already exist in the memory. When the regression effect is found, the causality explanation will be activated, but in fact these explanations are wrong, because although the regression mean can be used to explain the phenomenon, the reason can not be found. In Golf Championships, those who succeed on the first day usually play poorly on the second day, and this kind of competition always attracts our attention. The best explanation for this
phenomenon is that the players are so lucky on their first day, but this explanation lacks the causal factor recognized by our brain. In fact, those who can provide a clever explanation for the regression effect tend to make a lot of money. If a business commentator claims that "this year's business is better than last year, because last year was too bad", although he is right, he is likely to be silenced by the radio soon
there are many difficulties in our understanding of the concept of regression, which all originate from two systems: System 1 and system 2. In a considerable number of cases, even if some statistical data are provided, the relationship between "Xiang
Guan" and "regression" is rather vague without special explanation. Therefore, system 2 finds it difficult to understand this relationship. To some extent, it is because we always ask for causal interpretation of things, and it is also a feature of system 1
it is not only the public readers who make wrong causal explanations for regression effect. Howard Wiener, a statistician, once named a long list of outstanding researchers who made the same mistake of confusing correlation with causality. Regression mean is a common problem in scientific research, and experienced scientists will carefully put the trap formed by causal inference without any reason
as Galton found out through hard work, the concept of regression has never been obvious<
example:
"she said that experience had taught her that criticism is more useful than praise. But she doesn't understand that it's a regressive average that works. "
"maybe his second interview was not as impressive as the first one because he was afraid of letting people down. His first performance was excellent."
"our screening process is not perfect, so we will consider regression. Some of the best candidates will disappoint us. They are not surprised at us
It is suggested that spssau can be used to generate simple slope map directly
The operation method is as follows: < UL >select [questionnaire research] - moderating effect]
The method and operation steps of drawing adjustment effect diagram in Excel are as follows:
1. First, open a prepared table, as shown in the figure below