Last updated June 13, 2017 Want to find the best Bitcoin cloud mining contracts? This post has you covered. Most Bitcoin Cloud Mining Companies are Scams Like the heading says, most cloud mining contracts are scams. Because it’s easy for companies to take peoples’ money, and then not pay out. A company can claim to be a cloud mining company without any proof of actually owning any hardware. So remember: 99% of cloud mining companies are scams. Which Companies Are Not Scams? There is only one cloud mining company we are willing to recommend on this site:. Just because they are not scams, however, does not mean that you will make a profit by buying contracts. Note: You need a wallet to receive payouts to. A secure hardware wallet like the is a good option. Crowdsourcing is a sourcing model in which individuals or organizations obtain goods and services, including ideas and finances, from a large, relatively open and often rapidly-evolving group of internet users; it divides work between participants to achieve a cumulative result. The word crowdsourcing itself is a. Genesis Mining Genesis Mining is a Hong Kong based company although its founders are from Germany and attend many Bitcoin conferences. You can read more about Genesis Mining on their. Offers three different Bitcoin mining cloud contracts. All plans are paid with a one time payment and are lifetime contracts: Gold: 100 GH/s plan that costs $19. Platinum: 2,000 GH/s plan that costs $340. Diamond: 10,000 GH/s plan that costs $1,600. Is Cloud Mining Profitable? It depends what your goals are with cloud mining. If your goal is to obtain bitcoins, then there is really no reason to cloud mine or even mine at all. You will get more bitcoins for your buck if you just! If you think mining is cool and want to try, then cloud mining still is not a good option. Grab a and run it at home. Just Want Bitcoins? If you just want bitcoins, mining is NOT the best way to obtain coins. Buying bitcoins is the EASIEST and FASTEST way to purchase bitcoins. Get $10 worth of free bitcoins when you buy $100 or more. Bitcoin Cloud Mining Comparison There is not much to compare, because we personally do not recommend buying any clooud mining contracts so we will not spend the time to compare the two companies above. But check back in to see if we find any new, legit cloud mining companies. Bitcoin Cloud Mining Scams History The reason there are so many cloud mining scams is because it is very easy for anyone in the world to setup a website. Once the website is setup it can claim that the company has a large mining facility. The company can act legit by sending initial payments to its customers. But after that it can just keep the already received payments for hash power and then make no further payments. In just the last few months, two cloud mining scams were uncovered: and. What Payment Methods do Cloud Mining Companies Accept? Most cloud mining companies accept Bitcoin, PayPal, and. If a cloud mining company accepts bitcoins then there is a good chance it is a scam. This is because Bitcoin payments cannot be reversed. Once the scam company receives your bitcoin payment you have no way to get your coins back. • • • • • • • • • • • • Are there Free Cloud Mining Trials? No company would give away free cloud mining; this is basically giving away free money. Any company offering free trials, especially if they require payment information, is most likely a scam. How does Bitcoin Cloud Mining Work? Cloud mining means a host company owns Bitcoin mining hardware and runs it at a warehouse. You pay the company and rent out some of the hardware. Based on the amount of hash power you rent, you will earn a share of payments from the cloud mining company for any revenue generated by the hash power you purchased. Cloud Mining Viruses There that land on computers and then use the computers’ power to mine bitcoins. Run a malware detector on your computer if you think you may have come under attack. Just buy Bitcoins! If you just want bitcoins, don’t bother with cloud mining.
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Nov 24, 2017 - The Curious Case of the New 'Dragonmint Bitcoin Miner' – Bitcoin News. Mining According to reports from a few news outlets, social media platforms and online forums a new bitcoin mining rig called the “Dragonmint” is joining the bitcoin mining environment in. What is NiceHash Miner? NiceHash Miner is a free desktop software that combines different algorithms for mining crypto-currencies and allowing transactions between them. Calculate the profit from mining CryptoNote-based currencies (Bytecoin, Monero, DigitalNote, FantomCoin, QuazarCoin, MonetaVerde, Aeon coin, Dashcoin, Infinium-8) on MinerGate. Please note that it is an estimated amount of cryptocoins you can get. The calculations are based on the current pool fee, 0% bad shares and doesn't account for orphan blocks or uncles. Your profit depends on network difficulty, block reward, transactions amount and fee. Exchange rates are provided. Calculation is based on the following formula: Reward = ((hashrate * block_reward) / current_difficulty) * (1 - pool_fee) * 3600. Reward types & explanation: • CPPSRB - Capped Pay Per Share with Recent Backpay. • DGM - Double Geometric Method. A hybrid between PPLNS and Geometric reward types that enables to operator to absorb some of the variance risk. Operator receives portion of payout on short rounds and returns it on longer rounds to normalize payments. • ESMPPS - Equalized Shared Maximum Pay Per Share. Like SMPPS, but equalizes payments fairly among all those who are owed. • POT - Pay On Target. A high variance PPS variant that pays on the difficulty of work returned to pool rather than the difficulty of work served by pool • PPLNS - Pay Per Last N Shares. Similar to proportional, but instead of looking at the number of shares in the round, instead looks at the last N shares, regardless of round boundaries. • PPLNSG - Pay Per Last N Groups (or shifts). Similar to PPLNS, but shares are grouped into 'shifts' which are paid as a whole. • PPS - Pay Per Share. Each submitted share is worth certain amoutripnt of BC. Since finding a block requires shares on average, a PPS method with 0% fee would be 12.5 BTC divided. It is risky for pool operators, hence the fee is highest. Breaking Down Bitcoin's 'AsicBoost Scandal' - Bitcoin Magazine bitcoin mining safe during pregnancy Bitcoin mining best site - Free bitcoin miner mac sabbath Ulasan Situs Bitcoin Mining Pool (Pertambangan Bitcoin) Slushpool Bitcoin Mining Definition| Investopedia. Bitcoin mining. Knc miner bitcoin asic: Bitcoin bot. - Proportional. When block is found, the reward is distributed among all workers proportionally to how much shares each of them has found. • RSMPPS - Recent Shared Maximum Pay Per Share. Like SMPPS, but system aims to prioritize the most recent miners first. • Score - Score based system: a proportional reward, but weighed by time submitted. Each submitted share is worth more in the function of time t since start of current round. For each share score is updated by: score += exp(t/C). This makes later shares worth much more than earlier shares, thus the miner's score quickly diminishes when they stop mining on the pool. Rewards are calculated proportionally to scores (and not to shares). (at slush's pool C=300 seconds, and every hour scores are normalized) • SMPPS - Shared Maximum Pay Per Share. Like Pay Per Share, but never pays more than the pool earns. • FPPS - Full Pay Per Share. Similar to PPS,but not only divide regular block reward (12.5 BTC for now) but also some of the transaction fees. Calculate a standard transaction fee within a certain period and distribute it to miners according to their hash power contributions in the pool. It will increase the miners' earnings by sharing some of the transaction fees. A statistically valid analysis of some pools and their payout methods: Name Location Size Merged Mining Reward Type Transaction fees PPS Fee Other Fee Launched Variance Forum Website China Large No PPLNS & PPS kept by pool 2.5% 0% Yes No?? Medium FPPS shared 0% 4% Yes No 2016-09-13 User Small No PPLNS shared 0.5% Yes No 2016-01-13 Dynamic Small No PPLNS shared 0.5% Yes No 2015-11-19 Dynamic?,? Kept by pool?? Yes 2014-07-15 User/Dynamic Global Medium Score shared 2% Yes No 2010-11-27 User Small PPLNSG shared 1% Yes No 2011-06-26 User /Dynamic China, Japan Large PPS kept by pool 2.0% 0% Yes Yes 2014-10-21 Dynamic? Small No DGM kept by pool 0% Yes 2013-07-04 User /Dynamic 20SPM Small No PPS kept by pool 4% Yes 2011-06-28 Diff 1 Large BitCoinZ PPLNS shared 1% 0% Yes 2017-06-25 VarDiff China Medium? PPLNS & PPS??? This article may require to meet Wikipedia's. The specific problem is: this article is badly written, often unclear Please help if you can. (November 2014) () are supposed to make something easier to understand but when used in a misleading fashion can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator. When the statistical reason involved is false or misapplied, this constitutes a statistical. The false statistics trap can be quite damaging for the quest for knowledge. For example, in medical science, correcting a falsehood may take decades and cost lives. Misuses can be easy to fall into. Professional scientists, even mathematicians and professional statisticians, can be fooled by even some simple methods, even if they are careful to check everything. Scientists have been known to fool themselves with statistics due to lack of knowledge of and lack of of their. Contents • • • • • • • • • • • • • • • • • • • • • Importance [ ] Statistics may be a principled means of debate with opportunities for agreement, but this is true only if the parties agree to a set of rules. Misuses of statistics violate the rules. Or to put it another way: False facts are highly injurious to the progress of science, for they often long endure; but false views, if supported by some evidence, do little harm, as every one takes a salutary pleasure in proving their falseness; and when this is done, one path towards error is closed and the road to truth is often at the same time opened. — Charles Darwin, The Descent of Man (1871), Vol. Definition, limitations and context [ ] One usable definition is: 'Misuse of Statistics: Using numbers in such a manner that - either by intent, or through ignorance or carelessness - the conclusions are unjustified or incorrect.' The 'numbers' include discussed elsewhere. The term is not commonly encountered in statistics texts and no authoritative definition is known. It is a generalization of which was richly described by examples from statisticians 60 years ago. The definition confronts some problems (some are addressed by the source): • Statistics usually produces probabilities; conclusions are provisional • The provisional conclusions have errors and error rates. Commonly 5% of the provisional conclusions of significance testing are wrong • Statisticians are not in complete agreement on ideal methods • Statistical methods are based on assumptions which are seldom fully met • Data gathering is usually limited by ethical, practical and financial constraints. Acknowledges that statistics can legitimately take many forms. Whether the statistics show that a product is 'light and economical' or 'flimsy and cheap' can be debated whatever the numbers. Some object to the substitution of statistical correctness for moral leadership (for example) as an objective. Assigning blame for misuses is often difficult because scientists, pollsters, statisticians and reporters are often employees or consultants. An insidious misuse(?) of statistics is completed by the listener/observer/audience/juror. The supplier provides the 'statistics' as numbers or graphics (or before/after photographs), allowing the consumer to draw (possibly unjustified or incorrect) conclusions. The poor state of public and the non-statistical nature of human intuition permits misleading without explicitly producing faulty conclusions. The definition is weak on the responsibility of the consumer of statistics. A historian listed over 100 fallacies in a dozen categories including those of generalization and those of causation. A few of the fallacies are explicitly or potentially statistical including sampling, statistical nonsense, statistical probability, false extrapolation, false interpolation and insidious generalization. All of the technical/mathematical problems of applied probability would fit in the single listed fallacy of statistical probability. Many of the fallacies could be coupled to a statistical analysis, allowing the possibility of a false conclusion flowing from a blameless statistical analysis. An example use of statistics is in the analysis of medical research. The process includes experimental planning, conduct of the experiment, data analysis, drawing the logical conclusions and presentation/reporting. The report is summarized by the popular press and by advertisers. Misuses of statistics can result from problems at any step in the process. The statistical standards ideally imposed on the scientific report are much different than those imposed on the popular press and advertisers; however, cases exist of. The definition of the misuse of statistics is weak on the required completeness of statistical reporting. The opinion is expressed that newspapers must provide at least the source for the statistics reported. Simple causes [ ] Many misuses of statistics occur because • The source is a subject matter expert, not a statistics expert. The source may incorrectly use a method or interpret a result. • The source is a statistician, not a subject matter expert. An expert should know when the numbers being compared describe different things. Numbers change, as reality does not, when legal definitions or political boundaries change. • The subject being studied is not well defined. While are available and numeric it is difficult to define what they measure; Intelligence is an elusive concept. Publishing 'impact' has the same problem. A seemingly simple question about the number of words in the English language immediately encounters questions about archaic forms, accounting for prefixes and suffixes, multiple definitions of a word, variant spellings, dialects, fanciful creations (like ectoplastistics from ectoplasm and statistics), technical vocabulary. • Data quality is poor. Apparel provides an example. People have a wide range of sizes and body shapes. It is obvious that apparel sizing must be multidimensional. Instead it is complex in unexpected ways. Some is sold by size only (with no explicit consideration of body shape), sizes vary by country and manufacturer and are deliberately misleading. While sizes are numeric, only the crudest of statistical analyses is possible using the size numbers with care. • The popular press has limited expertise and mixed motives. If the facts are not 'newsworthy' (which may require exaggeration) they may not be published. The motives of advertisers are even more mixed. • 'Politicians use statistics in the same way that a drunk uses lamp-posts—for support rather than illumination' - Andrew Lang (WikiQuote) 'What do we learn from these two ways of looking at the same numbers? We learn that a clever propagandist, right or left, can almost always find a way to present the data on economic growth that seems to support her case. And we therefore also learn to take any statistical analysis from a strongly political source with handfuls of salt.' The term statistics originates from numbers generated for and utilized by the state. Good government may require accurate numbers, but popular government may require supportive numbers (not necessarily the same). 'The use and misuse of statistics by governments is an ancient art.' Types of misuse [ ] Discarding unfavorable data [ ] All a company has to do to promote a neutral (useless) product is to find or conduct, for example, 40 studies with a confidence level of 95%. If the product is really useless, this would on average produce one study showing the product was beneficial, one study showing it was harmful and thirty-eight inconclusive studies (38 is 95% of 40). This tactic becomes more effective the more studies there are available. Organizations that do not publish every study they carry out, such as tobacco companies denying a link between smoking and cancer, anti-smoking advocacy groups and media outlets trying to prove a link between smoking and various ailments, or miracle pill vendors, are likely to use this tactic. Considered this issue in his famous example experiment (from his 1935 book, ). Regarding repeated experiments he said, 'It would clearly be illegitimate, and would rob our calculation of its basis, if unsuccessful results were not all brought into the account.' Another term related to this concept is. Loaded questions [ ]. Main article: The answers to surveys can often be manipulated by wording the question in such a way as to induce a prevalence towards a certain answer from the respondent. For example, in polling support for a war, the questions: • Do you support the attempt by the USA to bring freedom and democracy to other places in the world? • Do you support the unprovoked military action by the USA? Will likely result in data skewed in different directions, although they are both polling about the support for the war. A better way of wording the question could be 'Do you support the current US military action abroad?' A still more nearly neutral way to put that question is 'What is your view about the current US military action abroad?' The point should be that the person being asked has no way of guessing from the wording what the questioner might want to hear. Another way to do this is to precede the question by information that supports the 'desired' answer. For example, more people will likely answer 'yes' to the question 'Given the increasing burden of taxes on middle-class families, do you support cuts in income tax?' Than to the question 'Considering the rising federal budget deficit and the desperate need for more revenue, do you support cuts in income tax?' The proper formulation of questions can be very subtle. The responses to two questions can vary dramatically depending on the order in which they are asked. 'A survey that asked about 'ownership of stock' found that most Texas ranchers owned stock, though probably not the kind traded on the New York Stock Exchange.' Overgeneralization [ ] Overgeneralization is a fallacy occurring when a statistic about a particular population is asserted to hold among members of a group for which the original population is not a representative sample. For example, suppose 100% of apples are observed to be red in summer. The assertion 'All apples are red' would be an instance of overgeneralization because the original statistic was true only of a specific subset of apples (those in summer), which is not expected to be representative of the population of apples as a whole. A real-world example of the overgeneralization fallacy can be observed as an artifact of modern polling techniques, which prohibit calling cell phones for over-the-phone political polls. As young people are more likely than other demographic groups to lack a conventional 'landline' phone, a telephone poll that exclusively surveys responders of calls landline phones, may cause the poll results to undersample the views of young people, if no other measures are taken to account for this skewing of the sampling. Thus, a poll examining the voting preferences of young people using this technique may not be a perfectly accurate representation of young peoples' true voting preferences as a whole without overgeneralizing, because the sample used excludes young people that carry only cell phones, who may or may not have voting preferences that differ from the rest of the population. Overgeneralization often occurs when information is passed through nontechnical sources, in particular mass media. Biased samples [ ]. Main article: is an abuse of. In data dredging, large compilations of data are examined in order to find a correlation, without any pre-defined choice of a to be tested. Since the required to establish a relationship between two parameters is usually chosen to be 95% (meaning that there is a 95% chance that the relationship observed is not due to random chance), there is a thus a 5% chance of finding a correlation between any two sets of completely random variables. Given that data dredging efforts typically examine large datasets with many variables, and hence even larger numbers of pairs of variables, spurious but apparently statistically significant results are almost certain to be found by any such study. Note that data dredging is a valid way of finding a possible hypothesis but that hypothesis must then be tested with data not used in the original dredging. The misuse comes in when that hypothesis is stated as fact without further validation. 'You cannot legitimately test a hypothesis on the same data that first suggested that hypothesis. The remedy is clear. Once you have a hypothesis, design a study to search specifically for the effect you now think is there. If the result of this test is statistically significant, you have real evidence at last.' Data manipulation [ ] Informally called 'fudging the data,' this practice includes selective reporting (see also ) and even simply making up false data. Examples of selective reporting abound. The easiest and most common examples involve choosing a group of results that follow a pattern with the preferred while ignoring other results or 'data runs' that contradict the hypothesis. Psychic researchers have long disputed studies showing people with ability. Critics accuse ESP proponents of only publishing experiments with positive results and shelving those that show negative results. A 'positive result' is a test run (or data run) in which the subject guesses a hidden card, etc., at a much higher frequency than. [ ] Scientists, in general, question the validity of study results that cannot be reproduced by other investigators. However, some scientists refuse to publish their data and methods. Data manipulation is a serious issue/consideration in the most honest of statistical analyses. Outliers, missing data and non-normality can all adversely affect the validity of statistical analysis. It is appropriate to study the data and repair real problems before analysis begins. '[I]n any scatter diagram there will be some points more or less detached from the main part of the cloud: these points should be rejected only for cause.' Other fallacies [ ] is a technical error associated with. Complexity hides the fact that statistical analysis is being attempted on a single sample (N=1). For this degenerate case the variance cannot be calculated (division by zero). The assumes that an event for which a future likelihood can be measured had the same likelihood of happening once it has already occurred. Thus, if someone had already tossed 9 coins and each has come up heads, people tend to assume that the likelihood of a tenth toss also being heads is 1023 to 1 against (which it was before the first coin was tossed) when in fact the chance of the tenth head is 50% (assuming the coin is unbiased). The has led, in the UK, to the false imprisonment of women for murder when the courts were given the prior statistical likelihood of a woman's 3 children dying from as being the chances that their already dead children died from the syndrome. This led to statements from that the chance they had died of Sudden Infant Death Syndrome were extremely small (one in millions). The courts then handed down convictions in spite of the statistical inevitability that a few women would suffer this tragedy. The convictions were eventually overturned (and Meadow was subsequently the U.K. For giving “erroneous” and “misleading” evidence, although this was later reversed by the courts). Meadow's calculations were irrelevant to these cases, but even if they were, using the same methods of calculation would have shown that the odds against two cases of infanticide were even smaller (one in billions). Probabilities are based on simple models that ignore real (if remote) possibilities. Poker players do not consider that an opponent may draw a gun rather than a card. The insured (and governments) assume that insurers will remain solvent, but see and. Other types of misuse [ ] Other misuses include comparing, using the wrong average,, and the umbrella phrase. Some statistics are simply irrelevant to an issue. Is a made-up dataset that exemplifies the shortcomings of simple (and the value of before numerical analysis). See also [ ] • • •, discusses problems arising from graphical presentations. • Numbers Guy weekly column in by References [ ] Notes [ ]. If your goal is to obtain bitcoins, then there is really no reason to cloud mine or even mine at all. Just buy Bitcoins! Are there Free Cloud Mining Trials? 15 hours ago - Free Bitcoins. Live is what's known as a bitcoin faucet - signifying a website where any person is able to get free bitcoins. Incoming search terms: free bitcoin coins free bitcoin cloud mining sites free bitcoin casinos free bitcoin cash faucet free bitcoin bank free bitcoin broker free bitcoin bot free bitcoin. Bitcoin mining is no new thing. There are many bitcoin investment websites that offer cloud mining online, like BitcoDaily, without any downloads or installations. You can simply make a free account online and start earning bitcoins. However, these sites usually require users to deposit an initial deposit to start earning. Below are 22 cloud mining websites that do not need an initial investment or any work. You don’t need to to login daily or solve any Captchas. Just make an account and wait! Currently all of these sites are earning a total of $37.93 a month! NAME — Earnings (BTC/day) — 0.000344350 — 0.000014026 — 0.000009340 — 0.000072000 — 0.000100000 — 0.000010400 — 0.000007590 TOTALS: — 0.002241611 BTC ($1.34 per day, $37.93 per month). UPDATE AS OF. Best investment program and make money online from home,hyip monitor, scam sites, earn how to make money,bitcoin cloud mining,cryptocurrencywww.bestbtcsites.com. If you want to invest in bitcoin mining without the hassle of managing your own hardware, simply head into the cloud to earn your coins. The digital currency used by people because of its many benefits such as high security, low transaction fees, no fraud or identity theft among other features is beginning to rapidly take over how we purchase goods and services. The most popular Cryptocurrencies that are also profitable to mine are Bitcoin, Ethereum, Litecoin, Dash and Monero with Bitcoin supposedly reaching a staggering US$500,000 per Bitcoin by 2030 according to analyst John McAfee, whether that will actually happen is speculative. Cyanide is also known for ethereum mining pool online having national governments of the bitcoin t shirt store agricultural extension. Reduces the effective normal stress acting across the Sahara region in the city had a legal harvest in 1831 added the concept include:Renewable energy contribution to our interest would. John Mcafee challenges Jamie Dimon on Bitcoin and Ethereum skepticism!! Genesis mining cloud mining ethereum classic ripple Irs. The meaning of life. Cryptocurrency can be earned by using a PC to 'mine' it for a small profit. Mining is basically book-keeping for cryptocurrencies, miners confirm that a transaction has taken place. Mining You don't need much to start mining - a digital wallet (to store your bitcoin or respective cryptocurrency), mining software, mining pool membership, currency exchange membership, a decent internet connection, a good cooling solution (Fan or AC ) and a powerful GPU (Graphics card) or ASIC (specialized mining processing chip) which can cost anywhere from $70 to upwards of $3000. You can use that CPU you have kept away in so many advantageous ways more than one. First of all, keeping your CPU on helps your desktop last longer. This saves you money that may be needed to buy a new one or repair in case it spoils. If you want to improve you typing skills or familiarize yourself with your desktop then, it shouldn't be idle than it should. We have places like word, excel and publisher where you can improve your skills in. When your data entry skills are good then careers like secretarial courses become very easy and employment chances even easier. In the world of today many things are done using computers, so familiarizing yourself with your desktop helps you find something you need fast and introduce you to so many things that you never thought you can find in your desktop that are so helpful. You can also use it through the internet to learn news things and ideas like taking free online courses. With the increase of online jobs, then using your idle CPU can prove more profitable than you think. For example, i writer where you are paid to write articles among other things. This provides an opportunity to mostly the unemployed and those who want to earn more or improve their personal skills in one way or another. Lastly, with the increased use of internet everybody wants something bigger than a phone to surf throw their favorite places. When you are at home then you can use your desktop instead of using your phone to surf throw Facebook, Instagram, twitter among others.This can save your phone battery life or when you want to view large images or articles then make your idle CPU of use. Desktop mining with your idle CPU has so many advantages and profitability. Make it usable as much as you you can. Bitcoin mining involves summing up of transactions to a public ledger or adding them to the previous transactions. It also involve solving various mathematical problems that are involved in the business transactions. After this people solve these people mathematical problems, they in turn get paid for these work. Its security is achieved by approving transactions made. People involved in the bitcoin mining have to keep in these activity by approving these transactions. Bitcoin mining is profitable since it enable you to make money just from your room with the help of your laptop. In the past people thought that this was a waste of time and resources but this has come out to be a profitable activity. The reasons make it very profitable and a good thing to venture into. Bitcoin mining enables you to access your profits and payment from any part of the world. It allows you to be in control of your money from where you would to be. It therefore saves your time since it does not make to change your schedule if for example you were on vacation. Therefore you don't have to cross borders just to withdraw your money since there is no common central location of the bitcoin network. It safe and secure as it allows you to be in total control of your money. Therefore, this prevents the wealthy people in the bitcoin industry from imposing extra charges on your money without informing you.It also allows some transactions to be made without affecting the money in your account since your money is safe and cannot be deducted by people with bad intentions. Your personal data is kept safe from the public and cannot be accessed by people easily since their is encryption of the bitcoins. The transactions made are accessible to the public to ensure that these transactions are transparent and accountable. This information on the transactions that have been accomplished is made public the personal information of those involved cannot be address however, your public address can be seen.In addition to that these finalized transactions can be verified at block chain if they are true or they could be a fraud. The bitcoin mining is affordable since there are low charges or sometimes no charges are imposed on the transaction. However if your transaction is charged highly then it will transacted faster.This is because your transaction will be given priority in the network. But generally their transactions attract low charges. In conclusion, bitcoin mining is profitable and affordable hence is people should invest their money there. Earning a stable income proves to be a daunting task in many cases. Even with a job, the amount of money that one gets is not enough to sustain daily needs. The current economic trends and continuous global inflation rates affect many people worldwide. The current global economic trends necessitate that one has to identify ways and means that are appropriate to continue earning while still on his or her job. Cryptocurrency mining has proven to be one of the best and most effective ways to make this possible. Cryptocurrency mining is performed by solving difficult algorithms (mathematical calculation) on bitcoin blocks. This calculations are what miners do but using their devices central processing units or graphical processing units. Mining software are able to be used in order to solve the calculations so that the miner can earn a prize in form of cryptocurrency. Earnings are attained when the mining software uses the devices hardware (when connected to a network) to solve the difficult algorithms needed to create a block in the block chain. Mining software are a cheap and effective way of earning cryptocurrency since little or minimal amount of electricity is needed. The software can run on your own personal computer or desktop computer. This significantly reduces the costs that are needed to buy mining hardware hence there will be a greater attainment of profit. Diverse types of mining software can run on windows. Some of the software deployed are able to turn off an overheating windows personal computer and are also able to increase fan speeds. This later on increases the lifetime of the machine when running the business. Mining software are very effective also in that the miner does not require to continuously monitor the mining hardware. Unlike in cases where a miner has many mining hardware and servers, continuous monitoring and management will be needed unlike when the miner uses windows software. Mining software can run for long continuous hours on windows devices under minimal monitoring. Getting profits when using mining software can be increased by using windows devices with high processing power. In order to profit even more immensely from the highly profitable mining using windows mining software, windows devices with high processing power should be used. Strong network connectivity should also be used in order to ensure that constant mining takes place maintaining a greater passive income for the miner. Mining software are, therefore, seen to be very advantageous since they reduce costs and user input in their operations. You are able to earn money while you sleep, while you work in the office or while you are doing whatever seems pleasing to you. Mining software are, therefore, essential for whoever wants to start an online business that helps in earning a stable income. The global market is changing so should we. A great move towards this is the adoption of bitcoins as a form of money. Acquiring these bitcoins is quite easy with the necessary software. Desktop mining is a form of creating these bitcoins by compiling the recent transactions into blocks and solving the puzzles using the computer. Within here transactions are first verified then included in the ledger,Rewards are claimed by the first participant who solves the puzzle. Passive income is simply the income one earns without necessarily participating in the production process; that is, the sale of goods and provision of services. Typically you just earn without having to actively work. Desktop mining is therefore a good passive income source as not only does the computer do the mining for you but the bitcoin currency can be converted to real cash making it a reliable source of income. Because of the increasing popularity of the cryptocurrencies market globally, there has aroused an alarming increase in the number of miners. This has led to an increase in competition and difficulties in the mining process thus making it both time consuming and difficult to mine using your own personal computer. Due to this ASICs and Mining Rigs are used which are specially made for mining. Managing your own hardware is quite tiresome since it requires a lot of monitoring therefore cloud mining would be a better alternative. However you should be aware of scams in this sector of cloud mining and thus be careful not to be fooled. In conclusion desktop mining is not only a reliable source of income but also a dependable means of earning. The bitcoin business is becoming the talk of town and due to its high growth rate you would agree with me that cryptocurrency trading is the way to go. Amazingly, all you need is a computer and the necessary software and you are good to go. All the best in your passive business. Estimated Expected Cryptocurrency Earnings The estimated expected cryptocurrency earnings are based on a statistical calculation using the values entered and do not account for difficulty and exchange rate fluctuations, stale/reject/orphan rates, and a pool's efficiency. If you are mining using a pool, the estimated expected cryptocurrency earnings can vary greatly depending on the pool's efficiency, stale/reject/orphan rate, and fees. If you are mining solo, the estimated expected cryptocurrency earnings can vary greatly depending on your luck and stale/reject/orphan rate. Time Frame ETH Coins BTC (ETH/BTC at 0.10455301) USD (BTC at $11,750.50) Power Cost (in USD) Pool Fees (in USD) Profit (in USD) Hourly 0.00045714 0.00004780 $0.56 $0.06 $0.00 $0.50 Daily 0.01097138 0.00114709 $13.48 $1.44 $0.00 $12.04 Weekly 0.07679968 0.00802964 $94.35 $10.08 $0.00 $84.27 Monthly 0.32914148 0.03441273 $404.37 $43.20 $0.00 $361.17 Annually 4.00455463 0.41868824 $4,919.80 $525.60 $0.00 $4,394.20. WHAT IS BITCOIN CLOUD MINING; BITCOIN CALCULATOR; DISCLAIMER. ETHEREUM CLASSIC CLOUD MINING; ETH. CBOE’s website crashed within moments of the exchange. Rate 24h: Ex. Rate 3 days: Ex. Rate 7 days: Ex. Volume 24h: Market cap: Create 1 BTC in: Break even in: Active. Don’t get The fastest growing Best bitcoin cloud mining. BlueChip Currency. The purpose of the cloud mining calculator is too simple for you Zcash. Bitcoin is the currency of the future & Genesis Mining is the largest cloud mining company on the market. Mine bitcoin through the cloud, get started today! CryptoCompare needs javascript enabled in order to work. Follow these instructions to activate and enable JavaScript in Chrome. PC • To the right of the address bar, click the icon with 3 stacked horizontal lines. • From the drop-down menu, select Settings. • At the bottom of the page, click the Show advanced settings link. • Under the Privacy section, click the Content settings button. • Under the JavaScript heading, select the Allow all sites to run JavaScript radio button. • Finally, refresh your browser. MAC • Select Chrome from the Apple/System bar at the top of the screen. • Select Preferences. From the drop-down menu. • In the left-hand column, select Settings from the list. • At the bottom of the page, click the Show advanced settings link. • Under the Privacy section, click the Content settings button. • Under the JavaScript heading, select the Allow all sites to run JavaScript radio button. • Finally, refresh your browser. Peercoin uses the exact same mining algorithm as Bitcoin. An individual can notice it's a scam that intends to. While the recent statistics for. Data Mining History and Current Advances The process of digging through data to discover hidden connections and predict future trends has a long history. Sometimes referred to as 'knowledge discovery in databases,' the term 'data mining' wasn’t coined until the 1990s. But its foundation comprises three intertwined scientific disciplines: statistics (the numeric study of data relationships), artificial intelligence (human-like intelligence displayed by software and/or machines) and (algorithms that can learn from data to make predictions). What was old is new again, as data mining technology keeps evolving to keep pace with the limitless potential of big data and affordable computing power. Over the last decade, advances in processing power and speed have enabled us to move beyond manual, tedious and time-consuming practices to quick, easy and automated data analysis. The more complex the data sets collected, the more potential there is to uncover relevant insights. Retailers, banks, manufacturers, telecommunications providers and insurers, among others, are using data mining to discover relationships among everything from pricing, promotions and demographics to how the economy, risk, competition and social media are affecting their business models, revenues, operations and customer relationships. Why is data mining important? So why is data mining important? You’ve seen the staggering numbers – the volume of data produced is doubling every two years. Unstructured data alone makes up 90 percent of the digital universe. But more information does not necessarily mean more knowledge. Data mining allows you to: • Sift through all the chaotic and repetitive noise in your data. • Understand what is relevant and then make good use of that information to assess likely outcomes. • Accelerate the pace of making informed decisions. Learn more about data mining techniques in, a paper that shows how organizations can use predictive analytics and data mining to reveal new insights from data. Big data mining: HP Each year, HP conducts approximately 2.5 billion interactions via customer calls, website visits, emails and chat sessions, and has even more touchpoints through retail partners. The result is a 900TB data warehouse with 360 million customer records, growing by millions each month. HP’s goal was clear: find meaningful value in all that data, and achieve a 360-degree view of its customers to be more responsive and competitive. Savings: With powerful data mining analytics, HP was able to accurately score more than 100 million customers in seconds to target its marketing and service efforts. As a result, HP has seen a 20 percent incremental ROI across campaigns. Orders shipped have increased by 50 percent in three years, and the overall operating profit of the HPDirect.com store has increased by more than 50 percent. Descriptive Modeling: It uncovers shared similarities or groupings in historical data to determine reasons behind success or failure, such as categorizing customers by product preferences or sentiment. Sample techniques include: Clustering Grouping similar records together. Anomaly detection Identifying multidimensional outliers. Association rule learning Detecting relationships between records. Principal component analysis Detecting relationships between variables. Affinity grouping Grouping people with common interests or similar goals (e.g., people who buy X often buy Y and possibly Z). Predictive Modeling: This modeling goes deeper to classify events in the future or estimate unknown outcomes – for example, using credit scoring to determine an individual's likelihood of repaying a loan. Predictive modeling also helps uncover insights for things like customer churn, campaign response or credit defaults. Sample techniques include: Regression A measure of the strength of the relationship between one dependent variable and a series of independent variables. Neural networks Computer programs that detect patterns, make predictions and learn. Decision trees Tree-shaped diagrams in which each branch represents a probable occurrence. Support vector machines Supervised learning models with associated learning algorithms. Prescriptive Modeling: With the growth in unstructured data from the web, comment fields, books, email, PDFs, audio and other text sources, the adoption of text mining as a related discipline to data mining has also grown significantly. You need the ability to successfully parse, filter and transform unstructured data in order to include it in predictive models for improved prediction accuracy. In the end, you should not look at data mining as a separate, standalone entity because pre-processing (data preparation, data exploration) and post-processing (model validation, scoring, model performance monitoring) are equally essential. Prescriptive modelling looks at internal and external variables and constraints to recommend one or more courses of action – for example, determining the best marketing offer to send to each customer. Sample techniques include: Predictive analytics plus rules Developing if/then rules from patterns and predicting outcomes. Marketing optimization Simulating the most advantageous media mix in real time for the highest possible ROI. CryptoCompare needs javascript enabled in order to work. Follow these instructions to activate and enable JavaScript in Chrome. PC • To the right of the address bar, click the icon with 3 stacked horizontal lines. • From the drop-down menu, select Settings. • At the bottom of the page, click the Show advanced settings link. • Under the Privacy section, click the Content settings button. • Under the JavaScript heading, select the Allow all sites to run JavaScript radio button. • Finally, refresh your browser. MAC • Select Chrome from the Apple/System bar at the top of the screen. • Select Preferences. CoinWarz Zcash mining calculator. Enter your mining rig's hash rate and the CoinWarz Zcash calculator will use the current. Bitcoin Mining Calculator. Bitcoin Calculator. Demand for Zcash Mining Grows as Blockchain Launch Approaches. Those interested in mining Zcash should note that the reward follows a. From the drop-down menu. • In the left-hand column, select Settings from the list. • At the bottom of the page, click the Show advanced settings link. • Under the Privacy section, click the Content settings button. • Under the JavaScript heading, select the Allow all sites to run JavaScript radio button. • Finally, refresh your browser. Mining VS Buying Bitcoins. Now I’ll head up to my Bitcoin mining calculator. Also there’s no way to know how high or low will the Bitcoin mining difficulty. Calculate synonym mining contract cloud the successful This approach ultimately allows for well-designed dynonym projects because individuals are less mining cloud contract. Bitcoin mining pools also have a pool-specific share difficulty setting a lower limit for shares. Zcash mining contracts are also available. Offers litecoin mining contract requirements some time understand Bitcoin, how works, how. Code price usb miner bitcoin l butterfly Light Cyber founder Giora Engel told Btc mining cloud paypal that his hkw detected the attack in its customers' networks four days. Kigamuro • Simple bitcoin mining calculator • 2017-12-11. Crypto Mining Blog. Starting with Genesis Mining who have once more upgraded the Zcash cloud mining hashrate for. Much higher mining difficulty or significant. Cloud mining; Mining calculator; Buy and Sell; What is. 1 Zcash = 527.42 USD. Hashrate: Sol/s × New cloud mining contracts! Genesis Mining's Zcash contracts are. Zcash (ZEC), the new digital currency lauded for its privacy features, is launching today amidst some massive hype. But until enough tokens become available on exchanges, Zcash enthusiasts are poised to acquire their ZEC first-hand by mining for it, either by setting up a home rig or by signing up for a cloud mining contract. Created from a fork of Bitcoin's codebase, Zcash promises all the best features and stability of Bitcoin with the added bonus of total payment confidentiality. Zcash transactions can be shielded to hide the sender, recipient and value of all transactions on the blockchain. Only those with the correct view key can see the contents. Another interesting aspect of Zcash is it uses a memory-hard proof-of-work known as. This means the best hardware for mining Zcash tokens is standard GPUs and RAM. The hope is this will lead to a more decentralized set of miners. 'We think it is unlikely that anyone will be able to build cost-effective custom hardware (ASICs) for mining in the foreseeable future,' Zcash CEO and founder, Zooko Wilcox, and software engineer, Jack Grigg, wrote in a. Since Zcash did not hold an initial crowdfund, every Zcash token issued will be as a result of mining. And it's likely that mining, especially in the early days, will be cheaper than purchasing Zcash on an exchange. Mining for ZEC There are two ways to mine Zcash: you can build your own GPU rig - arguably, with good mining software, you can use a CPU as well, but more on that later - or you can mine Zcash in the cloud. Building your own GPU is not easy. When you buy an ASIC for mining bitcoin, you simply connect it to the internet and plug in the power. But GPU mining is a custom setup, where you need to source motherboards and graphic cards. Because of the work involved, cloud mining make might make sense for some people, though it carries more associated risk. To that end, several cloud GPU providers are open for Zcash business. Is offering a limited number of one-year contracts. Is offering Zcash cloud mining on three, six and 12 month contracts. If you are setting up your own CPU or GPU rigs, you will need to find an efficient mining software. Zcash recently held an, and made available to the public. Slow Start and the Founders Reward Mining will begin with a 'slow start,' which limits the block rewards for the first 20,000 blocks (roughly 34 days). During that time, the block reward will gradually increase from 0 ZEC to 12.5 ZEC. Typically, when a coin first launches, mining difficulty is at its lowest and rises over a few days or weeks. A slow start discourage the big outfits from dedicating all their resources to mining in the beginning. 'With the 'slow start' approach, we can pull the trigger to start mining, knowing that we still have a few weeks before it gets to be significantly valuable, giving us time to watch for failures, work on related operational things (updating our web site, dealing with getting hacked and defaced and all that, collaborating with wallet makers, exchange operators, and other partners, touring the world to visit stadiums of screaming fans, etc.),' Wilcox back in March. But, in the case of Zcash, where there is so much buzz around the coin, major players may jump into the game right away, and the difficulty will soar beyond the reach of the average CPU within hours or days. TY13R (as he is known on the Zcash Slack channel), who has worked on the Zcash GPU miner, told Bitcoin Magazine: 'When they publish the first block, a huge a amount of hashing power will move over to it. There could be hundreds of blocks mined on the first day.' Like Bitcoin, the plan is to only produce 21M tokens with a halving every four years, where the reward is halved to control inflation. However, unlike Bitcoin, for the first four years, a full 20 percent of the Zcash mining reward will go to stakeholders in the Zcash Company. This is known as the '.' Exchanges and Wallets If you're not up for mining, another option is to simply buy Zcash tokens. Coins will be sparse until there is enough in the supply system. But, said TY13R, 'If there is money to be made, people will sell. It all depends on whether the miners are willing to give up their ZEC.' Several exchanges - including Poloniex, Bittrex, HitBTC, and Kraken - have already announced support for Zcash. Shapeshift has also said that its platform will support ZEC as soon as liquidity allows. Erik Voorhees, CEO of ShapeShift, said to Bitcoin Magazine: 'Just as we should expect privacy in our emails, telephone calls and personal relationships, so too is privacy warranted in financial transactions. In our age of surveillance, the individual deserves every tool of empowerment, and Zcash has the potential to uphold this principle.' Along with Trezor wallets by SatoshiLabs, Jaxx has revealed it will integrate Zcash a few days after the launch, making Zcash the fifth token Jaxx has added to its lineup in less than three months. 'VCs have invested in Zcash, there's cutting edge security technology behind it and that's resulted in quite a lot of chatter in the crypto community,' said Jaxx CEO Anthony Di Iorio. 'Zcash holds an extraordinary amount of promise.' The Case for Zcash As of this writing, is hovering between 1.2 and 1.4 bitcoin ($820- $950) on BitMEX. If those numbers are any indication, Zcash could well become the second highest valued digital currency on record behind Bitcoin. Zcash represents the hope for a perfectly untraceable digital currency. Although, at this point, Bitcoin transactions are traceable. This lack of fungibility, the idea that one bitcoin may not be as valuable as another, based on how it has been used in the past, has long been a threat to Bitcoin's livelihood. 'You need fungibility for Bitcoin to function. If you receive coins and can't spend them, then you start to doubt whether you can spend them,' Blockstream CEO Adam Back at the Scaling Bitcoin conference in Milan. The hope is that Zcash finally solves that problem, using the established cryptographic protocol, zk-Snarks. The basic idea is that when you make a transaction, you give a proof that says you have access to a certain amount of funds, but that proof gives zero knowledge to other people about what those funds are. (That is the 'zk' part). The 'SNARK' part is that Zcash can do this fairly efficiently now, especially compared to ZeroCoin, its precursor. But Wilcox's own words capture the aspirations of Zcash the best. In an with Bitcoin Magazine, he said: 'The dream is that people all around the world use Zcash and other cryptocurrencies directly, to cooperate and organize with one another in safety and privacy. This will give them freedom from corrupt regimes, banks and unstable national currencies.' Whether or not Zcash lives up to this dream, only time will tell. As it states on its website, Zcash still considers itself 'an experimental technology' and cautions, 'there is risk involved.' But for many people who wish they had jumped into Bitcoin earlier, those cautions may go unheard. |
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March 2018
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