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The Satoshi Fortune

At Whale Alert we analyze and report interesting blockchain transactions and for Bitcoin there is no subject more interesting and mysterious than the founder known by the alias Satoshi Nakamoto. We were able to make the most accurate estimate of the number of blocks mined and bitcoins owned by Satoshi: 1,125,150 bitcoin mined up to block 54,316 with an estimated total value of the unspent bitcoin of at least $10.9 billion USD in today’s market. In addition to the size of his fortune we were also able to deduce the purpose of the Patoshi miner: to defend the young network from attacks.

Central to the workings of the Bitcoin network is mining, which ensures transactions are safely executed. In order for a transaction to be processed, one of the many miners needs to bundle it in the block they have mined. The strength of the Bitcoin network is positively correlated to the number of miners: more miners means a safer network that is more reliable and more resilient to attacks. Very simply put, mining is a guessing game in which the participants simultaneously try to guess a huge number. The winner gets to mine the block and claim the block reward (50 bitcoin per block in the early days)and, in addition to the transactions, other details related to the mining process, like the nonce and extranonce values (used by the miner during the mining process), are added to the block. In 2013 Sergio Demian Lerner discovered that there was a distinct pattern visible in this extranonce value in the coinbase transaction (the transaction in which the rewarded bitcoin for mining a block is created) of each block.

Figure1 shows the extranonce values at a block heights below 20,000 with each block represented by a dot and creating a distinct saw like pattern. Lerner argued that the diagonal lines are created by miners using the publicly released standard bitcoin software: the straight lines they leave behind are the result of the miner incrementing the extranonce either during their own mining process or each time a new block is mined on the network. The distinct saw pattern is created by resetting the extranonce value to zero which happens whenever a miner is restarted. The almost vertical lines in the graph have been attributed to a miner that Lerner named Patoshi. We know for certain that Patoshi was operated by Satoshi, because its pattern emerges at the very birth of the network and it mined the block that created the bitcoins sent to Hal Finney. Lerner found additional proof for his claims in the nonces (another value used in the mining process that is also stored in each block, but is different from the extranonce) of the blocks mined by the Patoshi miner: the last byte of the nonce was always within the ranges of 0 to 9 or 19 to 58 whereas all other miners used the full range of 0 to 255. This discovery made it easier to attribute blocks to Patoshi by removing the ones with nonces outside of the range. However, attributing blocks remained difficult at the intersections of Patoshi and standard miner patterns, especially past block 20,000 after which the number of active miners increased greatly.

We suspected that the limited range of the last byte of the nonces was the result of work being divided over a number of computers or CPU cores, with each one using a different number to prevent duplication of work. With this in mind we checked if there was any variation within the range itself as a result of mining capacity being added or removed and we found that it indeed changed over time. For instance, the range [0–9][19–58] was only used during the first 18,015 blocks and was then reduced to [0–9][19–48] until block 21308 with the same happening for later block periods (ranges per block period listed in table below) (Similar findings have been described in this anonymous blog). Our research also revealed some interesting new details: between blocks 21,467 and 25,777 the range [0–9] was only used at the start of each Patoshi chain (each chain being a single run of the miner, and thus a single line in the above graph) and the number 39 was only used sporadically. Between blocks 25,811 and 54,316 the number 29 is missing entirely from some chains. These anomalies could indicate that certain computers or cores were defective or turned off during these periods. These findings allowed us to exclude even more blocks that were not mined by Satoshi and provided us with a clearer image (see figure above) which was especially valuable at higher block heights where the mining activity on the network increased drastically.

The improved attribution of Patoshi blocks allowed us to accurately determine the average mining speed for Satoshi’s miner and surprisingly we found that changes in the nonce ending range did not correlated to changes in mining speed: the average mining speed stayed incredibly constant for long periods of time. For example, for the entire range of blocks between height 2,000 and 16,000 the average number of blocks mined by Patoshi per hour was almost exactly .6 per 10 minutes, even though the number of miners varied greatly during this period. From the data it is apparent that the Patoshi miner adjusted its speed between blocks to maintain the average; when a Patoshi chain was creating more than .6 blocks/10 minutes, the block time for the following Patoshi block was on average lower and vise versa. There are two reasons why Satoshi would want to maintain this average: first, he saw 51% attacks as the biggest threat to the growing network and by maintaining a constant 60% of the processing power he could prevent these from happening while leaving enough blocks for others to mine. As more “honest” miners joined the network and a 51% attack became less likely, Satoshi was able to gradually scale down his mining activities. Second, Satoshi stated that the ideal block time was around 10 minutes and by controlling enough processing power it was possible to artificially keep the block time around this time when there was not enough or too much activity on the network. We suspect that Patoshi was comprised of at least 48 computers, with one machine for coordination and more on standby in case of an attack, which would explain the missing range of [10–18]. As soon as Satoshi deemed the network strong enough he reduced Patoshi’s blocks per 10 min target to give others a better chance at mining a block.

Knowing the changing nonce ranges allowed us to attribute more blocks to Satoshi and with higher certainty: an estimated 22,503 out of the first 54,316 blocks mined. For 50 of these blocks the coinbase transactions (or mining rewards) have been spent, one of which certainly by Satoshi in a transaction of 10 BTC to Hal Finney. 31 of the spent blocks are possible false positives, meaning they matched the Patoshi ‘fingerprint’ by chance and belong to a different miner. We are confident that 18 of the spent blocks belonged to Satoshi, making the total spent by Satoshi 907 BTC (price per BTC was less than $0.01 USD at the time of these transactions) and leaving 1,122,693 BTC unspent.

The goal of this research was not only to find out how much, but also why Satoshi was mining in this particular manner. Did Satoshi stop mining with the Patoshi miner after block 54,316? It is impossible to know whether the mining software was changed and became undetectable as a result or if Satoshi continued mining using the publicly available mining software. There are some anomalies found in higher blocks like the over-representation of nonces ending in [0–9] after block 70,000 and a strange pattern using the same ranges between block 109,500 and 112,500, but at the moment it is safe to say that the Patoshi miner was turned off in May 2010. The timing of the shutdown, the mining behavior, the systematic decrease in mining speed and the lack of spending strongly suggest that Satoshi was only interested in growing and protecting the young network. The bitcoin mined by Patoshi were possibly a mere byproduct of these efforts and it is unlikely that the remainder will ever be spent, although the question remains why Satoshi didn’t simply burn them in this case. Our findings do not exclude the possibility that Satoshi was also running a miner using the publicly released software, if only for testing purposes, and we believe it is likely that at least one of the non-Patoshi patterns belongs to Satoshi as well.

Note: according to our research the following blocks have been mined and spent by Satoshi: 9, 286, 688, 877, 1760, 2459, 2485, 3479, 5326, 9443, 9925, 10645, 14450, 15625, 15817, 19093, 23014, 28593 and 29097.

https://whale-alert.medium.com/the-satoshi-fortune-e49cf73f9a9b

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September 07, 2025
Utility, Utility, Utility

🚨Robinhood CEO - Vlad Tenev says: “It’s time to move beyond Bitcoin and meme coins into real-world assets!”

For up to date cryptocurrencies available through Robinhood:
https://robinhood.com/us/en/support/articles/coin-availability/

00:00:24
September 06, 2025
3 Companies Control 80% Of U.S. Banking👀

3 companies. 80% of U.S. banking. You need to know their names.

Watch us break it down in the latest Stronghold 101

00:03:58
September 06, 2025
We Have Been Lied To, For Far To Long!

Impossible Ancient Knowledge That DEBUNKS Our History!

Give them a follow:

Jays info:
@TheProjectUnity on X
youtube.com/c/ProjectUnity

Geoffrey Drumms info:
@TheLandOfChem on X
www.youtube.com/@thelandofchem

00:18:36
👉 Coinbase just launched an AI agent for Crypto Trading

Custom AI assistants that print money in your sleep? 🔜

The future of Crypto x AI is about to go crazy.

👉 Here’s what you need to know:

💠 'Based Agent' enables creation of custom AI agents
💠 Users set up personalized agents in < 3 minutes
💠 Equipped w/ crypto wallet and on-chain functions
💠 Capable of completing trades, swaps, and staking
💠 Integrates with Coinbase’s SDK, OpenAI, & Replit

👉 What this means for the future of Crypto:

1. Open Access: Democratized access to advanced trading
2. Automated Txns: Complex trades + streamlined on-chain activity
3. AI Dominance: Est ~80% of crypto 👉txns done by AI agents by 2025

🚨 I personally wouldn't bet against Brian Armstrong and Jesse Pollak.

👉 Coinbase just launched an AI agent for Crypto Trading
If Your NOT Staking Your Pyth, You May Be Making A BIG 🪂 Mistake.. Call It A Gut Feeling ✨️ 🔮

OIS momentum continues breaking new ground 🛡️

The Pyth community is scaling new heights in decentralized security:

  • 950M PYTH staked
  • 54M in PYTH rewards distributed

Stakers, builders, and publishers are driving the next chapter of growth.

👉 From a Military Intelligence Insider 👈

UAP Unidentified Alien Podcast: UAP EP 98

Drones?

👉 From a Military Intelligence Insider 👈
🎯 UAP/UFO'S ARE NOT OURS 🎯

https://mgln.ai/e/345/pscrb.fm/rss/p/rss.art19.com/episodes/80c602bf-38f6-4d57-be5f-b7b8f056353a.mp3

🎯 Bullseye

President Trump has announced that George Soros and his entire network will be investigated under RICO charges.

He claims Soros is behind the funding, training, and radicalization of young people, fueling terror and extremism.

https://x.com/ShadowofEzra/status/1966482501255262285

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The Great Onboarding: US Government Anchors Global Economy into Web3 via Pyth Network

For years, the crypto world speculated that the next major cycle would be driven by institutional adoption, with Wall Street finally legitimizing Bitcoin through vehicles like ETFs. While that prediction has indeed materialized, a recent development signifies a far more profound integration of Web3 into the global economic fabric, moving beyond mere financial products to the very infrastructure of data itself. The U.S. government has taken a monumental step, cementing Web3's role as a foundational layer for modern data distribution. This door, once opened, is poised to remain so indefinitely.

The U.S. Department of Commerce has officially partnered with leading blockchain oracle providers, Pyth Network and Chainlink, to distribute critical official economic data directly on-chain. This initiative marks a historic shift, bringing immutable, transparent, and auditable data from the federal government itself onto decentralized networks. This is not just a technological upgrade; it's a strategic move to enhance data accuracy, transparency, and accessibility for a global audience.

Specifically, Pyth Network has been selected to publish Gross Domestic Product (GDP) data, starting with quarterly releases going back five years, with plans to expand to a broader range of economic datasets. Chainlink, the other key partner, will provide data feeds from the Bureau of Economic Analysis (BEA), including Real Gross Domestic Product (GDP) and the Personal Consumption Expenditures (PCE) Price Index. This crucial economic information will be made available across a multitude of blockchain networks, including major ecosystems like Ethereum, Avalanche, Base, Bitcoin, Solana, Tron, Stellar, Arbitrum One, Polygon PoS, and Optimism.

This development is closer to science fiction than traditional finance. The same oracle network, Pyth, that secures data for over 350 decentralized applications (dApps) across more than 50 blockchains, processing over $2.5 trillion in total trading volume through its oracles, is now the system of record for the United States' core economic indicators. Pyth's extensive infrastructure, spanning over 107 blockchains and supporting more than 600 applications, positions it as a trusted source for on-chain data. This is not about speculative assets; it's about leveraging proven, robust technology for critical public services.

The significance of this collaboration cannot be overstated. By bringing official statistics on-chain, the U.S. government is embracing cryptographic verifiability and immutable publication, setting a new precedent for how governments interact with decentralized technology. This initiative aligns with broader transparency goals and is supported by Secretary of Commerce Howard Lutnick, positioning the U.S. as a world leader in finance and blockchain innovation. The decision by a federal entity to trust decentralized oracles with sensitive economic data underscores the growing institutional confidence in these networks.

This is the cycle of the great onboarding. The distinction between "Web2" and "Web3" is rapidly becoming obsolete. When government data, institutional flows, and grassroots builders all operate on the same decentralized rails, we are simply talking about the internet—a new iteration, yes, but the internet nonetheless: an immutable internet where data is not only published but also verified and distributed in real-time.

Pyth Network stands as tangible proof that this technology serves a vital purpose. It demonstrates that the industry has moved beyond abstract "crypto tech" to offering solutions that address real-world needs and are now actively sought after and understood by traditional entities. Most importantly, it proves that Web3 is no longer seeking permission; it has received the highest validation a system can receive—the trust of governments and markets alike.

This is not merely a fleeting trend; it's a crowning moment in global adoption. The U.S. government has just validated what many in the Web3 space have been building towards for years: that Web3 is not a sideshow, but a foundational layer for the future. The current cycle will be remembered as the moment the world definitively crossed this threshold, marking the last great opportunity to truly say, "we were early."

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US Dept of Commerce to publish GDP data on blockchain

On Tuesday during a televised White House cabinet meeting, Commerce Secretary Howard Lutnick announced the intention to publish GDP statistics on blockchains. Today Chainlink and Pyth said they were selected as the decentralized oracles to distribute the data.

Lutnick said, “The Department of Commerce is going to start issuing its statistics on the blockchain because you are the crypto President. And we are going to put out GDP on the blockchain, so people can use the blockchain for data distribution. And then we’re going to make that available to the entire government. So, all of you can do it. We’re just ironing out all the details.”

The data includes Real GDP and the PCE Price Index, which reflects changes in the prices of domestic consumer goods and services. The statistics are released monthly and quarterly. The biggest initial use will likely be by on-chain prediction markets. But as more data comes online, such as broader inflation data or interest rates from the Federal Reserve, it could be used to automate various financial instruments. Apart from using the data in smart contracts, sources of tamperproof data 👉will become increasingly important for generative AI.

While it would be possible to procure the data from third parties, it is always ideal to get it from the source to ensure its accuracy. Getting data directly from government sources makes it tamperproof, provided the original data feed has not been manipulated before it reaches the oracle.

Source

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List Of Cardano Wallets

Well-known and actively maintained wallets supporting the Cardano Blockchain are EternlTyphonVesprYoroiLaceADAliteNuFiDaedalusGeroLodeWalletCoin WalletADAWalletAtomicGem WalletTrust and Exodus.

Note that in case of issues, usually only queries relating to official wallets can be answered in Cardano groups across telegram/forum. You may need to consult with specific wallet support teams for third party wallets.

Tips

  • Its is important to ensure that you're in sole control of your wallet keys, and that the keys used can be restored via alternate wallet providers if a particular one is non-functional. Hence, put extra attention to Non-Custodial and Compatibility fields.
  • The score column below is strictly a count of checks against each feature listed, the impact of specific feature (and thus, score) is up to reader's descretion.
  • The table represents current state on mainnet network, any future roadmap activities are out-of-scope.
  • Info on individual fields can be found towards the end of the page.
  • Any field that shows partial support (eg: open-source field) does not score the point for that field.

Brief info on fields above

  • Non-Custodial: are wallets where payment as well as stake keys are not shared/reused by wallet provider, and funds can be transparently verified on explorer
  • Compatibility: If the wallet mnemonics/keys can easily (for non-technical user) be used outside of specific wallet provider in major other wallets
  • Stake Control: Freedom to elect stake pool for user to delegate to (in user-friendly way)
  • Transparent Support: Easy approachability of a public interactive - eg: discord/telegram - group (with non-anonymous users) who can help out with support. Twitter/Email supports do not count for a check
  • Voting: Ability to participate in Catalyst voting process
  • Hardware Wallet: Integration with atleast Ledger Nano device
  • Native Assets: Ability to view native assets that belong to wallet
  • dApp Integration: Ability to interact with dApps
  • Stability: represents whether there have been large number of users reporting missing tokens/balance due to wallet backend being out of sync
  • Testnets Support: Ability to easily (for end-user) open wallets in atleast one of the cardano testnet networks
  • Custom Backend Support: Ability to elect a custom backend URL for selecting alternate way to submit transactions transactions created on client machines
  • Single/Multi Address Mode: Ability to use/import Single as well as Multiple Address modes for a wallet
  • Mobile App: Availability on atleast one of the popular mobile platforms
  • Desktop (app,extension,web): Ways to open wallet app on desktop PCs
  • Open Source: Whether the complete wallet (all components) are open source and can be run independently.

Source

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💳 PayPal: 
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XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX
XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

 

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