Bitcoin Gold: Two 51% Attacks Trigger 98% Price Collapse
The cryptocurrency was created to prevent mining from being controlled by a few, yet it has been attacked twice by exactly that. Bitcoin Gold, the Bitcoin fork promising to return mining to graphics cards, has fallen 98% from its peak and suffered a cumulative $70,000 double-spend in its latest assault. The paradox is clear: a small network is easy to mine and, consequently, cheap to attack.
What Is Bitcoin Gold and Why Did It Fork?
Bitcoin Gold emerged as a fork of the original Bitcoin blockchain. Its defining antiestéticature is the proof-of-work algorithm: a variant of Equihash that, in principle, cannot be mined by specialized hardware—ASICs—and requires general-purpose computing. In practice, this means mining demands powerful GPUs or data centers, not industrial farms designed for a single algorithm.
The stated goal was to combat excessive centralization in Bitcoin. If hash power is distributed among thousands of home miners across many countries, the network becomes harder to hijack. The idea sells BTG as preserving Satoshi’s original spirit: a currency sustained by a community, not an industry.
The First 51% Attack and Exchange Conflicts
Major cracks appeared quickly. The project fell victim to a 51% attack involving multiple double-spends on several exchanges. This episode revealed a structural issue: with low hash power, an organized attacker can impose their version of the chain.
The damage affected major exchanges. One leading platform blamed the developers and tried to make them absorb part of the losses. When they refused, it delisted the coin. The dispute left an uncomfortable lesson: those who choose to trade an asset with questionable security also sign up to pay their share of the bill.
Is ASIC Resistance Real?
The honest answer is no, not permanently. Bitmain developed a specific ASIC for Equihash to capitalize on Zcash’s profitability. With that machine on the market, Zcash ceased to be ASIC-resistant. By extension, Bitcoin Gold became exposed.
A common technical nuance: no algorithm is impossible to implement in hardware. What exists is a community capable of releasing new variants as dedicated machines appear, requiring far less effort than the manufacturer. It is a race, not a state. And when a coin becomes profitable enough, someone builds the machine specifically for it.
Some argue the problem isn’t the algorithm but size: the smaller the network, the cheaper a 51% attack becomes, making attacking more profitable than defending. This warning proved true. In the second assault, attackers allegedly stole around $70,000 via double-spending.
Geographic Decentralization and the China Factor
The second front is geographic. Critics argue that ASIC mining will end up under the control of the Asian giant, which funds local pools with low electricity costs and holds the power to manipulate the chain at will.
Counter-arguments suggest that if China halts machine production, another country takes over; if a pool closes, miners switch to another. As long as a more profitable territory exists, computing power will migrate. Ultimately, the debate remains: does it matter where the machines are, or who owns them?
Price, Volume, and the Dead Cat Bounce
The market has rendered its own verdict. The price dropped 98% from highs, and trading volume has dwindled to levels seen in minor projects. Some defend that it was initially overvalued and the current price is more rational; others recall that a dead cat bounces up to seven times before settling.
Even the attacks don’t move the price as expected. After one was announced, the token rose 18% in just days. The most common reaction was a shrug.
What remains is a project with a community, several developers, and a wavering promise. The fundamental question goes unanswered: what use is a coin marketed as secure and decentralized if its network is small enough to have its chain overturned every few years?
Summary of a discussion on Burbuja.info - Foro de economía, actualidad y política., translated from Spanish and reviewed before publication.
Read the full discussion (179 replies).
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