The Art of Speculation: When Coin Launches Become a Mind-Reading Game Centered on Leaders' Social Dynamics

比推Pubblicato 2026-01-08Pubblicato ultima volta 2026-01-08

Introduzione

The article "The Art of Reading Between the Lines: When Coin Listings Become a Game of Guessing Leaders' Social Cues" critiques the culture of speculation and sycophancy in the cryptocurrency space, particularly around Binance’s listing process. It draws a parallel to a Shandong dining custom where the fish head is pointed toward the guest of honor as a sign of respect—a tacit social rule that requires intuition rather than explicit instruction. The piece centers on a recent event where He Yi, Binance’s co-founder, posted a cryptic New Year’s tweet saying “我踏马来了” (roughly: “Here the f*ck I come”). Shortly after, a community-created meme token with the same name was listed on Binance Alpha, despite He Yi’s earlier statements against favoritism and “insider coins.” The author argues that this reflects a deeper cultural issue: the shift from merit-based innovation to a system where success depends on interpreting the subtle hints of influential figures. Unlike traditional industries where technical skill or product quality drive progress, the crypto industry often prioritizes access to information, relationships, and the ability to please key decision-makers. The piece suggests that this “Shandong mindset”—where insiders learn to “read the room” rather than challenge or create—undermines transparency and rewards those who excel at flattery rather than genuine contribution. While He Yi may not have directly endorsed the token, the very fact that her social media activity can t...

Author: Kuli, Shenchao TechFlow

Original Title: Where the Fish Head Faces He Yi: Crypto Has Its Shandong-Style Politics Too


There's a rule at Shandong banquets: when the fish is served, the head must face the seat of honor.

Whoever it faces is the main guest and must drink first. This isn't written down anywhere, but everyone in Shandong knows it. No one teaches you; you just learn it.

Recently, someone drew a picture called "Crypto Shandong-Style Politics." A group of people sit around a table eating fish, with He Yi in the seat of honor, flanked by KOLs, the listing team, and social media editors.

Caption: For a Binance listing, the fish head must face He Yi.

On January 1st, He Yi posted a New Year's tweet. Riding a white horse by the seaside, caption in four characters:

我踏马来了 (Wǒ tà mǎ lái le - I've f*cking arrived).

A fine New Year's greeting. "Tà mǎ" (踏马), the Year of the Horse, with a bit of playful homophonic wordplay.

Today, Binance Alpha listed a new token called "我踏马来了" (I've F*cking Arrived). It was community-made, with no direct connection to He Yi.

But look at this chain: First Sister tweets, the community creates a token, Alpha lists it.

No one needs to give any orders in the middle.

Last year, Binance was hounded by accusations of "BFF coins," alleging shady listing practices and利益输送 (interest conveyance/corruption). He Yi responded several times, saying they were reflecting, adjusting, and even created Alpha as a screening pool.

In December, she also tweeted saying, don't try to find angles in our official tweets about various Memes; we won't pay attention to this kind of thing anymore.

28 days later, her New Year's tweet became a new token on Alpha.

What was the problem with BFF coins? It was about backdoor deals, favoritism,利益输送 (interest conveyance/corruption).

These require evidence, a paper trail, a specific "BFF."

But "I've F*cking Arrived" doesn't need any of that.

No backdoor, no favoritism, no利益输送. First Sister posted a picture, and the people below just started moving on their own.

This perhaps touches on the essence of Shandong-style politics: the leader doesn't need to speak; you have to figure it out yourself.

Someone in the community commented that Alpha is now just a tool for currying favor, its purpose is to make First Sister happy.

Crude wording, but it describes a certain atmosphere.

When a platform's direction starts revolving around someone's social media activity, when "which coin to list" becomes "guess what she likes," rules cease to matter.

What matters is揣摩 (speculation/reading intentions).

Some put it more harshly: If you want to know if an industry has a future, ask one question—In this industry, do people who are good at flattery succeed more easily than people who are good at doing the work?

If the answer is "yes," then this industry is on the decline.

In crypto, this trick really works. And the most successful ones, everyone knows which direction the flattery should be aimed.

The core resources in the AI circle are technology and products; you have to deliver. Jensen Huang won't allocate you GPUs just because you call him daddy every day.

The core resources in the crypto circle are listing power, traffic, and who knows the news first. These things aren't in the code; they're in people's hands.

Things in people's hands must be obtained through human methods.

The more Shandong-style politics prevails, the more it relies on connections and information asymmetry, not innovation and technology.

He Yi might not even know about this. A small MEME worth a few million market cap isn't enough to bother the Co-CEO.

But that's precisely the problem.

She doesn't need to know. The fish head will turn by itself.

This is really much more efficient than BFF coins.

BFF coins at least required a BFF. Shandong-style politics only requires an atmosphere.

And those who see through this set of rules and implement them thoroughly are, in a way, also talented.

After all, in this society, people laugh at the poor, not the prostitute. (笑贫不笑娼 - A saying criticizing societal values that scorn poverty but overlook the means of acquiring wealth).


Twitter:https://twitter.com/BitpushNewsCN

BitPush TG Discussion Group:https://t.me/BitPushCommunity

BitPush TG Channel: https://t.me/bitpush

Original link:https://www.bitpush.news/articles/7601064

Domande pertinenti

QWhat is the core argument of the article 'The Art of Speculation: When Coin Listings Become a Mind-Reading Game Around a Leader's Social Media'?

AThe article argues that in the crypto space, especially around Binance, the process of token listings has shifted from being based on innovation and technology to a culture of揣摩 (speculation/guessing) where community members and projects try to interpret the social media posts of leaders like He Yi to gain favor, rather than relying on formal rules or merit.

QWhat is 'Shandong Study' (山东学) as described in the article, and how does it relate to Binance's token listing process?

A'Shandong Study' is a metaphor derived from a Shandong dining custom where the fish head is pointed towards the guest of honor. In the context of Binance, it symbolizes a culture where participants automatically align their actions (like creating and listing tokens) to please or anticipate the preferences of leader He Yi, without any explicit instruction, mimicking the unspoken rule of the dining tradition.

QHow does the article contrast the 'Shandong Study' phenomenon with the previous '闺蜜币' (close-friend coin) controversy at Binance?

AThe '闺蜜币' controversy involved allegations of explicit favoritism, backdoor deals, and利益输送 (benefit transfer) through personal connections. In contrast, the 'Shandong Study' phenomenon requires no direct orders or concrete relationships; it operates through an implicit atmosphere where community members spontaneously act to please the leader based on social media cues, making it more efficient and less traceable than the 'close-friend coin' issue.

QAccording to the article, what does the success of the meme token '我踏马来了' (I'm Coming on Horseback) demonstrate about the current state of the crypto industry?

AThe success of '我踏马来了'—a token created and listed on Binance Alpha simply because it was inspired by He Yi's tweet—demonstrates that in the crypto industry, success can be driven by揣摩 (speculating on) and catering to the preferences of influential leaders rather than technological innovation or product merit, indicating a reliance on人际关系 (relationships) and information asymmetry.

QWhat critical question does the article suggest asking to determine if an industry has a future, and what is the implied answer for the crypto space based on the examples given?

AThe article suggests asking: 'In this industry, do people who are good at flattery succeed more easily than those who are good at doing actual work?' The implied answer for the crypto space is 'yes,' as the examples show that tokens gaining traction through揣摩 (speculation) and alignment with leaders' social media are successful, suggesting the industry may be declining if this culture persists.

Letture associate

When Doing Cryptocurrency Payment, the First Thing is Licenses, What is the Second?

When launching a crypto payment business, obtaining the necessary licenses is the crucial first step. However, the second, and arguably more critical, step is designing a comprehensive operational framework that forms a coherent business loop. This loop must be clearly understood and executable by all stakeholders: banks, payment partners, exchanges, on-chain analytics providers, regulators, and your internal team. Many projects mistakenly believe a single license permits all operations. Licenses merely grant entry; they don't define how the specific business functions. The real challenge lies in detailing every aspect of the workflow. This involves clarifying the customer base, the flow of fiat and crypto assets, the settlement process, and establishing clear lines of responsibility for risks like AML compliance, sanctions screening, chargebacks, and regulatory inquiries. A robust framework must answer seven core questions: Who are the clients and merchants? Who collects fiat and crypto? Who handles conversion and custody? And who is ultimately accountable for compliance and risk management? Projects often fail not from a lack of licensing, but during due diligence when they cannot convincingly explain these operational details. Therefore, beyond securing licenses, the priority must be constructing a closed-loop system. This system ensures the business model is transparent, risks are managed, responsibilities are delineated, contracts are aligned, and the entire process is comprehensible to partners and regulators. The true competitive edge in crypto payments lies not in acquiring a license quickly, but in integrating licensing, banking, compliance, and operations into a sustainable and executable whole.

marsbit22 min fa

When Doing Cryptocurrency Payment, the First Thing is Licenses, What is the Second?

marsbit22 min fa

Arthur Hayes Analysis: AI Bubble Nears Burst, Crypto Market Faces Short-Term Pressure

Arthur Hayes argues that the current AI market is a bubble poised to burst, which will exert downward pressure on the crypto market in the near term. The core trigger is rising oil prices due to the US-Iran conflict and a blockade of the Strait of Hormuz. Higher energy costs directly increase the operational expenses of AI data centers, squeezing profit margins for companies like Google, Anthropic, and OpenAI. Hayes predicts that persistent inflation from high oil prices will force Trump, in a bid to win the November election, to turn public sentiment against the AI industry. He may propose regulations and taxes on data centers and AI companies to appeal to voters concerned about costs and job displacement. Such political rhetoric could shatter market confidence. Furthermore, the market is unlikely to healthily absorb the massive concurrent IPOs of SpaceX, Anthropic, and OpenAI, which together seek valuations in the trillions. The combination of soaring energy costs, overwhelming equity supply, and negative political pressure will puncture the AI bubble. Hayes notes that nearly all new USD liquidity since 2022 has flowed into AI, leaving crypto like Bitcoin behind. When the AI bubble bursts, liquidity will contract sharply, pulling down all risk assets, including cryptocurrencies. In response, Hayes's fund, Maelstrom, has sold all AI-related stocks and non-core cryptocurrencies. It maintains core positions in Bitcoin and Ethereum while increasing exposure to energy sector equities, betting on rising oil and gas prices. He expects Bitcoin to bottom after the AI-led market decline, before rallying again with future monetary easing.

Foresight News36 min fa

Arthur Hayes Analysis: AI Bubble Nears Burst, Crypto Market Faces Short-Term Pressure

Foresight News36 min fa

To C, To B, and the Next Big Thing Called To A

After To C and To B, the Next Wave is To A: Serving AI Agents In a recent quarterly earnings call, Meituan's Wang Xing introduced a new concept: To A (To Agent), signifying that future business services will increasingly target AI Agents as primary clients, not just consumers or merchants. This shift implies that internet giants must now consider how to make their services more appealing for AI Agents to recommend, fundamentally altering traditional distribution logic. This "To A era" is prompting an unusual trend of alliances among major tech companies. Unlike previous competitive battles, firms like Meituan, Tencent, JD.com, Huawei, OPPO, and OpenAI are rapidly forming partnerships. The reason is strategic: as AI Agents become the primary user interface, handling tasks from a single command (e.g., "Book a Japanese restaurant for tomorrow"), the risk for platforms is being bypassed entirely. Companies are positioning themselves within this new value chain. Three primary strategies are emerging: 1. **Super-Entry Points + Service Providers:** Platforms like Tencent's Yuanbao, WeChat, and ChatGPT aim to be the first-stop Agent, integrating various services (food delivery, shopping, travel) from partners like Meituan and JD.com. 2. **Apps as Callable Services:** Companies like Meituan, JD.com, and Uber are ensuring their core services remain accessible and callable by external Agents, shifting from front-end apps to back-end capabilities. 3. **System-Level Agent Entry Points:** Smartphone makers (Huawei, Honor, OPPO) are leveraging their OS-level AI assistants to control the initial user command, redistributing it to relevant service apps. While alliances offer mutual benefit—entry points gain service capabilities, and service providers gain traffic—inherent conflicts of interest exist. A dominant Agent platform could eventually attempt to connect directly with suppliers (restaurants, hotels), bypassing current aggregators like Meituan or Ctrip. Other unresolved challenges include the potential for Agent recommendations to become a new form of paid ranking and unclear accountability for faulty recommendations. The current rush to form alliances is a defensive move by service providers to secure their position before the landscape solidifies. In this To A-driven restructuring, the greatest risk is not losing the race but failing to hear the starting gun.

marsbit45 min fa

To C, To B, and the Next Big Thing Called To A

marsbit45 min fa

The More Lifelike the Robot, the More Terrifying? Unveiling the 'Uncanny Valley Effect' in the Era of Humanoid Robots

As humanoid robots become increasingly lifelike, they confront a significant psychological barrier known as the "Uncanny Valley Effect," a concept proposed by Japanese roboticist Masahiro Mori in 1970. This phenomenon describes a dip in human comfort and acceptance when robots appear almost, but not perfectly, human. Minor imperfections in facial expressions, eye movements, or skin texture trigger a subconscious sense of unease, as the brain detects something trying, yet failing, to mimic a person. Examples range from the controversial human-like robot Sophia to animated characters in films like *The Polar Express*. The effect poses a key design challenge for robotics companies. Some, like Boston Dynamics, avoid it entirely by creating highly capable but visibly mechanical robots. Others, like Hanson Robotics, push for greater human likeness despite the risk. For consumer robots, especially in homes, most manufacturers opt for stylized or clearly mechanical designs to ensure broader acceptance. While the Uncanny Valley remains a powerful force, its impact may diminish over time through technological advancements that achieve near-perfect realism or through generational familiarity as people grow accustomed to interacting with humanoid machines. Ultimately, navigating this psychological frontier requires as much understanding of human perception as of robotics technology itself.

marsbit46 min fa

The More Lifelike the Robot, the More Terrifying? Unveiling the 'Uncanny Valley Effect' in the Era of Humanoid Robots

marsbit46 min fa

Trading

Spot
Futures
活动图片