Original Title: Looking at Crypto Twitter, the Profit Effect Is Gone
Welcome to the “Post-Crypto Twitter” Era
Here, “Crypto Twitter” (CT) refers to Crypto Twitter as a market discovery and capital allocation engine, not the entire crypto community on Twitter.
“Post-CT” does not mean discussions have disappeared, but indicates that Crypto Twitter, as a “coordination mechanism through discourse,” is gradually losing its ability to repeatedly generate major market events.
If a single culture can no longer produce enough significant winners, it cannot continue to attract the next wave of new participants.
The “major market events” mentioned here are not about “a token’s price tripling,” but about most liquidity market participants focusing their attention on the same thing. In this framework, Crypto Twitter used to be a mechanism that transformed public narratives into coordinated flows around a dominant meta-narrative. The significance of the “Post-CT” era is that this transformation mechanism no longer functions reliably.
I am not trying to predict what will happen next. Frankly, I don’t have a clear answer either. The main point of this article is to explain why the previous model worked, why it is declining, and what this means for how the crypto industry reorganizes itself.
Why Did Crypto Twitter Work Before?
Crypto Twitter (CT) is important because it compresses three market functions into one interface.
The first function of Crypto Twitter is narrative discovery. CT is a high-bandwidth salience mechanism. “Salience” is not just an academic term meaning “interesting,” but a market term referring to how the graph converges on what is worth paying attention to now.
In practice, Crypto Twitter creates focal points. It compresses a vast hypothesis space into a small set of “currently actionable” objects. This compression solves a coordination problem.
More mechanically: Crypto Twitter transforms dispersed, private attention into visible, public common knowledge. If you see ten credible traders discussing the same object, you not only know it exists but also know that others know it exists, and that they know you know. In liquidity markets, this common knowledge is crucial.
As Herbert A. Simon said:
“An abundance of information leads to a scarcity of attention.”
The second function of Crypto Twitter is acting as a trust router. In crypto markets, most assets do not have strong intrinsic value anchors in the short term. Therefore, capital cannot be allocated solely based on fundamentals but flows through people, reputation, and ongoing signals. “Trust routing” is an informal infrastructure that determines whose claims can be believed early enough to influence.
This is not mystical; it is a rough reputation function continuously calculated by thousands of participants in public. People infer who are early entrants, who have good prior judgment, resource channels, and whose behavior correlates with positive EV. This reputation layer makes capital allocation possible without formal due diligence, serving as a simplified tool for selecting trading counterparts.
It’s worth noting that the trust mechanism in Crypto Twitter does not depend solely on “follower count.” It is a combined result of follower count, who is following you, the quality of replies, interactions with credible people, and whether your predictions withstand real-world validation. Crypto Twitter makes these signals easy to observe at very low cost.
Crypto Twitter embodies public trust, and over time, some communities have also developed a tendency toward more private trust.
The third function is transforming narrative into capital allocation through reflexivity. Reflexivity is the key to this core cycle: narratives drive prices, prices validate narratives, validation attracts more attention, attention brings more buyers, and this cycle reinforces itself until it collapses.
At this point, the market’s microstructure comes into play. Narratives do not abstractly drive the “market,” but rather the order flow. If a large group is convinced by a narrative that a certain object is “key,” marginal participants will express this belief through purchases.
When this cycle is strong enough, the market temporarily favors actions aligned with consensus over deep analysis. Looking back, Crypto Twitter is almost like a “low-IQ Bloomberg terminal”: a single stream of information that integrates salience, trust, and capital distribution.
Why Did a “Single Culture” Era Become Possible?
The “single culture” era exists because it has a repeatable structure. Each cycle revolves around objects simple enough for large groups to understand, yet broad enough to attract most of the ecosystem’s attention and liquidity. I like to call these objects “toys.”
“Toy” here is not pejorative but a structural description. Think of it as a game—easy to explain, easy to participate in, and inherently social (almost like an expansion pack for a large multiplayer online role-playing game). A “toy” has low participation barriers and high narrative compression—you can explain it to friends in one sentence.
“Meta” is the manifestation when “toys” become shared game boards. Meta refers to the dominant set of strategies and the main objects around which most participants revolve. The power of the “single culture” lies in the fact that this meta is not just “popular,” but a shared game across users, developers, traders, and VCs. Everyone is playing the same game, just at different levels of the stack.
@icobeast wrote an excellent article on the cyclical and transformative nature of “trend things,” which I highly recommend.
https://x.com/icobeast/status/1993721136325005596
The market system we are experiencing requires a “non-efficiency window” that allows people to quickly earn “incredible wealth.”
In early stages of each cycle, the market is not fully efficient because the infrastructure for large-scale participation in the meta narrative is not yet complete. Opportunities exist but do not yet fill the niche space of the market. This is crucial because broad wealth accumulation needs a window for many participants to enter, rather than facing a fully hostile environment from the start.
As George Akerlof said in “The Market for Lemons”:
“Information asymmetry between buyers and sellers can lead to market inefficiency.”
The key is that, for this system to work, you need to provide a highly efficient market for some, while for others, it remains a typical “lemon market” with information asymmetry and low efficiency.
A single culture system also requires a large shared context, which Crypto Twitter (CT) provides. Shared context is rare online because attention is usually dispersed. But when a single culture forms, attention concentrates. This concentration reduces coordination costs and amplifies reflexivity.
As F. A. Hayek stated in “The Use of Knowledge in Society”:
“The dispersed bits of incomplete and frequently contradictory knowledge which all the individual participants possess constitute the only source of information from which the social order can be constructed.”
In other words, the formation of shared context allows market participants to coordinate more efficiently, fostering the prosperity and development of a single culture.
Why was the “meta-narrative” so credible in the past? When fundamental constraints on the market were weak, salience became a more important constraint than valuation. The primary question was not “How much is it worth?” but “What are we all paying attention to? Has this trade become too crowded?”
A rough analogy is that mass culture once focused attention on a few shared objects (like the same TV shows, top charts, or celebrities). Today, attention is dispersed across niche fields and subcultures, and people no longer share the same reference set at scale. Similarly, Crypto Twitter (CT) as a mechanism is also undergoing a similar shift: top-level shared context diminishes, while more localized contexts emerge in smaller circles.
Why Is the “Post-Crypto Twitter” Era Coming?
The emergence of “Post-CT” is due to the gradual breakdown of the conditions that supported the “single culture.”
The first failure is that “toys” are cracked faster.
In previous cycles, the market learned the game rules and industrialized them. Once rules are industrialized, the non-efficiency window closes faster, and the duration shortens. As a result, the distribution of gains becomes more extreme: fewer winners, more structural losers.
Memecoins are a typical example of this dynamic. As an asset class, they are effective because of their low complexity and high reflexivity. But this trait also makes memecoins easy to mass-produce. Once the production line matures, meta-narratives turn into assembly lines.
As the market develops, microstructure changes. The median participant no longer trades with ordinary traders but against the system. When they enter the market, information has already been widely disseminated, liquidity pools are pre-embedded, trading paths are optimized, insiders have already positioned, and even exit routes are pre-calculated. In such an environment, the expected returns for the median participant are compressed to very low levels.
In other words, most of the time, you are just becoming someone else’s “exit liquidity.”
A useful mental model: early-cycle order flow is dominated by naive individual investors, while late-cycle order flow becomes increasingly adversarial and mechanized. The same “toy” evolves into a completely different game at different stages.
A single culture cannot last if it cannot produce enough significant winners to attract the next wave of new participants.
The second failure is that value extraction outweighs value creation.
“Extraction” here refers to actors and mechanisms that capture liquidity value rather than creating new liquidity.
In early cycles, new participants can increase net liquidity and benefit because the market expansion outpaces the value extraction. But in later stages, new entrants tend to be net contributors to the value extraction layer. When this is widely recognized, market participation declines. Reduced participation weakens the reflexivity cycle.
This explains why market sentiment shifts so consistently. If a market no longer offers broad, clear paths to victory, overall sentiment deteriorates. In a market where the median participant’s experience is “I am just someone else’s liquidity,” cynicism becomes rational.
To gauge current retail sentiment, see @Chilearmy123’s post.
The third failure is attention dispersion. When no single object can attract the entire ecosystem’s attention, the market’s “discovery layer” loses clear salience. Participants fragment into narrower fields. This dispersion is not only cultural but has significant market consequences: liquidity is spread across different segments, price signals become less transparent, and the dynamic of “everyone doing the same trade” disappears.
Additionally, a factor worth briefly mentioning is macroeconomic conditions, which influence the strength of reflexivity cycles. The “Post-CT” era coincides with periods of strong global risk appetite and liquidity, making speculative reflexivity seem like the “norm.” But as capital costs rise and marginal buyers become more cautious, narrative-driven capital flows become harder to sustain long-term.
What Does “Post-Crypto Twitter” Mean?
“Post-CT” refers to a new market environment where Crypto Twitter is no longer the primary coordination mechanism for capital distribution across the entire ecosystem, nor the core engine of on-chain markets centered around a single meta-narrative.
In the “single culture” era, Crypto Twitter repeatedly and massively linked narrative consensus with liquidity concentration. In the “Post-CT” era, this link weakens and becomes intermittent. Crypto Twitter still functions as a discovery platform and reputation indicator, but it is no longer the reliable driver that synchronizes the entire ecosystem around “one trade,” “one toy,” or “one shared context.”
In other words, Crypto Twitter can still generate narratives, but only a few narratives can be widely transformed into “common knowledge,” and even fewer “common knowledge” narratives can further translate into synchronized order flow. When this transformation mechanism fails, even if many activities still occur, the overall feeling becomes “quieter.”
This explains why subjective experience has changed. The market now feels slower and more professional because broad coordination has disappeared. The emotional shift mainly reflects reactions to the EV (expected value) conditions. The market’s “quietness” does not mean activity has ceased but that there is a lack of narratives and synchronized actions capable of triggering global resonance.
Evolution of Crypto Twitter: From Engine to Interface
Crypto Twitter (CT) will not disappear but will change function.
In early market systems, Crypto Twitter was upstream of capital flow, influencing market direction to some extent. In the current system, Crypto Twitter is more like an “interface layer”: it broadcasts reputation signals, surfaces narratives, and helps with trust routing, but actual capital allocation decisions increasingly happen within higher-trust “subgraphs.”
These subgraphs are not mysterious. They are dense networks with higher information quality and frequent interactions, such as small trader circles, niche communities, private chats, and institutional discussion spaces. In this system, Crypto Twitter is more like a superficial “front,” while real social and trading activities happen behind the scenes in social networks.
This also explains a common misconception: “Crypto Twitter is declining” often actually means “Crypto Twitter is no longer the main place for ordinary participants to make money.” Wealth now accumulates more in areas with higher information quality, restricted access, and more private trust mechanisms, rather than through open, noisy trust calculations.
Nevertheless, you can still earn substantial income by posting on Crypto Twitter and building your personal brand (some of my friends and nodes are already doing this and continue to do so). But true value accumulation comes from building your social graph, becoming a trusted participant, and gaining more access to “backstage” layers.
In other words, surface-level branding remains important, but core competitiveness has shifted toward building and participating in “backstage trust networks.”
I Don’t Know What Will Happen Next
I won’t pretend to accurately predict what the next “monoculture” will be. In fact, I am skeptical that a “single culture” will form again in the same way, at least under current market conditions. The mechanisms that once fostered “single culture” have already degraded.
My intuition may be somewhat subjective and contextual, based on what I observe now. However, these dynamics started to emerge earlier this year.
There are currently some active areas, and listing categories that attract attention is not difficult. But I won’t specify these areas, as it adds no substantive value to the discussion. Overall, aside from pre-sales and initial distributions, the trend we see now is that the most overhyped categories tend to be those “adjacent” to Crypto Twitter (CT), rather than directly driven by it.
Summary
We have entered the “Post-CT” era.
This is not because Crypto Twitter “died” nor because discussions have lost meaning, but because the structural conditions supporting the recurring “single culture” system have weakened. The game has become more efficient, value extraction mechanisms more mature, attention more dispersed, and reflexivity cycles are shifting from systemic to local.
The crypto industry continues, and Crypto Twitter still exists. My narrower view is that the era when Crypto Twitter reliably coordinated the entire market into a shared meta-narrative and created broad, low-threshold nonlinear gains has at least ended—for now. I also believe that the likelihood of this phenomenon re-emerging in the next few years is significantly reduced.
This does not mean you cannot make money, nor does it mean the crypto industry is ending. It’s neither a pessimistic nor a cynical conclusion. In fact, I am more optimistic about the future of this industry than ever before. My view is that future market distributions and salience mechanisms will be fundamentally different from those of the past few years.
View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
Scrolling through crypto Twitter endlessly, but I can no longer find the money-making effect.
Author: Lauris
Translation: Deep Tide TechFlow
Original Title: Looking at Crypto Twitter, the Profit Effect Is Gone
Welcome to the “Post-Crypto Twitter” Era
Here, “Crypto Twitter” (CT) refers to Crypto Twitter as a market discovery and capital allocation engine, not the entire crypto community on Twitter.
“Post-CT” does not mean discussions have disappeared, but indicates that Crypto Twitter, as a “coordination mechanism through discourse,” is gradually losing its ability to repeatedly generate major market events.
If a single culture can no longer produce enough significant winners, it cannot continue to attract the next wave of new participants.
The “major market events” mentioned here are not about “a token’s price tripling,” but about most liquidity market participants focusing their attention on the same thing. In this framework, Crypto Twitter used to be a mechanism that transformed public narratives into coordinated flows around a dominant meta-narrative. The significance of the “Post-CT” era is that this transformation mechanism no longer functions reliably.
I am not trying to predict what will happen next. Frankly, I don’t have a clear answer either. The main point of this article is to explain why the previous model worked, why it is declining, and what this means for how the crypto industry reorganizes itself.
Why Did Crypto Twitter Work Before?
Crypto Twitter (CT) is important because it compresses three market functions into one interface.
The first function of Crypto Twitter is narrative discovery. CT is a high-bandwidth salience mechanism. “Salience” is not just an academic term meaning “interesting,” but a market term referring to how the graph converges on what is worth paying attention to now.
In practice, Crypto Twitter creates focal points. It compresses a vast hypothesis space into a small set of “currently actionable” objects. This compression solves a coordination problem.
More mechanically: Crypto Twitter transforms dispersed, private attention into visible, public common knowledge. If you see ten credible traders discussing the same object, you not only know it exists but also know that others know it exists, and that they know you know. In liquidity markets, this common knowledge is crucial.
As Herbert A. Simon said:
“An abundance of information leads to a scarcity of attention.”
The second function of Crypto Twitter is acting as a trust router. In crypto markets, most assets do not have strong intrinsic value anchors in the short term. Therefore, capital cannot be allocated solely based on fundamentals but flows through people, reputation, and ongoing signals. “Trust routing” is an informal infrastructure that determines whose claims can be believed early enough to influence.
This is not mystical; it is a rough reputation function continuously calculated by thousands of participants in public. People infer who are early entrants, who have good prior judgment, resource channels, and whose behavior correlates with positive EV. This reputation layer makes capital allocation possible without formal due diligence, serving as a simplified tool for selecting trading counterparts.
It’s worth noting that the trust mechanism in Crypto Twitter does not depend solely on “follower count.” It is a combined result of follower count, who is following you, the quality of replies, interactions with credible people, and whether your predictions withstand real-world validation. Crypto Twitter makes these signals easy to observe at very low cost.
Crypto Twitter embodies public trust, and over time, some communities have also developed a tendency toward more private trust.
The third function is transforming narrative into capital allocation through reflexivity. Reflexivity is the key to this core cycle: narratives drive prices, prices validate narratives, validation attracts more attention, attention brings more buyers, and this cycle reinforces itself until it collapses.
At this point, the market’s microstructure comes into play. Narratives do not abstractly drive the “market,” but rather the order flow. If a large group is convinced by a narrative that a certain object is “key,” marginal participants will express this belief through purchases.
When this cycle is strong enough, the market temporarily favors actions aligned with consensus over deep analysis. Looking back, Crypto Twitter is almost like a “low-IQ Bloomberg terminal”: a single stream of information that integrates salience, trust, and capital distribution.
Why Did a “Single Culture” Era Become Possible?
The “single culture” era exists because it has a repeatable structure. Each cycle revolves around objects simple enough for large groups to understand, yet broad enough to attract most of the ecosystem’s attention and liquidity. I like to call these objects “toys.”
“Toy” here is not pejorative but a structural description. Think of it as a game—easy to explain, easy to participate in, and inherently social (almost like an expansion pack for a large multiplayer online role-playing game). A “toy” has low participation barriers and high narrative compression—you can explain it to friends in one sentence.
“Meta” is the manifestation when “toys” become shared game boards. Meta refers to the dominant set of strategies and the main objects around which most participants revolve. The power of the “single culture” lies in the fact that this meta is not just “popular,” but a shared game across users, developers, traders, and VCs. Everyone is playing the same game, just at different levels of the stack.
@icobeast wrote an excellent article on the cyclical and transformative nature of “trend things,” which I highly recommend.
https://x.com/icobeast/status/1993721136325005596
The market system we are experiencing requires a “non-efficiency window” that allows people to quickly earn “incredible wealth.”
In early stages of each cycle, the market is not fully efficient because the infrastructure for large-scale participation in the meta narrative is not yet complete. Opportunities exist but do not yet fill the niche space of the market. This is crucial because broad wealth accumulation needs a window for many participants to enter, rather than facing a fully hostile environment from the start.
As George Akerlof said in “The Market for Lemons”:
“Information asymmetry between buyers and sellers can lead to market inefficiency.”
The key is that, for this system to work, you need to provide a highly efficient market for some, while for others, it remains a typical “lemon market” with information asymmetry and low efficiency.
A single culture system also requires a large shared context, which Crypto Twitter (CT) provides. Shared context is rare online because attention is usually dispersed. But when a single culture forms, attention concentrates. This concentration reduces coordination costs and amplifies reflexivity.
As F. A. Hayek stated in “The Use of Knowledge in Society”:
“The dispersed bits of incomplete and frequently contradictory knowledge which all the individual participants possess constitute the only source of information from which the social order can be constructed.”
In other words, the formation of shared context allows market participants to coordinate more efficiently, fostering the prosperity and development of a single culture.
Why was the “meta-narrative” so credible in the past? When fundamental constraints on the market were weak, salience became a more important constraint than valuation. The primary question was not “How much is it worth?” but “What are we all paying attention to? Has this trade become too crowded?”
A rough analogy is that mass culture once focused attention on a few shared objects (like the same TV shows, top charts, or celebrities). Today, attention is dispersed across niche fields and subcultures, and people no longer share the same reference set at scale. Similarly, Crypto Twitter (CT) as a mechanism is also undergoing a similar shift: top-level shared context diminishes, while more localized contexts emerge in smaller circles.
Why Is the “Post-Crypto Twitter” Era Coming?
The emergence of “Post-CT” is due to the gradual breakdown of the conditions that supported the “single culture.”
The first failure is that “toys” are cracked faster.
In previous cycles, the market learned the game rules and industrialized them. Once rules are industrialized, the non-efficiency window closes faster, and the duration shortens. As a result, the distribution of gains becomes more extreme: fewer winners, more structural losers.
Memecoins are a typical example of this dynamic. As an asset class, they are effective because of their low complexity and high reflexivity. But this trait also makes memecoins easy to mass-produce. Once the production line matures, meta-narratives turn into assembly lines.
As the market develops, microstructure changes. The median participant no longer trades with ordinary traders but against the system. When they enter the market, information has already been widely disseminated, liquidity pools are pre-embedded, trading paths are optimized, insiders have already positioned, and even exit routes are pre-calculated. In such an environment, the expected returns for the median participant are compressed to very low levels.
In other words, most of the time, you are just becoming someone else’s “exit liquidity.”
A useful mental model: early-cycle order flow is dominated by naive individual investors, while late-cycle order flow becomes increasingly adversarial and mechanized. The same “toy” evolves into a completely different game at different stages.
A single culture cannot last if it cannot produce enough significant winners to attract the next wave of new participants.
The second failure is that value extraction outweighs value creation.
“Extraction” here refers to actors and mechanisms that capture liquidity value rather than creating new liquidity.
In early cycles, new participants can increase net liquidity and benefit because the market expansion outpaces the value extraction. But in later stages, new entrants tend to be net contributors to the value extraction layer. When this is widely recognized, market participation declines. Reduced participation weakens the reflexivity cycle.
This explains why market sentiment shifts so consistently. If a market no longer offers broad, clear paths to victory, overall sentiment deteriorates. In a market where the median participant’s experience is “I am just someone else’s liquidity,” cynicism becomes rational.
To gauge current retail sentiment, see @Chilearmy123’s post.
The third failure is attention dispersion. When no single object can attract the entire ecosystem’s attention, the market’s “discovery layer” loses clear salience. Participants fragment into narrower fields. This dispersion is not only cultural but has significant market consequences: liquidity is spread across different segments, price signals become less transparent, and the dynamic of “everyone doing the same trade” disappears.
Additionally, a factor worth briefly mentioning is macroeconomic conditions, which influence the strength of reflexivity cycles. The “Post-CT” era coincides with periods of strong global risk appetite and liquidity, making speculative reflexivity seem like the “norm.” But as capital costs rise and marginal buyers become more cautious, narrative-driven capital flows become harder to sustain long-term.
What Does “Post-Crypto Twitter” Mean?
“Post-CT” refers to a new market environment where Crypto Twitter is no longer the primary coordination mechanism for capital distribution across the entire ecosystem, nor the core engine of on-chain markets centered around a single meta-narrative.
In the “single culture” era, Crypto Twitter repeatedly and massively linked narrative consensus with liquidity concentration. In the “Post-CT” era, this link weakens and becomes intermittent. Crypto Twitter still functions as a discovery platform and reputation indicator, but it is no longer the reliable driver that synchronizes the entire ecosystem around “one trade,” “one toy,” or “one shared context.”
In other words, Crypto Twitter can still generate narratives, but only a few narratives can be widely transformed into “common knowledge,” and even fewer “common knowledge” narratives can further translate into synchronized order flow. When this transformation mechanism fails, even if many activities still occur, the overall feeling becomes “quieter.”
This explains why subjective experience has changed. The market now feels slower and more professional because broad coordination has disappeared. The emotional shift mainly reflects reactions to the EV (expected value) conditions. The market’s “quietness” does not mean activity has ceased but that there is a lack of narratives and synchronized actions capable of triggering global resonance.
Evolution of Crypto Twitter: From Engine to Interface
Crypto Twitter (CT) will not disappear but will change function.
In early market systems, Crypto Twitter was upstream of capital flow, influencing market direction to some extent. In the current system, Crypto Twitter is more like an “interface layer”: it broadcasts reputation signals, surfaces narratives, and helps with trust routing, but actual capital allocation decisions increasingly happen within higher-trust “subgraphs.”
These subgraphs are not mysterious. They are dense networks with higher information quality and frequent interactions, such as small trader circles, niche communities, private chats, and institutional discussion spaces. In this system, Crypto Twitter is more like a superficial “front,” while real social and trading activities happen behind the scenes in social networks.
This also explains a common misconception: “Crypto Twitter is declining” often actually means “Crypto Twitter is no longer the main place for ordinary participants to make money.” Wealth now accumulates more in areas with higher information quality, restricted access, and more private trust mechanisms, rather than through open, noisy trust calculations.
Nevertheless, you can still earn substantial income by posting on Crypto Twitter and building your personal brand (some of my friends and nodes are already doing this and continue to do so). But true value accumulation comes from building your social graph, becoming a trusted participant, and gaining more access to “backstage” layers.
In other words, surface-level branding remains important, but core competitiveness has shifted toward building and participating in “backstage trust networks.”
I Don’t Know What Will Happen Next
I won’t pretend to accurately predict what the next “monoculture” will be. In fact, I am skeptical that a “single culture” will form again in the same way, at least under current market conditions. The mechanisms that once fostered “single culture” have already degraded.
My intuition may be somewhat subjective and contextual, based on what I observe now. However, these dynamics started to emerge earlier this year.
There are currently some active areas, and listing categories that attract attention is not difficult. But I won’t specify these areas, as it adds no substantive value to the discussion. Overall, aside from pre-sales and initial distributions, the trend we see now is that the most overhyped categories tend to be those “adjacent” to Crypto Twitter (CT), rather than directly driven by it.
Summary
We have entered the “Post-CT” era.
This is not because Crypto Twitter “died” nor because discussions have lost meaning, but because the structural conditions supporting the recurring “single culture” system have weakened. The game has become more efficient, value extraction mechanisms more mature, attention more dispersed, and reflexivity cycles are shifting from systemic to local.
The crypto industry continues, and Crypto Twitter still exists. My narrower view is that the era when Crypto Twitter reliably coordinated the entire market into a shared meta-narrative and created broad, low-threshold nonlinear gains has at least ended—for now. I also believe that the likelihood of this phenomenon re-emerging in the next few years is significantly reduced.
This does not mean you cannot make money, nor does it mean the crypto industry is ending. It’s neither a pessimistic nor a cynical conclusion. In fact, I am more optimistic about the future of this industry than ever before. My view is that future market distributions and salience mechanisms will be fundamentally different from those of the past few years.