Twitter 上的「虚假流量」是指通过操纵关注者数量、喜欢和转发等指标来人为增加一条推文的影响力和可信度。下面是一些常见的制造虚假流量的方法: 1. <b>购买关注者:</b> 一些用户会通过购买关注者来迅速增加他们的关注者数量,从而让他们的账号看起来更受欢迎。 2. <b>使用机器人账号:</b> 制造虚假流量的另一种常见方法是使用机器人账号自动执行喜欢、转发和评论等互动操作,从而提高一条推文的互动量。 3. <b>推文交换:</b> 一些用户之间会进行推文交换,即互相喜欢、转发对方的推文...
Earlier this month, CZ and Peter Schiff had an interesting "Bitcoin VS Gold" debate at the Binance Blockchain Week. After watching the video of this debate, I browsed Twitter and stumbled upon a related discussion thread. As I read through the comments, I suddenly noticed a peculiar issue...
On YouTube, Binance's official account has 1.22 million subscribers, but the debate video only garnered 160,000 views and 5,358 likes:
购买关注者: 一些用户会通过购买关注者来迅速增加他们的关注者数量,从而让他们的账号看起来更受欢迎。
2. 使用机器人账号: 制造虚假流量的另一种常见方法是使用机器人账号自动执行喜欢、转发和评论等互动操作,从而提高一条推文的互动量。
3. 推文交换: 一些用户之间会进行推文交换,即互相喜欢、转发对方的推文..." src="https://image.theblockbeats.info/file_v6/20251223/ac24fb8e-a173-4145-88b9-d43b77423fc3.png?x-oss-process=image/quality,q_50/format,webp" alt="" data-href="" style="" >
However, when casually searching for tweets on Twitter (X) related to the same topic, such as the one shown in the image below, the Twitter account only has about 250,000 followers, yet the views reached 517,000 with over 4,100 likes:

Such a significant disparity in data cannot be ignored. So, is Twitter (X) generating "fake traffic"?
Are Impression Counts Exaggerated?
The way views are calculated on Twitter differs from what we might expect. Twitter's view count methodology is much more lenient—in that each tweet is counted as a view as soon as it appears on a logged-in user's device screen. This means that even if a user completely ignores a tweet that was recommended by Twitter's algorithm on their timeline and simply scrolls past it, it still counts as one view.
Not only does this apply to content on a user's timeline, but it also includes scenarios such as appearing in search results or viewing all historical tweets from a Twitter account where the "scroll past +1" view count applies.
Furthermore, this counting is not exclusive. For the same user, if the same tweet appears multiple times on the screen, the views will accumulate.
Therefore, if you go to a Twitter account's analytics dashboard, you'll notice that the term used for views is not "views" but "impressions." Twitter's view count calculation mainly focuses on measuring a post's exposure rather than actual engagement (such as likes, retweets, or comments), even though the latter more accurately reflects real interaction.
So, is this a bit exaggerated in terms of counting views? It indeed seems to be, but it's not so straightforward.
Let's make a comparative analysis with other social media platforms. The way Threads calculates views is almost identical to Twitter, mainly emphasizing post exposure rather than actual interactions.
As for the video-centric platforms YouTube and TikTok, the barrier to entry has instantly risen. For traditional long-form videos, YouTube requires a viewing duration of over 30 seconds to count as a valid view. The scale of long-form video content is significantly larger compared to short tweets, so requiring a 30-second view is deemed reasonable. On the other hand, for short videos on TikTok, the situation is not much different, especially on the auto-played For You page, which is similar to X—once the video appears on the user's screen, the view count increments by +1, even if the user scrolls past without watching.
The purpose of this "exaggeration" is to better reflect the content's "exposure." But why such a practice?
Actually, everyone can now view the view count of a particular tweet, thanks to an update brought about by Musk's acquisition of Twitter. Previously, only the poster themselves could see a tweet's view count. Musk himself personally tweeted to explain the reason for this update:

"Twitter is far more active than it seems because 90% of Twitter users only observe without tweeting, liking, or commenting."
In the above tweet, Musk also mentioned, "For videos, this is just normal operation." At that time, Twitter had just been acquired by Musk, followed by mass layoffs and the controversy surrounding Twitter's "Blue V Premium Subscription," with the mockery of "Twitter is dead" prevalent at the time.
It's hard to say whether Musk chose to open view count data at that time with a non-confrontational attitude, as even his AI Grok said:

And this kind of "exaggeration" may not just be a matter of individual perception. According to a Yahoo news report, some Twitter employees mentioned in the past that the reason for not disclosing view count data was that, "It's difficult to determine whether a tweet has been genuinely read or merely skimmed through by the user."
It's evident that defining whether a tweet has been "effectively read" is also challenging. While Musk certainly had a "counterattack" motive, what he said was also true. For tweets, this simplified view count metric is necessary because many tweets (such as memes) do not require a deep user engagement but rather focus on the widest and shallowest part of the funnel—just attracting users as much as possible.
Priority exposure rather than deep interaction, high visibility rather than deep engagement, is what X and Musk prioritize.
Finding "Authenticity" in "Extravagance"
Of course, if only high visibility is pursued, creators are likely to fall into another extreme—seeking quantity over quality. If that's the case, over time, Twitter will also decline due to the low quality of content.
Therefore, page views are not the sole core metric that creators should strive for. The vast majority of creators work hard on content to monetize it. For creators, revenue is a measurable return that can motivate high-quality content creation. Page views are like a rest stop along the marathon route—congratulations, you have run so far and are ahead of many, keep up the good work.
To have the commercialization power, increasing page views is the first step. However, even if the page views are high, if the content does not attract advertisers, such as by attracting a specific audience with sensitive topics or short-term hot topics, the revenue will still be close to 0.
On Twitter, "Creator Revenue Sharing" is clearly the compass for finding "authenticity" in "extravagance." To measure an account's influence, creator revenue sharing is much more important than page views because to receive Twitter's creator revenue sharing, page views are just a threshold and one of the indicators to assist creators in producing better-selling content.
Twitter's Creator Revenue Sharing (Ads Revenue Sharing) was launched in July 2023. Former Twitter CEO Linda Yaccarino revealed in May 2024 that over $50 million in creator revenue sharing had already been paid out.
To qualify for creator revenue sharing, you must first meet the threshold—verify your identity, subscribe to Twitter Premium membership, have 500 Premium member followers, and accumulate at least 5 million views within 3 months.
But as we mentioned above, merely increasing page views is just the beginning. Creator revenue sharing is calculated based on the verified (Premium member) engagement with the tweets (e.g., likes and replies) while considering the influence of different content types, such as articles, videos, Spaces, and live broadcasts.
Therefore, on Twitter, we can see a creator with 330,000 followers earning over $2,000 in a month:

You can also see that a creator with only 13,000 followers earns over $1,000 a month:

In October last year, Twitter officially announced that the source of creator revenue sharing is no longer based on ad revenue appearing in the comment section but on Twitter Premium members' subscription revenue. This move is aimed at encouraging more high-quality creators to emerge—together, let's grow the pie, the more people pay Twitter, the more we pay creators.

In November this year, Twitter introduced a new feature called "Bangers," where based on the real interaction volume of tweets, the official team periodically selects some high-quality tweets and awards the creator account a "Bangers" badge. This "Tweet Hall of Fame" feature provides another criterion for us to find "authenticity" in all the "hype."

Conclusion
Perhaps the present moment we are in is the most capable of proving the point that "courage is the most important quality for success." The first step for a creator is precisely to "bravely express oneself," which is also a core quality of a qualified creator.
In the current era where live streaming sales and self-media have quietly changed the work ecosystem for many years, we all say, "traffic equals money." However, the first step to making money is precisely the view count behind the screen, plus one, plus one, and another plus one, and you, who bravely express yourself, are already at the starting line.
Now that you have seen how Twitter manufactures "fake traffic," will you start today to generate your own authentic traffic?
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Before using Musk's "Western WeChat" X Chat, you need to understand these three questions
The X Chat will be available for download on the App Store this Friday. The media has already covered the feature list, including self-destructing messages, screenshot prevention, 481-person group chats, Grok integration, and registration without a phone number, positioning it as the "Western WeChat." However, there are three questions that have hardly been addressed in any reports.
There is a sentence on X's official help page that is still hanging there: "If malicious insiders or X itself cause encrypted conversations to be exposed through legal processes, both the sender and receiver will be completely unaware."
No. The difference lies in where the keys are stored.
In Signal's end-to-end encryption, the keys never leave your device. X, the court, or any external party does not hold your keys. Signal's servers have nothing to decrypt your messages; even if they were subpoenaed, they could only provide registration timestamps and last connection times, as evidenced by past subpoena records.
X Chat uses the Juicebox protocol. This solution divides the key into three parts, each stored on three servers operated by X. When recovering the key with a PIN code, the system retrieves these three shards from X's servers and recombines them. No matter how complex the PIN code is, X is the actual custodian of the key, not the user.
This is the technical background of the "help page sentence": because the key is on X's servers, X has the ability to respond to legal processes without the user's knowledge. Signal does not have this capability, not because of policy, but because it simply does not have the key.
The following illustration compares the security mechanisms of Signal, WhatsApp, Telegram, and X Chat along six dimensions. X Chat is the only one of the four where the platform holds the key and the only one without Forward Secrecy.
The significance of Forward Secrecy is that even if a key is compromised at a certain point in time, historical messages cannot be decrypted because each message has a unique key. Signal's Double Ratchet protocol automatically updates the key after each message, a mechanism lacking in X Chat.
After analyzing the X Chat architecture in June 2025, Johns Hopkins University cryptology professor Matthew Green commented, "If we judge XChat as an end-to-end encryption scheme, this seems like a pretty game-over type of vulnerability." He later added, "I would not trust this any more than I trust current unencrypted DMs."
From a September 2025 TechCrunch report to being live in April 2026, this architecture saw no changes.
In a February 9, 2026 tweet, Musk pledged to undergo rigorous security tests of X Chat before its launch on X Chat and to open source all the code.
As of the April 17 launch date, no independent third-party audit has been completed, there is no official code repository on GitHub, the App Store's privacy label reveals X Chat collects five or more categories of data including location, contact info, and search history, directly contradicting the marketing claim of "No Ads, No Trackers."
Not continuous monitoring, but a clear access point.
For every message on X Chat, users can long-press and select "Ask Grok." When this button is clicked, the message is delivered to Grok in plaintext, transitioning from encrypted to unencrypted at this stage.
This design is not a vulnerability but a feature. However, X Chat's privacy policy does not state whether this plaintext data will be used for Grok's model training or if Grok will store this conversation content. By actively clicking "Ask Grok," users are voluntarily removing the encryption protection of that message.
There is also a structural issue: How quickly will this button shift from an "optional feature" to a "default habit"? The higher the quality of Grok's replies, the more frequently users will rely on it, leading to an increase in the proportion of messages flowing out of encryption protection. The actual encryption strength of X Chat, in the long run, depends not only on the design of the Juicebox protocol but also on the frequency of user clicks on "Ask Grok."
X Chat's initial release only supports iOS, with the Android version simply stating "coming soon" without a timeline.
In the global smartphone market, Android holds about 73%, while iOS holds about 27% (IDC/Statista, 2025). Of WhatsApp's 3.14 billion monthly active users, 73% are on Android (according to Demand Sage). In India, WhatsApp covers 854 million users, with over 95% Android penetration. In Brazil, there are 148 million users, with 81% on Android, and in Indonesia, there are 112 million users, with 87% on Android.
WhatsApp's dominance in the global communication market is built on Android. Signal, with a monthly active user base of around 85 million, also relies mainly on privacy-conscious users in Android-dominant countries.
X Chat circumvented this battlefield, with two possible interpretations. One is technical debt; X Chat is built with Rust, and achieving cross-platform support is not easy, so prioritizing iOS may be an engineering constraint. The other is a strategic choice; with iOS holding a market share of nearly 55% in the U.S., X's core user base being in the U.S., prioritizing iOS means focusing on their core user base rather than engaging in direct competition with Android-dominated emerging markets and WhatsApp.
These two interpretations are not mutually exclusive, leading to the same result: X Chat's debut saw it willingly forfeit 73% of the global smartphone user base.
This matter has been described by some: X Chat, along with X Money and Grok, forms a trifecta creating a closed-loop data system parallel to the existing infrastructure, similar in concept to the WeChat ecosystem. This assessment is not new, but with X Chat's launch, it's worth revisiting the schematic.
X Chat generates communication metadata, including information on who is talking to whom, for how long, and how frequently. This data flows into X's identity system. Part of the message content goes through the Ask Grok feature and enters Grok's processing chain. Financial transactions are handled by X Money: external public testing was completed in March, opening to the public in April, enabling fiat peer-to-peer transfers via Visa Direct. A senior Fireblocks executive confirmed plans for cryptocurrency payments to go live by the end of the year, holding money transmitter licenses in over 40 U.S. states currently.
Every WeChat feature operates within China's regulatory framework. Musk's system operates within Western regulatory frameworks, but he also serves as the head of the Department of Government Efficiency (DOGE). This is not a WeChat replica; it is a reenactment of the same logic under different political conditions.
The difference is that WeChat has never explicitly claimed to be "end-to-end encrypted" on its main interface, whereas X Chat does. "End-to-end encryption" in user perception means that no one, not even the platform, can see your messages. X Chat's architectural design does not meet this user expectation, but it uses this term.
X Chat consolidates the three data lines of "who this person is, who they are talking to, and where their money comes from and goes to" in one company's hands.
The help page sentence has never been just technical instructions.

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