Eight months ago, when I first saw Doll Sister mention a bug on Pornhub that utilized a "time-weighted + historical interaction data" overlay to create the illusion of a "new content explosion," I wrote an article about it:

The most profitable game in this world is the game of exploiting bugs. Behind bug exploitation lies information asymmetry, institutional loopholes, and nonlinear thinking.

Those who can exploit bugs are, in fact, people who respect objective laws, and they can easily make money because they always find "loopholes" that go beyond conventional gameplay. The world is their ATM!

Meanwhile, most people follow the rules and stick to "normal gameplay," ultimately becoming "system maintainers," paying the price to fix bugs.

Because my first pot of gold also came from exploiting a bug in the bank's deposit system, it was legal, after all!

🔹 Retail investors follow the "rules," while smart people exploit the "loopholes."

🔹 Ordinary people study projects, while smart people study mechanisms.

🔹 The real money-making comes not from studying projects but from studying the "bugs" in the market!

Some people like Doll Sister have glimpsed the code of the world, allowing them to continuously extract wealth, regardless of the industry!

I didn't expect that eight months later, her sharing about the X sensitive tags leading to the "separation of recommendation pool and fan pool," resulting in "jailbreak-style growth," along with her insights on traffic acquisition during her migration process, would once again shock me.

This striking statement:

In an industry where one could take off by seizing opportunities, exchanging the most precious time for the lowest certainty of income is indeed somewhat tragic and worth everyone’s contemplation.

Doll Sister's traffic strategy perfectly interprets: the recommendation system is not a "fair distributor," but a "sorting machine driven by target functions." What the platform usually wants is: more time spent, more interactions, higher retention, and less risk (compliance).

Thus, the recommendation system uses some "observable signals" as proxy indicators: likes, comments, shares, completion rates, return visit rates, report rates, etc.

What Doll Sister does essentially is: find the places where the signals do not align with real value (loopholes/looseness/maintenance period/iteration period), and use strategies to push the "observable signals" to extremes, causing the system to misjudge "this is high-quality content."

Traffic flywheel = public domain reach × interaction amplification × convertible engagement. In other words: traffic without engagement is just fireworks; only engagement that can compound is called an asset.

Here are a few insights to share with everyone. If you are also managing an account, I strongly recommend you take a look:

1️⃣ First, ask the purpose

What exactly do you want to earn with your account? What is the purpose of creating this account?

Doll Sister tells us the core is:

If you are in a field that requires trust but use "curiosity/controversy" to gain attention, you will attract a bunch of hard-to-convert audiences and damage trust.

So this is actually the most important point:

Be clear about what you really want to do. If you just want to gain some traffic, I think there are many methods of Doll Sister that you can imitate. However, if what you want is connection or trust, there are many things you actually cannot do.

So there is no right or wrong, only different purposes.

Additionally, different stages can have different purposes.

2️⃣ Smart interaction

Treat "interaction" as a distribution method, but do not turn yourself into an "interaction inducement account."

The distribution of X indeed looks at interaction, but what you should pursue is high-quality interaction.

A more stable approach is: design an "informative interaction question" for each main post.

For example:

"At which step are you stuck in your investment confusion? I will pick 3 from the comments to give advice."

"Do you agree more with A or B? What is the reason?"

"What is the most effective/least effective method you have tried? I will compile it into a list as feedback."

Use "secondary creation in the reply area" to increase stay time and value density.

The main post provides conclusions, while the comments supplement: examples, data, tools, counterexamples.

This is more like creating a content product than just "asking for comments."

3️⃣ Focus on data:

You can operate like Doll Sister by "using data," but focus on the right metrics. You don't need a complex system; we can combine AI to create simple weekly reports:

Look at just 6 numbers each week:

1. Average exposure (impressions / post)

2. Follow conversion rate (follows ÷ profile visits)

3. Bookmark rate (bookmarks / impressions) — this is closer to "value" than likes

4. Reply quality (how many comments are serious discussions rather than emojis/spam)

5. Link click-through rate (if you have a conversion link)

6. Unfollow rate or negative feedback signals (indications of hiding/blocking/reporting, observe what you can)

You will find:

1) "Going viral" is not important; what matters is whether it brings high-quality followers afterward;

2) Bookmark rate and follow conversion rate often predict long-term growth better than likes.

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