AmberCutie's Forum
An adult community for cam models and members to discuss all the things!

Fake viewer bots on Chaturbate are back

  • ** WARNING - ACF CONTAINS ADULT CONTENT **
    Only persons aged 18 or over may read or post to the forums, without regard to whether an adult actually owns the registration or parental/guardian permission. AmberCutie's Forum (ACF) is for use by adults only and contains adult content. By continuing to use this site you are confirming that you are at least 18 years of age.
Mar 12, 2022
65
17
51
Just so everyone knows, the fake viewer bots on Chaturbate are back and CB system that previously banned them instantly doesn't seem to work any more.

So if you are wondering why in the past two weeks it takes you forever to reach your average position on CBhrs or your room suddenly became empty here's why.

In the past couple of days I found a few models (I'm sure there are many more) that are again using the fake viewer bots and one of them with a handful of colors gets even 5000 viewers in about 1 hour after starting her broadcast (previously highest page 5 according to CBhrs and average 150 viewers). So be prepare for more of these scammers to come if CB team doesn't do anything about them.

@punkerbarbie can you report this issue to the tech team so they improve their system to detect scam please?
 

Attachments

  • Screenshot_20260201_025829_Samsung Internet.jpg
    Screenshot_20260201_025829_Samsung Internet.jpg
    205.2 KB · Views: 84
  • Screenshot_20260201_025214_Samsung Internet.jpg
    Screenshot_20260201_025214_Samsung Internet.jpg
    385.9 KB · Views: 78
Just so everyone knows, the fake viewer bots on Chaturbate are back and CB system that previously banned them instantly doesn't seem to work any more.

So if you are wondering why in the past two weeks it takes you forever to reach your average position on CBhrs or your room suddenly became empty here's why.

In the past couple of days I found a few models (I'm sure there are many more) that are again using the fake viewer bots and one of them with a handful of colors gets even 5000 viewers in about 1 hour after starting her broadcast (previously highest page 5 according to CBhrs and average 150 viewers). So be prepare for more of these scammers to come if CB team doesn't do anything about them.

@punkerbarbie can you report this issue to the tech team so they improve their system to detect scam please?
A friend saw this in a forum she belongs to. A response from CB...
photo_2026-02-19_10-19-24.jpg
 
Upvote 0
But yes, it seems illegal boosts are rampant. I've asked CB what they are doing about this and their response is always the automated "we will investigate this"
 
Upvote 0
A friend saw this in a forum she belongs to. A response from CB...
View attachment 105413
Anonymous viewers aren't viewer bots and they don't influence the ranking.

In my opinion and based on my own experience, the reason why some cheating models have 10k+ viewers while now at the bottom of page 1, on page 2 and lower is because they tried to trick the algorithm with 300-400 invisible users. After they reach a certain point or become one of the top ~ 20 biggest rooms on the whole site with those bots they get high numbers of anonymous viewers added to their rooms in result. These anons do nothing. Next CB system detects those fake viewers and instantly kick the model back down to their real position and the number of those anons gradually decrease in their room. Looks like they don't ban those invisible viewers but just ignore them as CBhrs page still includes them in their ranking.

CB ranking finally working correctly again like it was in early December. Genuine models should now see more viewers their rooms. If anything changes I'll make another post.
 
  • Helpful!
  • Like
Reactions: Squinkle and Olive
Upvote 0
A friend saw this in a forum she belongs to. A response from CB...
View attachment 105413
That's already posted earlier in the thread however reading it a second time I realized they said "of views that were always being brought to the site" if they actually made it to the site how could they have not been counted before? So confusing.


Looks like they don't ban those invisible viewers but just ignore them as CBhrs page still includes them in their ranking.
Cbhours displays their real ranking because the API is not impacted by the Chaturbate recommendation system. So if the model isn't recommended to you they would appear further down in the list than what Cbhours reflects since there are so many recommended slots that would technically push back models that aren't recommended to the specific viewer.
 
  • Like
Reactions: Squinkle
Upvote 0
I know there were recommended spots added to page 1 with the algorithm change.

Support knows about fake traffic that exists and they asked to report the shady rooms. They seem very interested in the issue.

I'm sending one last report to CB regarding the rooms I found to put them under scrutiny and I'm leaving this issue. Shame they can't see the problem themselves.

I'll also ask about the ranking. Being ranked #15 on CBhrs while displayed on page 2 isn't normal. On page 2 there are no recommended slots (I'm sure of that) and I used 2 extra devices on which I didn't watch any model to investigate.
 

Attachments

  • Screenshot_20260220_071612_Samsung Internet.jpg
    Screenshot_20260220_071612_Samsung Internet.jpg
    537.2 KB · Views: 15
  • Screenshot_20260220_071630_Samsung Internet.jpg
    Screenshot_20260220_071630_Samsung Internet.jpg
    232.8 KB · Views: 15
Upvote 0
I know there were recommended spots added to page 1 with the algorithm change.

Support knows about fake traffic that exists and they asked to report the shady rooms. They seem very interested in the issue.

I'm sending one last report to CB regarding the rooms I found to put them under scrutiny and I'm leaving this issue. Shame they can't see the problem themselves.

I'll also ask about the ranking. Being ranked #15 on CBhrs while displayed on page 2 isn't normal. On page 2 there are no recommended slots (I'm sure of that) and I used 2 extra devices on which I didn't watch any model to investigate.
you are right that looks like a positional penalty but that type of thing used to reflect in the API 🤷‍♂️
 
Upvote 0
In the past two days I see many well established models, held for hours on page 2 in the past two months because of scammers, back on page 1 with more viewers again now.

Most of the scammers stopped cheating about a week ago but there are still a few ones active on the site.

Those scammers don't appear on page 1 any more now at all (even in the recommended slots) until they enter the contest for top best 10 cams and are displayed somewhere on top in effect. It's easier to spot them now because of the reduction of the number of anonymous viewers on CB that happened last Friday night. The scammers are the ones with about 1000-2000 viewers on page 2 (sometimes even page 3) with just a few colors.

Those scammers are active between 9 pm - 9 am EST mostly.

Screen shots taken and the rooms reported again. I hope the problem is finally solved soon. They've been cheating for 2 months now.
 

Attachments

  • 20260222_105729.jpg
    20260222_105729.jpg
    3.3 MB · Views: 18
  • 20260222_105941.jpg
    20260222_105941.jpg
    3.5 MB · Views: 20
Upvote 0
Steady low baselines (20-100 viewers), frequent spikes to 200-500, occasional extreme peaks (360-2438), clustered activity rises, and synchronized timing suggest coordinated studio manipulation of ranks.

Part 1: Baseline Trends Shared Within the Old Group (Group 2)​

(Ashleysinnx_2.png, Assmerising_2.png, Evasunderland_2.png, Evazane_2.png, Evelyn_evyy_2.png)

A strict review of the 2025 data across this cluster of older accounts—completely excluding all peak directory promotion spikes—reveals a highly synchronized macro-pattern rather than independent channel metrics:

  • The January–July 2025 Fragmented Phase: For the first seven months of 2025, the daily data points consistently present as thin, erratic vertical lines. On normal streaming days, the metrics routinely drop down to negligible viewer levels compressed near the bottom axis. This proves that during everyday streaming sessions, these channels entirely lacked stable, organic audience volume.
  • The August–December 2025 Block Shift: In the August–September 2025 window, the daily timeline metrics undergo an abrupt structural transformation. The jagged, low-volume lines cease completely. In their place, the charts form a dense, heavily concentrated, solid block of data with an elevated, perfectly uniform floor. For the remainder of the year, every session consistently records a rigid peak baseline band between 150 and 400+ concurrent viewers, completely devoid of natural downward variance or low-performance days.

Part 2: Baseline Trends Shared Within the First Group (Group 1)​

(Chloedevinex.png, Juicy_jessye.png, misskiarra.png, Ravennadarcy.png, siennaruh.png)

Isolating the newer models in the first group during the 2025 calendar year reveals an identical structural timeline that matches the Group 2 progression perfectly:

  • The January–July 2025 Low-Volume Phase: Throughout the first seven months of the year, these accounts demonstrate an active streaming schedule, but their metrics remain tightly restricted. Their daily peak lines hover uniformly just above the bottom axis, showing a complete absence of independent organic traction or growth.
  • The August–September 2025 "Ignition" Phase: In the exact same late-summer window, the entire group simultaneously experiences an aggressive volume expansion. Without a gradual, stream-by-stream audience accumulation curve, the charts instantly transition into dense, solid rectangular blocks, maintaining a rigid daily floor of 150 to 300 concurrent viewers through December 2025.

Part 3: Cross-Portfolio Synthesis & Network Analysis​

When contrasting the daily baseline metrics of Group 1 and Group 2 side-by-side, the exact chronological overlap confirms that both portfolios are tied to a single, centralized system. Independent streaming accounts operating naturally do not simultaneously alter the behavior of their daily data plots within the exact same 30-to-60-day window.

The exact weeks that the older accounts (Group 2) abandon their low-volume, jagged daily lines to solidify into dense blocks is the exact same moment the newer accounts (Group 1) break out of their low-view constraint to adopt the identical block shape. This points directly to a portfolio-wide configuration update across all channels simultaneously.

Compliance Assessment: Metric Inflation and Fleet Management Mechanisms​

An objective forensic evaluation of these patterns confirms a sophisticated metric inflation exploit designed to manipulate platform directory algorithms while evading automated anti-bot filters.

1. Evidence of Programmatic Traffic Distribution (Dynamic Rotation)​

The data signatures throughout the first half of 2025 indicate a system of controlled traffic distribution or asset rotation.

  • During this phase, the network operator did not assign maximum volume to all accounts simultaneously—an activity that triggers immediate anomaly flags.
  • Instead, the centralized system dynamically rotated high-volume traffic from channel to channel. On days a channel was selected for promotion, it received a targeted volume injection, creating a sharp vertical line on the chart. When the system rotated the traffic allocation to a different account in the fleet, the daily metrics immediately collapsed back down to a low, compressed baseline. This coordinated switching kept individual accounts from holding an overtly constant, flaggable footprint while still cyclically forcing them up the platform directories.

2. Evolution to Continuous Baseline Inflation​

In August and September 2025, the operational methodology shifted from an active rotation model to a continuous baseline inflation model.

Instead of selectively routing a shared traffic pool on alternating days, the infrastructure was adjusted to automatically inject a permanent, fixed minimum allocation of artificial viewers to every active stream session across the entire portfolio simultaneously. Because every single stream—regardless of generation, time of day, or day of the week—was systematically padded with 150 to 400+ unvarying viewer tokens, all natural human variance was erased. This structural change guaranteed every channel a high-ranking directory placement the moment they went live, flattening out the long-term timeline into the uniform, solid block formations observed through the end of 2025.

What we observed


Across 11 accounts split into two groups, three patterns repeat consistently across every single account without exception.


Pattern 1 — They rise at the same time


Group 1 examples:


  • Sep 2025: Chloedevinex, Juicy_jessye, Kiss_jess, Misskiarra all rise within the same week
  • Nov 2025: Siennaruh, Ravennadarcy, Kiss_jess, Misskiarra all rise within 3 weeks
  • Jan 2026: Chloedevinex, Kiss_jess, Siennaruh all rise within 3 days of each other
  • Apr 2026: Siennaruh, Ravennadarcy, Misskiarra, Chloedevinex, Kiss_jess all rise within 3 weeks

Group 2 examples:


  • Sep–Oct 2025: Evasunderland, Evazane, Ashleysinnx all rise within the same 3-week window
  • Jan 2026: Evasunderland, Evazane, Evelyn_evyy all rise within the same 2-week window
  • Mar 2026: Ashleysinnx, Evazane, Evelyn_evyy all rise within the same week

Pattern 2 — They fall in sequence, not together


Group 1 examples:


  • Oct 2025: Chloedevinex falls ~Sep 25 → Juicy_jessye ~Oct 5 → Kiss_jess ~Oct 10 → Misskiarra ~Oct 25
  • Dec 2025: Misskiarra and Siennaruh fall ~Dec 5–8 → Kiss_jess and Ravennadarcy ~Dec 10–15
  • Jan 2026: Chloedevinex, Kiss_jess, Siennaruh all fall within the same week ~Jan 12–20
  • May 2026: Kiss_jess, Chloedevinex, Siennaruh, Ravennadarcy fall in staggered sequence across 10 days

Group 2 examples:


  • Nov–Dec 2025: Evasunderland and Evazane fall ~Nov → Ashleysinnx follows ~Dec, 2–3 weeks later
  • Feb–Mar 2026: Evasunderland, Evazane, Evelyn_evyy all fall within 3 weeks of each other
  • Apr–May 2026: Ashleysinnx, Evazane, Evelyn_evyy, Assmerising fall in staggered sequence over 3 weeks

Pattern 3 — No audience is retained after any peak


Applies to all accounts without exception from Jan 2025 onward:Chloedevinex, Juicy_jessye, Kiss_jess, Misskiarra, Ravennadarcy, Siennaruh, Ashleysinnx, Assmerising, Evasunderland, Evazane, Evelyn_evyy — every single account returns to its pre-elevation baseline after every cycle throughout 2025 and into 2026.
 

Attachments

  • siennaruh.png
    siennaruh.png
    78.5 KB · Views: 4
  • Ravennadarcy.png
    Ravennadarcy.png
    100.5 KB · Views: 4
  • misskiarra.png
    misskiarra.png
    84 KB · Views: 2
  • Kiss_jess.png
    Kiss_jess.png
    94.1 KB · Views: 1
  • Juicy_jessye.png
    Juicy_jessye.png
    96.6 KB · Views: 2
  • Chloedevinex.png
    Chloedevinex.png
    91.9 KB · Views: 2
  • Kiss_jess.png
    Kiss_jess.png
    94.1 KB · Views: 2
  • Evelyn_evyy.png
    Evelyn_evyy.png
    89.5 KB · Views: 1
  • Evazane.png
    Evazane.png
    92.6 KB · Views: 1
  • Evasunderland.png
    Evasunderland.png
    105.3 KB · Views: 1
  • Assmerising.png
    Assmerising.png
    98 KB · Views: 3
  • Ashleysinnx.png
    Ashleysinnx.png
    94.2 KB · Views: 4
Upvote 0
Steady low baselines (20-100 viewers), frequent spikes to 200-500, occasional extreme peaks (360-2438), clustered activity rises, and synchronized timing suggest coordinated studio manipulation of ranks.

Part 1: Baseline Trends Shared Within the Old Group (Group 2)​

(Ashleysinnx_2.png, Assmerising_2.png, Evasunderland_2.png, Evazane_2.png, Evelyn_evyy_2.png)

A strict review of the 2025 data across this cluster of older accounts—completely excluding all peak directory promotion spikes—reveals a highly synchronized macro-pattern rather than independent channel metrics:

  • The January–July 2025 Fragmented Phase: For the first seven months of 2025, the daily data points consistently present as thin, erratic vertical lines. On normal streaming days, the metrics routinely drop down to negligible viewer levels compressed near the bottom axis. This proves that during everyday streaming sessions, these channels entirely lacked stable, organic audience volume.
  • The August–December 2025 Block Shift: In the August–September 2025 window, the daily timeline metrics undergo an abrupt structural transformation. The jagged, low-volume lines cease completely. In their place, the charts form a dense, heavily concentrated, solid block of data with an elevated, perfectly uniform floor. For the remainder of the year, every session consistently records a rigid peak baseline band between 150 and 400+ concurrent viewers, completely devoid of natural downward variance or low-performance days.

Part 2: Baseline Trends Shared Within the First Group (Group 1)​

(Chloedevinex.png, Juicy_jessye.png, misskiarra.png, Ravennadarcy.png, siennaruh.png)

Isolating the newer models in the first group during the 2025 calendar year reveals an identical structural timeline that matches the Group 2 progression perfectly:

  • The January–July 2025 Low-Volume Phase: Throughout the first seven months of the year, these accounts demonstrate an active streaming schedule, but their metrics remain tightly restricted. Their daily peak lines hover uniformly just above the bottom axis, showing a complete absence of independent organic traction or growth.
  • The August–September 2025 "Ignition" Phase: In the exact same late-summer window, the entire group simultaneously experiences an aggressive volume expansion. Without a gradual, stream-by-stream audience accumulation curve, the charts instantly transition into dense, solid rectangular blocks, maintaining a rigid daily floor of 150 to 300 concurrent viewers through December 2025.

Part 3: Cross-Portfolio Synthesis & Network Analysis​

When contrasting the daily baseline metrics of Group 1 and Group 2 side-by-side, the exact chronological overlap confirms that both portfolios are tied to a single, centralized system. Independent streaming accounts operating naturally do not simultaneously alter the behavior of their daily data plots within the exact same 30-to-60-day window.

The exact weeks that the older accounts (Group 2) abandon their low-volume, jagged daily lines to solidify into dense blocks is the exact same moment the newer accounts (Group 1) break out of their low-view constraint to adopt the identical block shape. This points directly to a portfolio-wide configuration update across all channels simultaneously.

Compliance Assessment: Metric Inflation and Fleet Management Mechanisms​

An objective forensic evaluation of these patterns confirms a sophisticated metric inflation exploit designed to manipulate platform directory algorithms while evading automated anti-bot filters.

1. Evidence of Programmatic Traffic Distribution (Dynamic Rotation)​

The data signatures throughout the first half of 2025 indicate a system of controlled traffic distribution or asset rotation.

  • During this phase, the network operator did not assign maximum volume to all accounts simultaneously—an activity that triggers immediate anomaly flags.
  • Instead, the centralized system dynamically rotated high-volume traffic from channel to channel. On days a channel was selected for promotion, it received a targeted volume injection, creating a sharp vertical line on the chart. When the system rotated the traffic allocation to a different account in the fleet, the daily metrics immediately collapsed back down to a low, compressed baseline. This coordinated switching kept individual accounts from holding an overtly constant, flaggable footprint while still cyclically forcing them up the platform directories.

2. Evolution to Continuous Baseline Inflation​

In August and September 2025, the operational methodology shifted from an active rotation model to a continuous baseline inflation model.

Instead of selectively routing a shared traffic pool on alternating days, the infrastructure was adjusted to automatically inject a permanent, fixed minimum allocation of artificial viewers to every active stream session across the entire portfolio simultaneously. Because every single stream—regardless of generation, time of day, or day of the week—was systematically padded with 150 to 400+ unvarying viewer tokens, all natural human variance was erased. This structural change guaranteed every channel a high-ranking directory placement the moment they went live, flattening out the long-term timeline into the uniform, solid block formations observed through the end of 2025.

What we observed


Across 11 accounts split into two groups, three patterns repeat consistently across every single account without exception.


Pattern 1 — They rise at the same time


Group 1 examples:


  • Sep 2025: Chloedevinex, Juicy_jessye, Kiss_jess, Misskiarra all rise within the same week
  • Nov 2025: Siennaruh, Ravennadarcy, Kiss_jess, Misskiarra all rise within 3 weeks
  • Jan 2026: Chloedevinex, Kiss_jess, Siennaruh all rise within 3 days of each other
  • Apr 2026: Siennaruh, Ravennadarcy, Misskiarra, Chloedevinex, Kiss_jess all rise within 3 weeks

Group 2 examples:


  • Sep–Oct 2025: Evasunderland, Evazane, Ashleysinnx all rise within the same 3-week window
  • Jan 2026: Evasunderland, Evazane, Evelyn_evyy all rise within the same 2-week window
  • Mar 2026: Ashleysinnx, Evazane, Evelyn_evyy all rise within the same week

Pattern 2 — They fall in sequence, not together


Group 1 examples:


  • Oct 2025: Chloedevinex falls ~Sep 25 → Juicy_jessye ~Oct 5 → Kiss_jess ~Oct 10 → Misskiarra ~Oct 25
  • Dec 2025: Misskiarra and Siennaruh fall ~Dec 5–8 → Kiss_jess and Ravennadarcy ~Dec 10–15
  • Jan 2026: Chloedevinex, Kiss_jess, Siennaruh all fall within the same week ~Jan 12–20
  • May 2026: Kiss_jess, Chloedevinex, Siennaruh, Ravennadarcy fall in staggered sequence across 10 days

Group 2 examples:


  • Nov–Dec 2025: Evasunderland and Evazane fall ~Nov → Ashleysinnx follows ~Dec, 2–3 weeks later
  • Feb–Mar 2026: Evasunderland, Evazane, Evelyn_evyy all fall within 3 weeks of each other
  • Apr–May 2026: Ashleysinnx, Evazane, Evelyn_evyy, Assmerising fall in staggered sequence over 3 weeks

Pattern 3 — No audience is retained after any peak


Applies to all accounts without exception from Jan 2025 onward:Chloedevinex, Juicy_jessye, Kiss_jess, Misskiarra, Ravennadarcy, Siennaruh, Ashleysinnx, Assmerising, Evasunderland, Evazane, Evelyn_evyy — every single account returns to its pre-elevation baseline after every cycle throughout 2025 and into 2026.

It’s always nice to have a hobby 👍🏼
 
Upvote 0
Impressive data, however, I'm a simple dude with simple questions:
Does the ranking reflect how much is actually earned in a room?
You can have shitloads of traffic sources, native, affiliate, duplicate websites, pop unders, mailing reminders, shared memberships with vod sites (Streamate uses this a lot), to name but a few.
All of this name dropping fails to answer the following question:
Does the high position on the page tell us anything useful for the user acquisition funnel if there is any?
Freemium and premium cam sites don't share useful data insights,
they share jargon language instead.
How do I know it's jargon? Because it's a language way more complicated than the idea it wishes to express or serve.
Rant over:)
 
Upvote 0
Impressive data, however, I'm a simple dude with simple questions:
Does the ranking reflect how much is actually earned in a room?
You can have shitloads of traffic sources, native, affiliate, duplicate websites, pop unders, mailing reminders, shared memberships with vod sites (Streamate uses this a lot), to name but a few.
All of this name dropping fails to answer the following question:
Does the high position on the page tell us anything useful for the user acquisition funnel if there is any?
Freemium and premium cam sites don't share useful data insights,
they share jargon language instead.
How do I know it's jargon? Because it's a language way more complicated than the idea it wishes to express or serve.
Rant over:)
This isn't anything new. The same group did this a year ago, but now it's growing to much larger proportions. Here's a more detailed analysis with more data and a comparison with 5 random models, and I think it's quite interesting.

GROUP 1 — Newer accounts, manipulation visible from launch


BlairSanders, Chloedevinex, Hailey_madow, Hotbustybabex, Ravennadarcy, Siennaruh


These accounts all launched between April and November 2025, during or just before the main coordination period. Their entire observable history falls within the manipulated operation. None of them went through a natural poor-rank starting period. All received artificially elevated viewer counts either on launch day or within weeks of launching, while existing accounts in the group were simultaneously elevated.




GROUP 2 — Older accounts, manipulation begins mid-2025


Ashleysinnx, Assmerising, Evasunderland, Evelyn_evyy, Juicy_jessye, Kiss_jess, Misskiarra


These accounts were active before the coordination scaled up. Their early history shows more independent activity with natural rank struggles visible in the data. The manipulation signatures appear clearly from mid-2025 onward, coinciding exactly with the launch of the Group 1 accounts. This timing suggests the operation expanded around mid-2025, bringing these established accounts into a coordinated rotation alongside the newly launched ones.




Not manipulating — 5 accounts (anonymous)




What all 13 manipulating accounts share:


  • Viewer spikes return to exactly the same baseline every single time — zero audience retention after any peak, across every account, every spike, over more than a year
  • Rank position at some point exceeded what their organic viewer count could justify
  • Coordinated rise and fall timing shared across multiple accounts in the same windows repeatedly throughout 2025 and into 2026
  • Group 1 accounts skip the natural poor rank starting period entirely — Group 2 accounts show natural early struggles that stop once the coordination begins mid-2025
  • Viewer pool rotates between accounts in a staggered sequence — rises happen together, falls happen one by one
  • All 13 accounts maintain professional streaming hours consistently, which is consistent with a managed operation running coordinated shifts across all accounts simultaneously
  • Rank jumps happen in concentrated windows — Sep–Oct 2025 and Mar–Apr 2026 — across multiple accounts simultaneously, not spread organically across the year



Shared coordinated windows across both groups:


Sep–Oct 2025: Group 1 accounts launching and being seeded simultaneously while Group 2 accounts are elevated. Multiple accounts from both groups active in the same window.


Nov–Dec 2025: Both groups active simultaneously with staggered falls across a 10-day window. Same accounts fall in the same sequence repeatedly.


Jan 2026: Tight 3-day window where multiple accounts across both groups rise simultaneously and fall within the same week.


Mar–Apr 2026: Largest observed window. Up to 7 accounts across both groups elevated simultaneously — the peak of the coordinated operation.


Apr–May 2026: Staggered falls across both groups over approximately 3 weeks. One account rises as others begin falling — baton pass clearly visible.




How the operation continued and escalated into 2026:


Rather than slowing down after the initial 2025 coordination period, the operation intensified significantly into 2026. The coordination windows became larger, involved more accounts simultaneously, sustained elevated viewer counts for longer periods, and achieved higher peak viewer numbers than any window observed in 2025.


January 2026 marks the first moment where both groups operate in full parallel simultaneously rather than in sequence. February 2026 shows a brief consolidation period consistent with the operation pausing between cycles. March 2026 escalates with 6 or more accounts elevated at the same time — the largest sustained window observed up to that point. April 2026 is the single most coordinated month in the entire observation period — up to 7 or 8 accounts across both groups elevated simultaneously, representing the full operational capacity of the scheme at maximum scale. May 2026 follows the characteristic staggered fall pattern with the final visible baton pass in the dataset, all accounts returning to their pre-elevation baselines with zero audience retention as observed after every previous cycle. June 2026 shows the operation in a consolidation phase between cycles with viewer counts returned to organic baseline levels.


The same staggered fall pattern, the same zero audience retention, and the same coordinated timing windows repeat without exception from mid-2025 through June 2026. The operation did not slow down or stop — it grew.




What the 5 anonymous legitimate accounts have that the 13 do not:


How they grew:



  • All started with poor rank and low viewers and never skipped the difficult early period that every new account goes through
  • All streamed consistently for months or years before anything meaningful happened with their rank — that struggle period is clearly visible in the data
  • Growth was slow, irregular and unpredictable the way real individual audience building looks — no shortcuts, no sudden jumps without explanation
  • Over time consistent work built genuinely large audiences through compounding — each spike added a small permanent layer to their floor and over time those layers accumulated into a significantly higher baseline

What makes them different at every stage:


  • Hours and rank move together at every point in their history — when they streamed more their rank improved, when they took days off their rank dropped, the relationship between effort and result is visible and logical throughout
  • Every major viewer spike left a permanently raised baseline afterward — the audience that came in partially stayed and never fully left, which is what real audience retention looks like
  • Rank reflects real viewers at every point — there is never a moment where their rank is higher than their viewer count justifies
  • The three metrics — online hours, rank and viewers — all move together and make sense as a connected system at every stage of their history
  • When rank drops it matches exactly the days with low or zero streaming hours — everything is connected and explainable
  • Rank charts show natural daily volatility — moving up and down every single session in response to real competition — unlike the manipulating accounts where rank sits artificially stable between boost windows
  • The largest viewer spikes produce permanently elevated baselines that never return to previous levels — each peak compounds into a higher permanent floor, which is the definitive signature of a real audience growing over time

The single defining difference in one sentence:The 5 anonymous legitimate accounts have an audience that stays and a rank they earned through real work over time. The 13 manipulating accounts have viewers that disappear completely every single time and a rank that was given to them artificially, because the viewers were never real.




Why the coordinated windows cannot be explained by platform seasonality:


A natural alternative explanation for the shared elevation windows across the 13 accounts would be platform-wide seasonal trends — the argument that everyone gets more viewers at the same time of year simply because the platform is busier during those periods.


This explanation is ruled out by the behavior of the 5 anonymous legitimate accounts. Their peaks and growth periods are completely independent of each other and completely independent of the windows where the 13 accounts coordinate. There is no observable moment where two or more legitimate accounts spike simultaneously in a way that mirrors the 13 account windows. Their timelines are on entirely different trajectories, all peaking and falling at completely different times driven by their own individual circumstances.


If the coordinated windows in the 13 accounts were caused by platform seasonality or any external factor affecting all accounts equally, the legitimate accounts would show similar shared elevation patterns at the same times. They do not. This means the coordination visible across the 13 accounts is internal to that group and not explainable by any external platform-wide factor. It is caused by something specific to those 13 accounts and those 13 accounts only.


This finding eliminates the most plausible innocent explanation for the pattern and significantly strengthens the conclusion that the coordination is deliberate.
 
Upvote 0
I think we’re missing the core point here. Studios are not in the business of waiting, they’re in the business of scaling fast. This however, does not tell us if they scale profits as fast as they scale their traffic. The 2 are not synonymous. The rules for vanilla e-commerce apply here too. In addition, we don’t have access to CB’s actual monitoring or Google Analytics etc. We get 3rd party samples at best. So a study with A/B testing and a controlled group is indeed impressive, but does not answer the core question :
Are the top earners necessarily at the top of the page?
 
Upvote 0
Steady low baselines (20-100 viewers), frequent spikes to 200-500, occasional extreme peaks (360-2438), clustered activity rises, and synchronized timing suggest coordinated studio manipulation of ranks.

Part 1: Baseline Trends Shared Within the Old Group (Group 2)​

(Ashleysinnx_2.png, Assmerising_2.png, Evasunderland_2.png, Evazane_2.png, Evelyn_evyy_2.png)

A strict review of the 2025 data across this cluster of older accounts—completely excluding all peak directory promotion spikes—reveals a highly synchronized macro-pattern rather than independent channel metrics:

  • The January–July 2025 Fragmented Phase: For the first seven months of 2025, the daily data points consistently present as thin, erratic vertical lines. On normal streaming days, the metrics routinely drop down to negligible viewer levels compressed near the bottom axis. This proves that during everyday streaming sessions, these channels entirely lacked stable, organic audience volume.
  • The August–December 2025 Block Shift: In the August–September 2025 window, the daily timeline metrics undergo an abrupt structural transformation. The jagged, low-volume lines cease completely. In their place, the charts form a dense, heavily concentrated, solid block of data with an elevated, perfectly uniform floor. For the remainder of the year, every session consistently records a rigid peak baseline band between 150 and 400+ concurrent viewers, completely devoid of natural downward variance or low-performance days.

Part 2: Baseline Trends Shared Within the First Group (Group 1)​

(Chloedevinex.png, Juicy_jessye.png, misskiarra.png, Ravennadarcy.png, siennaruh.png)

Isolating the newer models in the first group during the 2025 calendar year reveals an identical structural timeline that matches the Group 2 progression perfectly:

  • The January–July 2025 Low-Volume Phase: Throughout the first seven months of the year, these accounts demonstrate an active streaming schedule, but their metrics remain tightly restricted. Their daily peak lines hover uniformly just above the bottom axis, showing a complete absence of independent organic traction or growth.
  • The August–September 2025 "Ignition" Phase: In the exact same late-summer window, the entire group simultaneously experiences an aggressive volume expansion. Without a gradual, stream-by-stream audience accumulation curve, the charts instantly transition into dense, solid rectangular blocks, maintaining a rigid daily floor of 150 to 300 concurrent viewers through December 2025.

Part 3: Cross-Portfolio Synthesis & Network Analysis​

When contrasting the daily baseline metrics of Group 1 and Group 2 side-by-side, the exact chronological overlap confirms that both portfolios are tied to a single, centralized system. Independent streaming accounts operating naturally do not simultaneously alter the behavior of their daily data plots within the exact same 30-to-60-day window.

The exact weeks that the older accounts (Group 2) abandon their low-volume, jagged daily lines to solidify into dense blocks is the exact same moment the newer accounts (Group 1) break out of their low-view constraint to adopt the identical block shape. This points directly to a portfolio-wide configuration update across all channels simultaneously.

Compliance Assessment: Metric Inflation and Fleet Management Mechanisms​

An objective forensic evaluation of these patterns confirms a sophisticated metric inflation exploit designed to manipulate platform directory algorithms while evading automated anti-bot filters.

1. Evidence of Programmatic Traffic Distribution (Dynamic Rotation)​

The data signatures throughout the first half of 2025 indicate a system of controlled traffic distribution or asset rotation.

  • During this phase, the network operator did not assign maximum volume to all accounts simultaneously—an activity that triggers immediate anomaly flags.
  • Instead, the centralized system dynamically rotated high-volume traffic from channel to channel. On days a channel was selected for promotion, it received a targeted volume injection, creating a sharp vertical line on the chart. When the system rotated the traffic allocation to a different account in the fleet, the daily metrics immediately collapsed back down to a low, compressed baseline. This coordinated switching kept individual accounts from holding an overtly constant, flaggable footprint while still cyclically forcing them up the platform directories.

2. Evolution to Continuous Baseline Inflation​

In August and September 2025, the operational methodology shifted from an active rotation model to a continuous baseline inflation model.

Instead of selectively routing a shared traffic pool on alternating days, the infrastructure was adjusted to automatically inject a permanent, fixed minimum allocation of artificial viewers to every active stream session across the entire portfolio simultaneously. Because every single stream—regardless of generation, time of day, or day of the week—was systematically padded with 150 to 400+ unvarying viewer tokens, all natural human variance was erased. This structural change guaranteed every channel a high-ranking directory placement the moment they went live, flattening out the long-term timeline into the uniform, solid block formations observed through the end of 2025.

What we observed


Across 11 accounts split into two groups, three patterns repeat consistently across every single account without exception.


Pattern 1 — They rise at the same time


Group 1 examples:


  • Sep 2025: Chloedevinex, Juicy_jessye, Kiss_jess, Misskiarra all rise within the same week
  • Nov 2025: Siennaruh, Ravennadarcy, Kiss_jess, Misskiarra all rise within 3 weeks
  • Jan 2026: Chloedevinex, Kiss_jess, Siennaruh all rise within 3 days of each other
  • Apr 2026: Siennaruh, Ravennadarcy, Misskiarra, Chloedevinex, Kiss_jess all rise within 3 weeks

Group 2 examples:


  • Sep–Oct 2025: Evasunderland, Evazane, Ashleysinnx all rise within the same 3-week window
  • Jan 2026: Evasunderland, Evazane, Evelyn_evyy all rise within the same 2-week window
  • Mar 2026: Ashleysinnx, Evazane, Evelyn_evyy all rise within the same week

Pattern 2 — They fall in sequence, not together


Group 1 examples:


  • Oct 2025: Chloedevinex falls ~Sep 25 → Juicy_jessye ~Oct 5 → Kiss_jess ~Oct 10 → Misskiarra ~Oct 25
  • Dec 2025: Misskiarra and Siennaruh fall ~Dec 5–8 → Kiss_jess and Ravennadarcy ~Dec 10–15
  • Jan 2026: Chloedevinex, Kiss_jess, Siennaruh all fall within the same week ~Jan 12–20
  • May 2026: Kiss_jess, Chloedevinex, Siennaruh, Ravennadarcy fall in staggered sequence across 10 days

Group 2 examples:


  • Nov–Dec 2025: Evasunderland and Evazane fall ~Nov → Ashleysinnx follows ~Dec, 2–3 weeks later
  • Feb–Mar 2026: Evasunderland, Evazane, Evelyn_evyy all fall within 3 weeks of each other
  • Apr–May 2026: Ashleysinnx, Evazane, Evelyn_evyy, Assmerising fall in staggered sequence over 3 weeks

Pattern 3 — No audience is retained after any peak


Applies to all accounts without exception from Jan 2025 onward:Chloedevinex, Juicy_jessye, Kiss_jess, Misskiarra, Ravennadarcy, Siennaruh, Ashleysinnx, Assmerising, Evasunderland, Evazane, Evelyn_evyy — every single account returns to its pre-elevation baseline after every cycle throughout 2025 and into 2026.
Hey,

I'm back here to check what's going on on CB again as for about a week I noticed that for many models (inc. me) it takes much longer time again now to get out of page 2, the number of viewers is down by half again, earnings are down, position is worse. Things always speed up after about 2hrs of camming.... There are sudden spikes in the number of viewers on your way to page 1.... For example you go from 200 to 250 and then after 30 seconds you get pushed back lower even to 150 viewers without any reason. That's unusual.

Those first 2hrs are such a waste of time omg.

Thanks for your post @fujimi
 
Upvote 0
Ok, I checked a few studio looking models on page 1 without many viewers in their rooms in comparison to models on page 2 and according to CB hours they are ranked #60-100.

So the fake viewer bots are officially back in the game again.
 
Upvote 0