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Telegram profile photo for TwT无蛤蟆广更新频道

Channel

TwT无蛤蟆广更新频道

@TwT_update

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

25,917subscribers

+10,311 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003634257219
TypeChannel
Username@TwT_update
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 October 2026
Measurements held41
Confirmed unchanged1 time, most recently 18 October 2026
On Telegramt.me/TwT_update

Topic

Gaming — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 90% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

15,60625,91720,761.57 August 2026 — 15,606 subscribers8 August 2026 — 15,685 subscribers8 August 2026 — 15,857 subscribers9 August 2026 — 16,203 subscribers11 August 2026 — 16,398 subscribers12 August 2026 — 16,587 subscribers13 August 2026 — 16,821 subscribers14 August 2026 — 17,056 subscribers15 August 2026 — 17,269 subscribers17 August 2026 — 17,529 subscribers18 August 2026 — 17,633 subscribers19 August 2026 — 17,790 subscribers20 August 2026 — 17,997 subscribers21 August 2026 — 18,164 subscribers22 August 2026 — 18,360 subscribers24 August 2026 — 18,555 subscribers25 August 2026 — 18,738 subscribers26 August 2026 — 18,854 subscribers27 August 2026 — 19,036 subscribers28 August 2026 — 19,179 subscribers29 August 2026 — 19,322 subscribers30 August 2026 — 19,453 subscribers31 August 2026 — 19,563 subscribers1 September 2026 — 19,655 subscribers2 September 2026 — 19,770 subscribers3 September 2026 — 19,914 subscribers5 September 2026 — 20,223 subscribers9 September 2026 — 20,577 subscribers11 September 2026 — 20,822 subscribers13 September 2026 — 21,096 subscribers15 September 2026 — 21,208 subscribers17 September 2026 — 21,426 subscribers25 September 2026 — 22,622 subscribers4 October 2026 — 24,160 subscribers9 October 2026 — 24,797 subscribers13 October 2026 — 25,250 subscribers14 October 2026 — 25,506 subscribers15 October 2026 — 25,587 subscribers16 October 2026 — 25,685 subscribers17 October 2026 — 25,783 subscribers18 October 2026 — 25,917 subscribers7 August 202618 October 2026
41 measurements spanning 72 days, net +10,311. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 14,059–27,464 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 41
Measured (UTC)SubscribersChange
18 Oct 2026, 10:2025,917+134
17 Oct 2026, 08:3725,783+98
16 Oct 2026, 11:2725,685+98
15 Oct 2026, 10:5625,587+81
14 Oct 2026, 13:5425,506+256
13 Oct 2026, 04:3125,250+453
9 Oct 2026, 00:2024,797+637
4 Oct 2026, 10:5724,160+1,538
25 Sept 2026, 19:4122,622+1,196
17 Sept 2026, 08:0121,426+218
15 Sept 2026, 06:0121,208+112
13 Sept 2026, 15:1921,096+274
11 Sept 2026, 18:3920,822+245
9 Sept 2026, 03:5720,577+354
5 Sept 2026, 21:3820,223+309
3 Sept 2026, 22:1819,914+144
2 Sept 2026, 16:2419,770+115
1 Sept 2026, 15:2819,655+92
31 Aug 2026, 12:3719,563+110
30 Aug 2026, 12:3919,453first reading

Engagement

153 posts held, back to 12 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 98 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
18.3%
avg views ÷ 25,917 subscribers
Avg views / post
4,730
98 posts measured
Reaction rate
0.84%
reactions ÷ views · ER floor
Posts in window
98
of 153 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 18 October 2026
Posts held153 (12 July 2026 – 18 October 2026)
Views total463,931
Reactions total3,898
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Oct 2026, 04:27 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
1m 39s
Average length
33s

Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

5,516 reactions across 152 posts, in 22 distinct kinds. The most used accounts for 86.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4,78986.8%
❤60811.0%
🔥170.308%
🤔120.218%
🥰110.199%
🤓90.163%
👎80.145%
👏80.145%
😁80.145%
🤪70.127%
😨60.109%
😱60.109%
🍌50.091%
🍾50.091%
😍40.073%
😈30.054%
🤯30.054%
🐳20.036%
🙏20.036%
💅10.018%
2 further kinds20.036%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 152 of the 153 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 5,516 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 153 most recent posts we hold, published 12 July 2026 to 18 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

18 Oct 2026, 04:25 UTC15 views30 reactionsread 18 October 2026

未来 · 封禁机器人 ➡️上千账号数据库在线处理⬅️ ⭕️全网效果最好 价格最低⭕️ 封禁【百万号池】 · 官方频道 AI 智能识别 · 全自动违规检测 致力于打造更加健康、干净、有序的社交网络环境。 未来机器人 是一款面向多平台的 AI 智能检测与举报机器人,通过自动化识别技术,对公开可访问的违规内容进行分析、检测与举报处理。 𝗦𝗨𝗣𝗣𝗢𝗥𝗧𝗘𝗗 𝗣𝗟𝗔𝗧𝗙𝗢𝗥𝗠𝗦 ▸ 快手 Kuaishou ▸ 抖音 Douyin ▸ Telegram ▸ 其他社交平台持续接入中 𝗖𝗢𝗥𝗘 𝗙𝗘𝗔𝗧𝗨𝗥𝗘𝗦 ✦ AI 智能内容识别 ✦ 全自动违规检测 ✦ 多平台协同监测 ✦ 自动化举报处理 ✦ 持续更新识别规则 ✦ 维护良好社区环境 𝗢𝗨𝗥 𝗠𝗜𝗦𝗦𝗜𝗢𝗡 让违规内容无处遁形,让正常用户拥有更好的社交环境。 不是简单的检测工具,而是面向多平台的智能化社区治理方案。 官方机器人: @WLFJ_bot 团队: 未来团队

👍30

18 Oct 2026, 00:41 UTC457 views56 reactionsread 18 October 2026
Forwarded from @luoyenb521

CFM公益解密内核 更新内容如下 更新UDP解密 增加适配性 修复当前已知问题 下载链接:https://pan.xunlei.com/s/VP4BCU-5nIBzHyVlLaK0GAUlA1?pwd=sy5p# 复制这段内容后打开手机迅雷App下载 频道 @luoyenb521

👍56

17 Oct 2026, 22:40 UTC706 views17 reactionsread 18 October 2026

🎮三角洲 无畏契约 落叶公益算法解密 已更新三角洲最新算法解密 不闪框 不漏人 不遁地 不协议 落叶自研队列明文MRA算法解密 动态解密算法 防止对局内二次加密 ✨点我验证落叶算法解密真实性 😀官方频道:@luoyenb521

👍16❤1

17 Oct 2026, 12:48 UTC≈1,360 views56 reactionsread 18 October 2026
Photo

🎮Apex公益算法解密🦾 ✦ 辅助功能介绍: 算法解密+UDP解密+模拟解密 人物绘制 全物资/容器绘制 掩体漏打变色 内核陀螺仪自瞄 内核触摸自瞄 AI自动压枪 大小地图雷达 网页雷达等等功能 新版本已更新三角洲最新算法解密,多套解密方案自由切换,不同设备都能找到适合自己的解密,适配市面99%机型,完美解决千人千面加密,不闪框不漏人不遁地 ,欢迎各位用户免费体验! 『点我验证Apex算法解密真实性』 💰打假解密成功奖励10万元人民币 ✨官方频道:@ApexZPD

👍55❤1

16 Oct 2026, 10:27 UTC773 views72 reactionsread 17 October 2026
Forwarded from @luoyenb521File

❤️三角洲落叶公益算法解密内核 解密2更新,基本全机型适配 😙使用辅助前先执行驱动 否则解密无效 解密没效果解决办法: 大退游戏重新打开 对局内开解密下飞机之后等人物都刷新出来几秒别多点 解密不要保存配置 遇到卡屏打1-2把就关掉辅助重新打开也行 如果遇到漏人问题点清理缓存即可 公益解密卡密: luoyenb521 ❗️❗️➡️点我加入官方频道 ❗️❗️➡️点我加入官方群组

👍70❤2

16 Oct 2026, 09:41 UTC≈1,360 views69 reactionsread 17 October 2026

❤️『白鸽三角洲公益算法解密』 2026年10月11日 😝🙃😜🤨😜🟰😝🙃😜🤨😜 全网NO.😃三角洲UDP解密,纯镜像抓包,不修改游戏任何内核;不闪框不漏人不遁地 😂白鸽三角洲公益UDP解密😂 💎更新内容: - 修复部分用户解密失效-一字快 - 修复部分用户自瞄失效-一字准 -全网独家配置视角追踪-一字狠 - 适配各种解密失效问题-一字稳 🎮目前解密可正常使用。如果出现无效果的情况,请先检查驱动、解密方案及相关设置是否选择正确。 公益频道:@BGGYJM 不禁言交流群: https://t.me/BGGYJM1 🕠公益三角洲全网最快-最安全-最简便解密-不是州中无真爱,是不用白鸽真坏菜。点我直接跳转大频道

👍67❤2

15 Oct 2026, 19:04 UTC413 views21 reactionsread 16 October 2026

❤️『白鸽三角洲公益算法解密』 2026年10月11日 😝🙃😜🤨😜🟰😝🙃😜🤨😜 全网NO.😃三角洲UDP解密,纯镜像抓包,不修改游戏任何内核;不闪框不漏人不遁地 😂白鸽三角洲公益UDP解密😂 💎更新内容: - 修复部分用户解密失效-一字快 - 修复部分用户自瞄失效-一字准 -全网独家配置视角追踪-一字狠 - 适配各种解密失效问题-一字稳 🎮目前解密可正常使用。如果出现无效果的情况,请先检查驱动、解密方案及相关设置是否选择正确。 公益频道:@BGGYJM 不禁言交流群: https://t.me/BGGYJM1 🕠公益三角洲全网最快-最安全-最简便解密-不是州中无真爱,是不用白鸽真坏菜。点我直接跳转大频道

👍21

15 Oct 2026, 16:27 UTC≈7,090 views48 reactionsread 18 October 2026
File

TwT驱动v1.53fix 更新内容 修复部分6.1,6.6设备刷入失败的问题,如果强制刷入也失败请将dmesg日志发送到评论区 对接例子https://t.me/TwT_update/369 请我吃辣条:https://www.ifdian.net/a/Lilimao TG: @TwT_driver/@TwT_update

👍42❤3👎2😁1

15 Oct 2026, 13:29 UTC≈1,480 views54 reactionsread 16 October 2026
Forwarded from @luoyenb521

CFM公益内核已更新 本次更新内容: 1.对接天堂驱动 2.对接dev驱动 3.适配全图PhysX模型漏打 4.增强隐藏性 CFM下载链接: https://pan.xunlei.com/s/VP3uA_WCVxasGQumAUaDTc6bA1?pwd=ahd6 瓦手公益内核正在更新 请稍等

👍51❤2🤔1

15 Oct 2026, 12:18 UTC558 views41 reactionsread 15 October 2026

❤️『白鸽三角洲公益算法解密』 2026年10月11日 😝🙃😜🤨😜🟰😝🙃😜🤨😜 全网NO.😃三角洲UDP解密,纯镜像抓包,不修改游戏任何内核;不闪框不漏人不遁地 😂白鸽三角洲公益UDP解密😂 💎更新内容: - 修复部分用户解密失效-一字快 - 修复部分用户自瞄失效-一字准 -全网独家配置视角追踪-一字狠 - 适配各种解密失效问题-一字稳 🎮目前解密可正常使用。如果出现无效果的情况,请先检查驱动、解密方案及相关设置是否选择正确。 公益频道:@BGGYJM 不禁言交流群: https://t.me/BGGYJM1 🕠公益三角洲全网最快-最安全-最简便解密-不是州中无真爱,是不用白鸽真坏菜。点我直接跳转大频道

👍41

15 Oct 2026, 00:20 UTC≈3,770 views21 reactionsread 18 October 2026

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👍18❤3

14 Oct 2026, 18:01 UTC459 views30 reactionsread 15 October 2026
Forwarded from @luoyenb521File

❤️三角洲落叶公益算法解密内核 解决解密无效效果问题 如果掩体无效果请将模型文件导入 模型跳转 😙使用辅助前先执行驱动 否则解密无效 解密没效果解决办法: 大退游戏重新打开 对局内开解密下飞机之后等人物都刷新出来几秒别多点 解密不要保存配置 遇到卡屏打1-2把就关掉辅助重新打开也行 如果遇到漏人问题点清理缓存即可 公益解密卡密: luoyenb521 ❗️❗️➡️点我加入官方频道 ❗️❗️➡️点我加入官方群组

👍28❤2

Showing the 12 most recent of 153 posts we hold for @TwT_update. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts edited after publishing

@TwT_update edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
16 August 2026
Most recent edit
8 October 2026

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 10 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 18 October 2026 — this entry's latest reading, not the date you are reading this.

“TwT无蛤蟆广更新频道” (@TwT_update), 25,917 subscribers as measured 18 October 2026. Telegram Register, tgregister.com/channel/TwT_update.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.