⭐️ 主频道 👙骚妹档案馆 🫦网友投稿档案馆 💋 推特福利姬档案馆 🏖 反差母狗曝光 为能及时回复大家,私信我可以先在群里@我!!欢迎@我😁
❤2👍1🔥1

Channel
@wytg1
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3,446subscribers
+325 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1003980596412 |
|---|---|
| Type | Channel |
| Username | @wytg1 |
| Created | Between 1 April 2026 and 26 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 26 August 2026 |
| On Telegram | t.me/wytg1 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Aug 2026, 17:47 | 3,446 | +52 |
| 23 Aug 2026, 22:04 | 3,394 | +75 |
| 20 Aug 2026, 16:17 | 3,319 | +18 |
| 17 Aug 2026, 18:36 | 3,301 | +48 |
| 14 Aug 2026, 16:58 | 3,253 | +50 |
| 11 Aug 2026, 14:12 | 3,203 | +72 |
| 8 Aug 2026, 06:51 | 3,131 | +10 |
| 7 Aug 2026, 20:02 | 3,121 | no change |
| 7 Aug 2026, 19:46 | 3,121 | first reading |
11 posts held, back to 26 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 29 July 2026 |
|---|---|
| Posts held | 11 (26 July 2026 – 29 July 2026) |
| Views total | 10,070 |
| Reactions total | 26 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 20:02 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.
Measured directly from 1 video 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.
53 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 47.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 25 | 47.2% | |
| 👍 | 13 | 24.5% | |
| 🔥 | 8 | 15.1% | |
| 👎 | 6 | 11.3% | |
| 🥰 | 1 | 1.89% |
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 11 of the 11 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 53reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 26 July 2026 to 29 July 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.
⭐️ 主频道 👙骚妹档案馆 🫦网友投稿档案馆 💋 推特福利姬档案馆 🏖 反差母狗曝光 为能及时回复大家,私信我可以先在群里@我!!欢迎@我😁
❤2👍1🔥1
📸 【投稿 #200】 第一次约炮选在深夜。她到得比我早,已经坐在床边玩手机。 见面后她直接问“要不要先做?”我愣了一下,点头。脱衣服的过程很快,她的身体在冷气下微微发抖。我进入时她皱了皱眉,却没喊停。后来她开始主动迎合,手指在我背上留下痕迹。结束后她穿好衣服,整理头发,说“下次如果还有,可以再约”。 那晚我第一次体会到约炮的干脆与余韵。 #口交 #蒙眼 #后入 #捆绑
❤4👍2🔥1🥰1
📸 【投稿 #199】 网上聊了两周才见面。她很直接,进门就说“别废话”。 可真正脱衣服的时候又害羞得不行。灯光有点暗,她的身体比想象中柔软。我第一次认真看一个女人的全部,心跳得厉害。进去时她咬着嘴唇,眼神却一直看着我。中途她突然抱紧我,声音发颤。完事后她靠在床头抽烟,说“第一次约人,感觉还行”。 我坐在旁边,突然觉得这个夜晚比任何电影都真实。 #磨豆 #黑丝 #后入 #女上
❤5👍1🔥1
📸 【投稿 #198】 约在她附近的快捷酒店。见面时她比我还紧张,说话都结巴。 进房间后谁也不敢先动,最后是我先吻了她。她回应得很轻,像怕弄出声音。脱衣服时发现她穿了浅色的内衣,意外地好看。真正开始后她一直闭着眼,偶尔发出很小的声音。我放慢速度,她才慢慢放松,手指抓紧了床单。 结束时她把脸埋在我胸口,小声说“第一次约炮……没想到是这样”。那晚我几乎没睡着。 #调教 #后入 #口交
❤1👍1👎1🔥1
📸 【投稿 #197】 她比我小两岁,聊天时总是很活泼,见面却安静了许多。 酒店里她先去洗澡,出来时头发还湿着。我过去帮她擦,手碰到肩膀时她轻轻抖了一下。做爱的过程意外地温柔。她一直看着我的眼睛,偶尔闭眼轻喘。中途她主动吻我,吻得又深又软。完事后她把脸贴在我胸口,说“第一次约炮……比想象中好”。 我没说话,只是顺着她的头发。 #镜前 #后入 #黑丝 #自拍
❤1👍1🔥1
📸 【投稿 #196】 电影院最后一排,灯光暗下来我把手伸进她裙子。 她夹紧腿,我更用力地揉。中途我们几乎没看懂电影,只记得我的手指在里面搅动。散场后我拉着她进卫生间,反锁门就把她抵在墙上,从后面直接进入。 隔间外有脚步声,她咬着手背忍住声音。 #口交 #后入 #卫生间 #蕾丝
❤3👍1🔥1
📸 【投稿 #195】 约她去游泳,在外面的独立洗手间等她。刚进去我就反锁门,把她压在洗手盆上吻。 泳装被我扯到一边,手指直接插进来。怕有人进来,我加快速度,另一只手捂住她的嘴。 出来时她腿还在软,我若无其事地拉着她去泳池。 #口交 #后入 #洗手间 #翘臀
❤3👍1👎1
📸 【投稿 #194】 吃饭时我就一直盯着她,结账后直接拉着她进酒店。 电梯里我贴着她的耳朵说:“今晚要内射。”进房间衣服扯得乱七八糟,我跪在她双腿间把她舔到发抖,才换上自己的东西整根没入。 她抓着床单哭着叫,我咬着她的耳朵说:“再夹紧一点。” #黑丝 #女上 #后入 #骑乘
❤3👍2🔥2
📸 【投稿 #192】 我约她到家里看电影,电影只开了十分钟。沙发上我让她趴着,从后面慢慢顶进去。 她抓着靠垫,我故意放慢速度,每一下都又深又重。做到一半我伸手到前面揉,逼得她叫出声。 最后射在里面,压着她不让动,说:“再含一会儿。 #射脸上 #口交 #镜前 #抱操
❤1👍1👎1
📸 【投稿 #191】 直播间刷到的粉丝妹,私信约见面。 她穿制服,我角色扮演老师操学生。干得她叫“老师好猛”,最后射她嘴里, 这次角色扮演约炮很成功。 #黑丝 #口交 #翘臀 #掐脖
❤1👍1👎1
📸 【投稿 #190】 咖啡店打工妹下班我接走。 出租屋里我把她操到床上,她主动张腿求插。我猛干到她高潮连连,射满骚穴后她说每天都想被这样操, 这次打工妹约炮成功。 #大奶 #后入 #口交
👎2❤1👍1
Showing the 11 most recent of 11 posts we hold for @wytg1. 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.
Citation-graph rank — 250,935 of 1,620,455entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 3 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 26 August 2026 — this entry's latest reading, not the date you are reading this.
“网友投稿档案馆” (@wytg1), 3,446 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/wytg1.
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.