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Channel

西安忒色大学修车榜

@XiAn_tese01

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

121,700subscribers

+53,506 since we began measuring on 16 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1002284377504
TypeChannel
Username@XiAn_tese01
Description西安忒色修车大学群: @XianTese 西安忒色修车榜单: @XiAn_tese01 联系管理: @XiAnjiedao_bot
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded16 August 2026
Last confirmed live7 November 2026
Measurements held53
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/XiAn_tese01

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 61% 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 the other topics.

Growth

68,194121,70094,94716 August 2026 — 68,194 subscribers17 August 2026 — 68,831 subscribers18 August 2026 — 69,373 subscribers19 August 2026 — 69,842 subscribers20 August 2026 — 70,539 subscribers21 August 2026 — 71,252 subscribers22 August 2026 — 72,179 subscribers24 August 2026 — 72,867 subscribers25 August 2026 — 73,285 subscribers26 August 2026 — 73,815 subscribers27 August 2026 — 74,557 subscribers28 August 2026 — 75,020 subscribers29 August 2026 — 75,708 subscribers30 August 2026 — 76,198 subscribers31 August 2026 — 76,788 subscribers1 September 2026 — 77,291 subscribers2 September 2026 — 77,987 subscribers3 September 2026 — 78,518 subscribers6 September 2026 — 79,757 subscribers9 September 2026 — 82,020 subscribers12 September 2026 — 83,434 subscribers13 September 2026 — 84,178 subscribers15 September 2026 — 85,110 subscribers17 September 2026 — 86,309 subscribers25 September 2026 — 91,573 subscribers4 October 2026 — 97,736 subscribers8 October 2026 — 100,357 subscribers13 October 2026 — 104,139 subscribers14 October 2026 — 105,320 subscribers15 October 2026 — 106,132 subscribers16 October 2026 — 107,274 subscribers17 October 2026 — 108,036 subscribers18 October 2026 — 108,791 subscribers19 October 2026 — 109,454 subscribers20 October 2026 — 110,225 subscribers21 October 2026 — 111,168 subscribers22 October 2026 — 111,881 subscribers23 October 2026 — 112,395 subscribers24 October 2026 — 112,953 subscribers25 October 2026 — 113,713 subscribers26 October 2026 — 114,256 subscribers27 October 2026 — 114,595 subscribers28 October 2026 — 115,536 subscribers29 October 2026 — 116,391 subscribers30 October 2026 — 116,809 subscribers31 October 2026 — 117,408 subscribers1 November 2026 — 117,851 subscribers2 November 2026 — 118,846 subscribers3 November 2026 — 119,518 subscribers4 November 2026 — 120,321 subscribers5 November 2026 — 121,179 subscribers6 November 2026 — 121,564 subscribers7 November 2026 — 121,700 subscribers16 August 20267 November 2026
53 measurements spanning 84 days, net +53,506. 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 60,168–129,726 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 53
Measured (UTC)SubscribersChange
7 Nov 2026, 16:45121,700+136
6 Nov 2026, 18:37121,564+385
5 Nov 2026, 16:36121,179+858
4 Nov 2026, 14:56120,321+803
3 Nov 2026, 15:05119,518+672
2 Nov 2026, 12:28118,846+995
1 Nov 2026, 11:46117,851+443
31 Oct 2026, 14:30117,408+599
30 Oct 2026, 11:31116,809+418
29 Oct 2026, 11:50116,391+855
28 Oct 2026, 07:46115,536+941
27 Oct 2026, 09:28114,595+339
26 Oct 2026, 12:27114,256+543
25 Oct 2026, 12:56113,713+760
24 Oct 2026, 14:38112,953+558
23 Oct 2026, 15:06112,395+514
22 Oct 2026, 18:37111,881+713
21 Oct 2026, 16:46111,168+943
20 Oct 2026, 11:45110,225+771
19 Oct 2026, 10:26109,454first reading

Engagement

199 posts held, back to 14 August 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 166 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.28%
avg views ÷ 121,700 subscribers
Avg views / post
1,560
73 posts measured
Reaction rate
2.22%
reactions ÷ views · ER floor
Posts in window
73
of 199 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 7 November 2026
Posts held199 (14 August 2026 – 7 November 2026)
Views total114,089
Reactions total2,528
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 18:25 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

Photos
806
Videos
102
Links
203

Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
14m 59s
Average length
11s

Measured directly from 85 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

6,920 reactions across 197 posts, in 18 distinct kinds. The most used accounts for 21.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,51321.9%
👍1,30918.9%
🔥1,29318.7%
🎉1,25818.2%
😁1,10215.9%
❤‍🔥801.16%
😍801.16%
💯771.11%
🤩731.05%
🥰711.03%
👎140.202%
🍌120.173%
👏120.173%
👌110.159%
💩80.116%
💔40.058%
🤡20.029%
🌭10.014%

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 197 of the 199 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 6,920 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 199 most recent posts we hold, published 14 August 2026 to 7 November 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

Telegram’s own ‘edited’ marker: 3 of 73 posts held from the last 30 days (4.11%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

7 Nov 2026, 09:02 UTC775 views31 reactionsread 7 November 2026
Video

🎖西安 全城洗浴 会所 普通 中 高端外围 洋酒外模 自带工作室 商K 8年从业经验,做一单生意交一个朋友,不宰客不杀熟,问价就是最低价,无套路,会所群友有额外优惠价,欢迎咨询。 洗浴外围优选: @sh88869 ✅认准苏禾 不踩坑 ✅安全靠谱 保驾护航 💎西安全城外围上门嫩妹洗浴优选 💎西安洗浴会所大全95/98 💎西安娱乐金牌经理苏禾 #上门 #外围 #洗浴 #自带 #商K #洋酒 💎温馨提示:未在群内榜单,主动私聊你的都是骗子,谨防群友上当受骗。

❤6❤‍🔥5💯5👍4🔥4😍4🤩2🥰1

7 Nov 2026, 08:28 UTC775 views32 reactionsread 7 November 2026
Photo

📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅忒色修车大学认证老师 美女昵称: #朵儿 所在地区: #莲湖区 收费价格: #300p #600pp 联系方式: @ss12691 双向联系:@duoer91n_bot 忒色标签:#六九 #舌吻 #毒龙 📃 车评投稿 🤖️ 联系管理 👉 进入大群

❤10😍5💯4🤩4🎉3🔥3🥰2❤‍🔥1

7 Nov 2026, 06:13 UTC942 views34 reactionsread 7 November 2026
Photo

📊 11条车评,综合分 9.3 好评 100% | 人照 9.2 | 服务 9.5 中评 0% | 颜值 9.3 | 态度 9.3 差评 0% | 身材 9.4 | 环境 9.0 👆 【点击查看评价】 ✅西安忒色大街认证老师 美女昵称: #小柚子 所在地区: #未央区 收费价格: #600p #1000pp 联系方式: @ranran55883 双向联系:@ranranquan_bot 忒色标签:#嫩妹 #舌吻 #六九 📃 车评投稿 🤖️ 联系管理 👉 进入大群

💯7❤6❤‍🔥6🥰5🎉3👍3🤩2😍2

6 Nov 2026, 09:33 UTC≈1,600 views36 reactionsread 7 November 2026
Photo

📊 2条车评,综合分 7.1 好评 50% | 人照 7.2 | 服务 7.1 中评 50% | 颜值 7.0 | 态度 7.2 差评 0% | 身材 7.0 | 环境 7.2 👆 【点击查看评价】 ✅忒色修车大学认证老师 美女昵称: #玲儿 所在地区: #碑林区 收费价格: #400p #700pp 联系方式: @tt6123 双向联系:@tthellp_bot 忒色标签:#全套 #六九 #毒龙 📃 车评投稿 🤖️ 联系管理 👉 进入大群

❤11💯5🎉4🔥4🥰3😍3❤‍🔥2👍2

6 Nov 2026, 05:11 UTC≈1,680 views37 reactionsread 7 November 2026
Photo

📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅忒色修车大学认证老师 美女昵称: #雨惜 所在地区: #碑林区 收费价格: #400p #700pp 联系方式: @yuxi01001 双向联系: 忒色标签:#全套 #毒龙 #口爆 📃 车评投稿 🤖️ 联系管理 👉 进入大群

🤩7🔥6🥰5❤4❤‍🔥4😍4🎉3👍2

4 Nov 2026, 12:15 UTC≈2,280 views3 reactionsread 7 November 2026
Photo

📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅忒色修车大学认证老师 美女昵称: #时月 所在地区: #未央区 收费价格: #400p 联系方式: @zzbb88_m 双向联系:@shiyue520_bot 忒色标签:#舌吻 #六九 #全套 📃 车评投稿 🤖️ 联系管理 👉 进入大群

❤3

4 Nov 2026, 06:02 UTC≈2,150 views35 reactionsread 6 November 2026
Photo

📊 2条车评,综合分 9.8 好评 100% | 人照 9.5 | 服务 10.0 中评 0% | 颜值 10.0 | 态度 10.0 差评 0% | 身材 9.5 | 环境 9.5 👆 【点击查看评价】 ✅忒色修车大学认证老师 美女昵称: #糕(🉑上门) 所在地区: #未央区 收费价格: #700p #1300pp 联系方式: @gao156456 双向联系:@gaodv25466_bot 忒色标签:#六九 #上门 📃 车评投稿 🤖️ 联系管理 👉 进入大群

👍7🎉6❤5💯5🔥3🤩3😍3❤‍🔥2

4 Nov 2026, 04:16 UTC≈1,730 views33 reactionsread 6 November 2026
Photo

📊 1条车评,综合分 9.5 好评 100% | 人照 9.0 | 服务 10.0 中评 0% | 颜值 9.0 | 态度 9.0 差评 0% | 身材 10.0 | 环境 10.0 👆 【点击查看评价】 ✅忒色修车大学认证老师 美女昵称: #丁丁猫 所在地区: #碑林区 收费价格: #500p #900pp 联系方式: @lingling202611 双向联系:@lingling225_bot 忒色标签:#舌吻 #毒龙 #口爆 📃 车评投稿 🤖️ 联系管理 👉 进入大群

❤7😍6🎉5🤩4👍3🔥3🥰3❤‍🔥2

3 Nov 2026, 10:02 UTC≈2,090 views11 reactionsread 5 November 2026
Photo

📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅忒色修车大学认证老师 美女昵称: #王依 所在地区: #莲湖区 收费价格: #600p #1000pp 联系方式: @kugg806 双向联系:@wangyiletbot 忒色标签:#嫩妹 #舌吻 #六九 📃 车评投稿 🤖️ 联系管理 👉 进入大群

❤‍🔥3❤2💯2😍2🎉1🔥1

3 Nov 2026, 10:00 UTC≈1,200 views30 reactionsread 4 November 2026

小允允老师:https://t.me/XiAn_tese01/4842 优惠时间:11月2日-11月4日 优惠金额:优惠一张 娜娜老师: https://t.me/XiAn_tese01/4618 优惠时间:11.3号—11.6号 优惠金额:优惠1张

🎉7❤‍🔥5🥰4❤3💯3🔥3👍2😍2

3 Nov 2026, 09:59 UTC≈1,180 views31 reactionsread 4 November 2026
Video

📱📱📱📱📱📱📱📱📱📱📱📱📱📱📱📱 通知📱📱📱📱📱📱 🐴各位老铁🐴,即日起,介绍朋友,最高可免费,玩一次9️⃣8️⃣的项目。甜甜做人有德,做事有品,信誉如命。🥐🥐🥐 机器人🤖: @tiantian006bot 📱📱📱📱 飞机号: @dhshdhisu 🧂🏀🏈🥎🥎🎾🏐

🔥7❤6🤩4🥰4😍4❤‍🔥2👍2🎉1

2 Nov 2026, 13:01 UTC≈1,920 views24 reactionsread 4 November 2026
Photo

📊 3条车评,综合分 9.4 好评 100% | 人照 9.3 | 服务 9.5 中评 0% | 颜值 9.2 | 态度 9.5 差评 0% | 身材 9.6 | 环境 9.0 👆 【点击查看评价】 ✅忒色修车大学认证老师 美女昵称: #丫头 所在地区: #未央区 收费价格: #1000p 联系方式: @yatoubao 双向联系:@yatouyaya_bot 忒色标签:#全套 #口爆 📃 车评投稿 🤖️ 联系管理 👉 进入大群

🤩6❤3🔥3🥰3❤‍🔥2💯2😍2👍1

Showing the 12 most recent of 199 posts we hold for @XiAn_tese01. 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

@XiAn_tese01 edited 1 post 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
5 October 2026
Most recent edit
5 October 2026

Mentions

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.

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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“西安忒色大学修车榜” (@XiAn_tese01), 121,700 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/XiAn_tese01.

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.