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Channel

西安宝可梦老师图鉴

@BKMLS_029

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

44,567subscribers

+10,082 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003608850208
TypeChannel
Username@BKMLS_029
Description🛰 【西安宝可梦老师图鉴】 西安宝可梦官方认证,西安最全、最真实的老师资源情报站。 ⚡️ 属性:本土实测 / 高频更新 / 深度排雷 🔍 导航: ├ 📝 工兵计划: @BKMGB_029 ├ 🏆 晋升名人堂: @BKMHOF_029 └ ⚔️ 对战评论区: @BKMCP_029 ⚠️ 警告:本所禁止定金、预付等诈骗行为。 📩 投稿/入榜: @BKM_pkq_bot 🎮 训练家主群: @BKM_029
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 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/BKMLS_029

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 80% 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

34,48544,56739,5267 August 2026 — 34,485 subscribers7 August 2026 — 34,485 subscribers8 August 2026 — 34,696 subscribers9 August 2026 — 34,801 subscribers10 August 2026 — 34,963 subscribers11 August 2026 — 35,129 subscribers12 August 2026 — 35,371 subscribers14 August 2026 — 35,850 subscribers15 August 2026 — 36,277 subscribers16 August 2026 — 36,545 subscribers17 August 2026 — 36,854 subscribers18 August 2026 — 37,098 subscribers19 August 2026 — 37,388 subscribers20 August 2026 — 37,790 subscribers21 August 2026 — 38,132 subscribers23 August 2026 — 38,771 subscribers24 August 2026 — 39,071 subscribers25 August 2026 — 39,328 subscribers26 August 2026 — 39,511 subscribers27 August 2026 — 39,795 subscribers28 August 2026 — 39,932 subscribers29 August 2026 — 40,157 subscribers30 August 2026 — 40,459 subscribers1 September 2026 — 40,677 subscribers2 September 2026 — 40,936 subscribers3 September 2026 — 41,164 subscribers4 September 2026 — 41,371 subscribers7 September 2026 — 42,034 subscribers10 September 2026 — 43,087 subscribers13 September 2026 — 43,148 subscribers14 September 2026 — 43,387 subscribers16 September 2026 — 43,800 subscribers18 September 2026 — 44,567 subscribers7 August 202618 September 2026
33 measurements spanning 42 days, net +10,082. 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 32,973–46,079 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 12:4144,567+767
16 Sept 2026, 08:0043,800+413
14 Sept 2026, 12:0143,387+239
13 Sept 2026, 01:3943,148+61
10 Sept 2026, 23:5943,087+1,053
7 Sept 2026, 21:3942,034+663
4 Sept 2026, 23:5841,371+207
3 Sept 2026, 09:2741,164+228
2 Sept 2026, 04:4240,936+259
1 Sept 2026, 01:4840,677+218
30 Aug 2026, 22:5740,459+302
29 Aug 2026, 20:4340,157+225
28 Aug 2026, 23:0839,932+137
27 Aug 2026, 22:2439,795+284
26 Aug 2026, 20:4839,511+183
25 Aug 2026, 19:0339,328+257
24 Aug 2026, 18:2239,071+300
23 Aug 2026, 05:1238,771+639
21 Aug 2026, 19:5638,132+342
20 Aug 2026, 17:2737,790first reading

Engagement

102 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 81 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.04%
avg views ÷ 44,567 subscribers
Avg views / post
911
76 posts measured
Reaction rate
0.118%
reactions ÷ views · ER floor
Posts in window
76
of 102 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. It is computed over the 43 of 76 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 18 September 2026
Posts held102 (6 August 202618 September 2026)
Views total69,230
Reactions total52
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken19 Sept 2026, 08:29 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
556
Videos
67
Links
112

Lifetime counters from Telegram’s own channel header, read 19 September 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
8m 49s
Average length
10s

Measured directly from 53 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

78 reactions across 46 posts, in 3 distinct kinds. The most used accounts for 94.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7494.9%
👏22.56%
😨22.56%

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 61 of the 102 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 78 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 102 most recent posts we hold, published 6 August 2026 to 18 September 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 Sept 2026, 12:58 UTC848 viewsread 19 September 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 🗂西安宝可梦老师图鉴认证🗂 👾 宝可梦代号:#绾绾 📍 捕获地点:#雁塔区 💰 对战费用:#500P|900PP 🕸️ 捕捉方式: ├ 电报:@wanwan521wan ├ 微信:暂无 ├ QQ:暂无 └ 与你:暂无 🛡 属性/服务: ├ 属性:26|165|46|36C └ 服务:#陪洗 #漫游 #胸推 #臀推 #乳交 #制服 #冰火 #口爆 #可69 #舌吻 #按摩 #丝袜 #海底捞月 #毒龙 🏷️ 综合标签: #雁塔区 #高新 #情人感 #LV500 #服务系 #楼凤 🔮 西安宝可梦: @BKM_029

18 Sept 2026, 12:53 UTC830 viewsread 19 September 2026
Photo

📊 4条车评,综合分 8.7 好评 100% | 人照 8.4 | 服务 9.1 中评 0% | 颜值 8.4 | 态度 9.1 差评 0% | 身材 8.6 | 环境 8.9 👆 【点击查看评价】 🗂西安宝可梦老师图鉴认证🗂 👾 宝可梦代号:#貂蝉 📍 捕获地点:#雁塔区 💰 对战费用:#600P|1100PP 🕸️ 捕捉方式: ├ 电报:@diaochan52 ├ 微信:暂无 ├ QQ:暂无 └ 与你:暂无 🛡 属性/服务: ├ 属性:22|166|45|36B └ 服务:#陪洗 #胸推 #漫游 #制服 #水中萧 #冰火 #按摩 #丝袜 🏷️ 综合标签: #雁塔区 #高新 #女友感 #LV700 #服务系 #楼凤 🔮 西安宝可梦: @BKM_029

18 Sept 2026, 09:07 UTC922 views2 reactionsread 19 September 2026
Photo

📊 1条车评,综合分 7.8 好评 100% | 人照 7.0 | 服务 8.0 中评 0% | 颜值 7.0 | 态度 9.0 差评 0% | 身材 8.0 | 环境 8.0 👆 【点击查看评价】 🗂西安宝可梦老师图鉴认证🗂 👾 宝可梦代号:#温暖 📍 捕获地点:#雁塔区 💰 对战费用:#600P|1200PP 🕸️ 捕捉方式: ├ 电报:@wennuan008 ├ 微信:暂无 ├ QQ:暂无 └ 与你:暂无 🛡 属性/服务: ├ 属性:25|170|55|36C └ 服务:#陪洗 #水中萧 #制服 #可69 #舌吻 #按摩 #丝袜 #足交 🏷️ 综合标签: #雁塔区 #高新 #情人感 #LV600 #感觉系 #楼凤 🔮 西安宝可梦: @BKM_029

2

17 Sept 2026, 09:15 UTC921 views1 reactionsread 18 September 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 🗂西安宝可梦老师图鉴认证🗂 👾 宝可梦代号:#果果 📍 捕获地点:#未央区 💰 对战费用:#500P|1000PP 🕸️ 捕捉方式: ├ 电报:@guoguo12135 ├ 微信:暂无 ├ QQ:暂无 └ 与你:暂无 🛡 属性/服务: ├ 属性:24|165|49|36C └ 服务:#陪洗 #水中萧 #制服 #可69 #臀推 #胸推 #按摩 #丝袜 #毒龙 🏷️ 综合标签: #未央区 #凤五 #情人感 #LV500 #服务系 #楼凤 🔮 西安宝可梦: @BKM_029

1

17 Sept 2026, 06:18 UTC943 viewsread 18 September 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_2039572428

17 Sept 2026, 06:18 UTC963 views2 reactionsread 18 September 2026
Photo

📊 3条车评,综合分 8.7 好评 33% | 人照 8.2 | 服务 9.0 中评 67% | 颜值 8.0 | 态度 9.0 差评 0% | 身材 8.8 | 环境 9.0 👆 【点击查看评价】 🗂西安宝可梦老师图鉴认证🗂 👾 宝可梦代号:#小玉 📍 捕获地点:#未央区 💰 对战费用:#600p #1000pp 🕸️ 捕捉方式: ├ 电报:@xiaoyu8853 ├ 微信:暂无 ├ QQ:暂无 └ 与你:暂无 🛡 属性/服务: ├ 属性:18|163|43|36C └ 服务:#水中萧 #制服 #可69 #舌吻 #按摩 #丝袜 #角色扮演 🏷️ 综合标签: #未央区 #百花村 #女友感 #LV600 #感觉系 #楼凤 🔮 西安宝可梦: @BKM_029

2

16 Sept 2026, 11:52 UTC≈2,720 views2 reactionsread 18 September 2026
Photo

📊 8条车评,综合分 9.1 好评 100% | 人照 9.1 | 服务 9.1 中评 0% | 颜值 9.1 | 态度 9.3 差评 0% | 身材 8.9 | 环境 8.9 👆 【点击查看评价】 🗂西安宝可梦老师图鉴认证🗂 👾 宝可梦代号:#南嫣 📍 捕获地点:#雁塔区 💰 对战费用:#600P|1000PP 🕸 捕捉方式: ├ 电报:@nanyanyy ├ 微信:暂无 ├ QQ:暂无 └ 与你:暂无 🛡 属性/服务: ├ 属性:25|163|49|36C └ 服务:#陪洗 #胸推 #漫游 #制服 #可69 #按摩 #丝袜 🏷 综合标签: #雁塔区 #高新 #情人感 #LV600 #感觉系 #楼凤 🔮 西安宝可梦: @BKM_029

2

14 Sept 2026, 14:39 UTC602 viewsread 15 September 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 🗂西安宝可梦老师图鉴认证🗂 👾 宝可梦代号:#小米拉 📍 捕获地点:#未央区 💰 对战费用:#500P|900PP 🕸 捕捉方式: ├ 电报:@ouyangok ├ 微信:暂无 ├ QQ:暂无 └ 与你:暂无 🛡 属性/服务: ├ 属性:22|163|43|34B └ 服务:#陪洗 #水中萧 #制服 #可69 #舌吻 #口爆 #按摩 #丝袜 #毒龙 🏷 综合标签: #未央区 #龙首原 #LV500 #服务系 #楼凤 🔮 西安宝可梦: @BKM_029

14 Sept 2026, 09:07 UTC798 viewsread 15 September 2026
Photo

📊 1条车评,综合分 7.8 好评 0% | 人照 9.0 | 服务 6.0 中评 100% | 颜值 8.0 | 态度 8.0 差评 0% | 身材 8.0 | 环境 8.0 👆 【点击查看评价】 🗂西安宝可梦老师图鉴认证🗂 👾 宝可梦代号:#康小欠 📍 捕获地点:#雁塔区 💰 对战费用:#700P|1200PP 🕸 捕捉方式: ├ 电报:@kangxiaoqian2 ├ 微信:暂无 ├ QQ:暂无 └ 与你:暂无 🛡 属性/服务: ├ 属性:23|165|50|36E └ 服务:#陪洗 #胸推 #漫游 #水中萧 #制服 #可69 #口爆 #乳交 #按摩 #丝袜 #毒龙 🏷 综合标签: #雁塔区 #高新 #LV700 #服务系 #楼凤 🔮 西安宝可梦: @BKM_029

14 Sept 2026, 07:31 UTC845 viewsread 15 September 2026
Photo

📊 1条车评,综合分 9.8 好评 100% | 人照 10.0 | 服务 10.0 中评 0% | 颜值 10.0 | 态度 10.0 差评 0% | 身材 10.0 | 环境 9.0 👆 【点击查看评价】 🗂西安宝可梦老师图鉴认证🗂 👾 宝可梦代号:#妮妮 📍 捕获地点:#碑林区 💰 对战费用:#300P|600PP 🕸 捕捉方式: ├ 电报:@xanini521 ├ 微信:暂无 ├ QQ:暂无 └ 与你:nini666999 🛡 属性/服务: ├ 属性:25|170|48|36B └ 服务:#漫游 #胸推 #深喉 #口爆 #按摩 #丝袜 🏷 综合标签: #碑林区 #南稍门 #情人感 #LV300 #服务系 #楼凤 🔮 西安宝可梦: @BKM_029

14 Sept 2026, 07:25 UTC820 viewsread 15 September 2026
Photo

🗂西安宝可梦老师图鉴认证🗂 👾 宝可梦代号:#小可 📍 捕获地点:#莲湖区 💰 对战费用:#400P|600PP 🕸️ 捕捉方式: ├ 电报:@kekezi666 ├ 微信:暂无 ├ QQ:暂无 └ 与你:暂无 🛡 属性/服务: ├ 属性:18|165|50|36C └ 服务:#制服 #丝袜 🏷️ 综合标签: #莲湖区 #红庙坡 #女友感 #LV400 #感觉系 #楼凤 🔮 西安宝可梦: @BKM_029

13 Sept 2026, 06:42 UTC986 views1 reactionsread 14 September 2026
Photo

📊 1条车评,综合分 9.0 好评 100% | 人照 10.0 | 服务 10.0 中评 0% | 颜值 9.0 | 态度 10.0 差评 0% | 身材 8.0 | 环境 7.0 👆 【点击查看评价】 🗂西安宝可梦老师图鉴认证🗂 👾 宝可梦代号:#依诺抓龙筋 📍 捕获地点:#未央区 💰 对战费用:#400项目|600项目|800项目 🕸 捕捉方式: ├ 电报:@xa1118 ├ 微信:sjwh6151 ├ QQ:暂无 └ 与你:暂无 🛡 属性/服务: ├ 属性:???|???|???|??? └ 服务:#前列腺保养 #精油Spa #抓龙筋 #按摩 #丝足 #经络放松 🏷 综合标签: #未央区 #余家寨 #LV400 #服务系 #抓龙筋 🔮 西安宝可梦: @BKM_029

1

Showing the 12 most recent of 102 posts we hold for @BKMLS_029. 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

@BKMLS_029 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
8 September 2026
Most recent edit
8 September 2026

Mentions

Named by 13 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.

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.

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

“西安宝可梦老师图鉴” (@BKMLS_029), 44,567 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/BKMLS_029.

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.