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Telegram profile photo for 辅助就业

Channel

辅助就业

@taiyang1233211

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

99subscribers

+64 since we began measuring on 1 October 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004495227083
TypeChannel
Username@taiyang1233211
Created1 October 2026 — measured — dated from the channel’s first post
First recorded1 October 2026
Last confirmed live6 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 6 October 2026
On Telegramt.me/taiyang1233211

Growth

3599671 October 2026 — 35 subscribers1 October 2026 — 35 subscribers6 October 2026 — 99 subscribers1 October 20266 October 2026
3 measurements spanning 5 days, net +64. 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 25–109 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Oct 2026, 03:5899+64
1 Oct 2026, 13:2235no change
1 Oct 2026, 12:4735first reading

Engagement

4 posts held, back to 1 October 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
134.3%
avg views ÷ 99 subscribers
Avg views / post
133
2 posts measured
Reaction rate
0.758%
reactions ÷ views · ER floor
Posts in window
4
of 4 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 1 of 2 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 1 October 2026
Posts held4 (1 October 2026 – 1 October 2026)
Views total266
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Oct 2026, 13:22 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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 1 of the 4 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 4 most recent posts we hold, published 1 October 2026 to 1 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

1 Oct 2026, 06:41 UTCviews —

辅助就业 pinned «【就业辅助服务】 只做:央企,国企,优质私企【大厂企业,非中小公司】 对口岗位匹配,私企不卡学历门槛 服务费 央国企方向 10000r 起 私企方向 5000r起 对口岗位服务费可谈,根据匹配度和最终薪资综合确定 全部是以内推形式进岗,无经验也可以,但需参与培训 上岗后有人带 编制类,必须参与考试,但我们可以辅助你通关,条件必须 18-38周岁且必须大专以上,岗位随机例如 民警,法院/检察院 助理,消防员 ,地点随机,不一定缺人 需要咨询我们 非编制类,无需考试,不限学历 咨询流程: …»

1 Oct 2026, 06:41 UTC132 views1 reactionsread 1 October 2026

【就业辅助服务】 只做:央企,国企,优质私企【大厂企业,非中小公司】 对口岗位匹配,私企不卡学历门槛 服务费 央国企方向 10000r 起 私企方向 5000r起 对口岗位服务费可谈,根据匹配度和最终薪资综合确定 全部是以内推形式进岗,无经验也可以,但需参与培训 上岗后有人带 编制类,必须参与考试,但我们可以辅助你通关,条件必须 18-38周岁且必须大专以上,岗位随机例如 民警,法院/检察院 助理,消防员 ,地点随机,不一定缺人 需要咨询我们 非编制类,无需考试,不限学历 咨询流程: 先发简历,我们看下是否满足门槛,再谈费用和时间,部分岗位需要面试 走流程 找工作必须写明你的期望,地点,薪资待遇等,我们尽可能按照你的期望来找 付费一律先付,以offer为准,给我们的简历必须确保没有包装的真实简历,需要优化我们会提前和你说,不要自行优化和包装尤其是学历这种,否则影响入职,如果入职查到简历虚假,学历造假,一律…

❤1

Showing the 4 most recent of 4 posts we hold for @taiyang1233211. 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.

Mentions

Named by 5 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 6 October 2026 — this entry's latest reading, not the date you are reading this.

“辅助就业” (@taiyang1233211), 99 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/taiyang1233211.

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.