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Channel

Learn Chinese step by step

@learnChinesestepbystep

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry

13,066subscribers

+0 since we began measuring on 7 September 2026

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

Register entry

Telegram ID-1001467333639
TypeChannel
Username@learnChinesestepbystep
DescriptionLearn Chinese step by step and improve your Chinese skills
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 September 2026
Last confirmed live7 September 2026
Measurements held2
On Telegramt.me/learnChinesestepbystep

Growth

13,0667 Sept 2026, 06:47 — 13,066 subscribers7 Sept 2026, 07:22 — 13,066 subscribers7 Sept 2026, 06:477 Sept 2026, 07:22
2 measurements taken within a single day. 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 13,053–13,079 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Sept 2026, 07:2213,066no change
7 Sept 2026, 06:4713,066first reading

Engagement

20 posts held, back to 13 July 2025the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 1 March 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
732
Videos
292
Links
82

Lifetime counters from Telegram’s own channel header, read 7 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
38m 24s
Average length
3m 50s

Measured directly from 10 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

452 reactions across 19 posts, in 13 distinct kinds. The most used accounts for 65.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
29765.7%
🥰5111.3%
👍316.86%
🔥214.65%
❤‍🔥183.98%
😁122.65%
👎61.33%
😢51.11%
👏30.664%
🙏30.664%
🍓20.442%
🤣20.442%
10.221%

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 19 of the 20 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 452 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 13 July 2025 to 1 March 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 Mar 2026, 13:32 UTC≈10,000 views24 reactionsread 7 September 2026
Video

​​👉 @YuklaydiBot

18👎4😁2

1 Jan 2026, 04:07 UTC≈13,600 views71 reactionsread 7 September 2026

May your days be filled with smiles 😄, your dreams come true 🌈, and your heart be full of peace and joy 🕊️. Wishing you success in every step 🚀, warm moments with loved ones 👨‍👩‍👧‍👦, and lots of unforgettable memories 📸✨. 🎄❄️ Have a wonderful, joyful, and amazing New Year 2026 ! ❄️🎄

53🥰10🙏3😁21👍1👎1

20 Dec 2025, 17:06 UTC≈14,200 views31 reactionsread 7 September 2026

旧的不去,新的不来

🔥136😢5👍3🤣2😁2

20 Dec 2025, 16:54 UTC≈13,900 views73 reactionsread 7 September 2026
Photo

苹果🍎 苹果是一种常见又健康的水果。很多中国人喜欢每天吃一个苹果,因为有一句话说:一天一个苹果没有生病。苹果味道甜,价格不高,对身体很好。 @learnchinesestepbystep

56👍14🔥2👎1

18 Dec 2025, 03:59 UTC≈12,400 views36 reactionsread 7 September 2026
File

File, posted without a caption

🥰315

2 Dec 2025, 10:29 UTC≈13,900 views62 reactionsread 7 September 2026
Video

Video, posted without a caption

40👍8🥰5❤‍🔥4🔥3🍓2

26 Oct 2025, 12:16 UTC≈15,400 views26 reactionsread 7 September 2026

紧急曝光:套牌的“启明创投”APP已跑路!这9个套牌、虚构的理财陷阱千万别碰! 在数字化浪潮与金融创新并行的时代,各类投资理财平台如雨后春笋般涌现,为大众提供了丰富的资产配置选择。然而,阳光之下亦有阴影,一些不法分子正是利用人们对财富增值的渴望与新兴金融概念的认知盲区,精心编织了一个个看似诱人实则危险的骗局。 他们或冒用知名机构名义,或虚构国家背景项目,以“高额返利”“稳赚不赔”“原始股认购”等为诱饵,通过搭建虚假APP、建立层级传销网络等手段,大肆实施金融诈骗与非法集资活动。 1、套牌的“启明创投”APP资金盘 套牌虚假理财诈骗。一个冒牌的资金盘项目提现出现困难,今天该APP已经无法打开,彻底崩盘跑路! 另一位网友反馈,他身边的亲人朋友从去年开始陆陆续续有50余人参与该项目,损失可能高达500余万元。 今年年初,启明创投官方就发布声明,提示广大网友“启明创投QMVP”是诈骗软件。随后陆续发布三篇声明!但参与者痴迷于高额的

25👍1

22 Oct 2025, 18:12 UTC≈12,300 views39 reactionsread 7 September 2026
Video

晚安🌜 早点睡吧🌛 @learnchinesestepbystep

34🔥3🥰2

22 Oct 2025, 13:32 UTC≈11,800 views31 reactionsread 7 September 2026
Video

Learn Chinese song given with the hieroglyphics @learnchinesestepbystep

❤‍🔥1411👍3🥰3

19 Aug 2025, 17:46 UTC≈15,800 views6 reactionsread 7 September 2026
Video

#podcast ✅坚持的力量 @learnchinesestepbystep

5😁1

13 Aug 2025, 17:47 UTC≈15,500 views7 reactionsread 7 September 2026
Video

Video, posted without a caption

6👍1

Showing the 12 most recent of 20 posts we hold for @learnChinesestepbystep. 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

NL Movie Channel
@MovieChannelNL · 43,529
Telegram ranks this channel #22 of 22 here — alongside 21 others — read 7 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Learn Chinese step by step” (@learnChinesestepbystep), 13,066 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/learnChinesestepbystep.

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.