https://www.instagram.com/reel/DZsIs4MO_O-/?igsh=MTBrcDV2d2J1YmcxeQ==
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Channel
@lerntoghethermixlevels
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
18subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002451432719 |
|---|---|
| Type | Channel |
| Username | @lerntoghethermixlevels |
| Description | Welcome to my English learning channel! We dive into knowledge together. Explaining helps us learn. Created this channel to share materials and discussions. Hard work and self-development are key. Let's succeed together!"Certified in IELTS and SAT. |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/lerntoghethermixlevels |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 18:46 | 18 | no change |
| 7 Aug 2026, 17:44 | 18 | first reading |
20 posts held, back to 1 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 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. It is computed over the 10 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 20 (1 August 2026 – 11 August 2026) |
| Views total | 232 |
| Reactions total | 12 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Aug 2026, 18:46 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.
Lifetime counters from Telegram’s own channel header, read 11 August 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.
Measured directly from 5 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.
12 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 41.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 41.7% | |
| 🤣 | 4 | 33.3% | |
| 🥰 | 2 | 16.7% | |
| 👍 | 1 | 8.33% |
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 10 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 12reactions 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 1 August 2026 to 11 August 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lerntoghethermixlevels. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 1 August 2026 to 11 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
https://www.instagram.com/reel/DZsIs4MO_O-/?igsh=MTBrcDV2d2J1YmcxeQ==
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https://www.instagram.com/reel/Db3uFdHzH9y/?igsh=bDUyYnVyYmszanN6
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Photo, posted without a caption
❤1
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Video, posted without a caption
🤣2
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how i edit not important ones,,,,,,,,,,,,,,,,,,,,,,,,,
🤣2
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⚡️ Team Electromagnetism Before the event, the team was assigned the topic of electromagnetism. They researched it independently, learned how it works, and explained it to everyone else in a simple and engaging way. Since the event was set in the year 2126, they also imagined how electromagnetism could evolve in the future and what technologies it might inspire. What made this experience even more special was that…
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💪 Team Mutation The team explored the concept of mutation by explaining how genetic changes can influence traits such as muscle growth and protein production. To make the topic more engaging, they even used their own physical strength as a fun example, playfully demonstrating the "power of mutation" while supporting their explanation with scientific arguments. Their presentation was not only educational but also fu…
🥰1
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🌿 Team Natural Selection The team took us into a magical fairy-tale world to explain the concept of natural selection. Through a creative story and role-play, they showed how natural selection worked in the past, how it continues to shape life today, and why it remains one of the most important processes in evolution. Their imaginative performance made a complex biological concept easy to understand while keeping e…
🥰1
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How I edit essentil videos.......
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⚡️⚡️Tarixiy kun: “Samarkand-2028” sun’iy yo‘ldoshi orbitaga muvaffaqiyatli chiqarildi 🚀 Bugun, 5-avgust kuni STAR.VISION kompaniyasi tomonidan Xitoyning Shandun provinsiyasi qirg‘oqlari yaqinidagi dengiz start platformasidan Samarkand-2028 va Lampung-1 giperspektral sun’iy yo‘ldoshi uchirildi. 🛰 Mazkur loyiha O‘zbekiston tarixidagi eng yirik xalqaro kosmik loyihalardan biri bo‘lib, milliy kosmik dastur rivojida yan…
❤1
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It's a fascinating experience, and it can be a sign that your exposure to English is paying off. Your passive vocabulary (words you recognize) may already be much larger than your active vocabulary (words you use), and with practice, more of those words can move into everyday use.
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Have you ever had a dream where you praised yourself? I'm usually my own biggest critic, so it almost never happens. But last night, I dreamed that I was praising myself not in my own language, not in Russian, but in English. What surprised me even more was that I was using advanced vocabulary I don't normally use. Some of the words sounded familiar because I'd heard them in anime, movies, or conversations, but I'd …
❤1
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Showing the 12 most recent of 20 posts we hold for @lerntoghethermixlevels. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“Learn & Thrive” (@lerntoghethermixlevels), 18 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/lerntoghethermixlevels.
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.