Channel
@inowknow
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Telegram's recommendations · Cite this entry
17,040subscribers
-335 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001978123285 |
|---|---|
| Type | Channel |
| Username | @inowknow |
| Description | Curious facts about everything, daily. Please support us: Buy ads: https://telega.io/c/inowknow Donate: https://bmc.link/realpandaprod Contact us: @RealPanda_bot Spanish Version:https://t.me/+w11WoRsOSzFiZGJk |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/inowknow |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 02:20 | 17,040 | -4 |
| 9 Nov 2026, 12:40 | 17,044 | +2 |
| 8 Nov 2026, 01:08 | 17,042 | -4 |
| 6 Nov 2026, 22:29 | 17,046 | -13 |
| 5 Nov 2026, 19:19 | 17,059 | -4 |
| 4 Nov 2026, 19:00 | 17,063 | -4 |
| 3 Nov 2026, 20:28 | 17,067 | -2 |
| 2 Nov 2026, 16:57 | 17,069 | -2 |
| 1 Nov 2026, 13:56 | 17,071 | -8 |
| 31 Oct 2026, 11:59 | 17,079 | -3 |
| 30 Oct 2026, 14:02 | 17,082 | -3 |
| 29 Oct 2026, 17:17 | 17,085 | -7 |
| 28 Oct 2026, 19:50 | 17,092 | +1 |
| 27 Oct 2026, 18:57 | 17,091 | -9 |
| 26 Oct 2026, 15:56 | 17,100 | +1 |
| 25 Oct 2026, 18:00 | 17,099 | -9 |
| 24 Oct 2026, 14:58 | 17,108 | -7 |
| 23 Oct 2026, 15:35 | 17,115 | -2 |
| 22 Oct 2026, 18:17 | 17,117 | -7 |
| 21 Oct 2026, 11:21 | 17,124 | first reading |
164 posts held, back to 29 July 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 77 pages of 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 43 of 44 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 November 2026 |
|---|---|
| Posts held | 164 (29 July 2026 – 10 November 2026) |
| Views total | 38,508 |
| Reactions total | 310 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 06:07 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 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 1 video 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.
1,230 reactions across 155 posts, in 24 distinct kinds. The most used accounts for 43.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 540 | 43.9% | |
| ❤ | 458 | 37.2% | |
| 👏 | 35 | 2.85% | |
| 🤔 | 34 | 2.76% | |
| 🤣 | 26 | 2.11% | |
| 😱 | 24 | 1.95% | |
| 😁 | 21 | 1.71% | |
| 🥴 | 20 | 1.63% | |
| 🔥 | 19 | 1.54% | |
| 😢 | 11 | 0.894% | |
| 🥰 | 10 | 0.813% | |
| 🆒 | 6 | 0.488% | |
| 😭 | 6 | 0.488% | |
| 👨💻 | 5 | 0.407% | |
| 😈 | 3 | 0.244% | |
| 🌚 | 2 | 0.163% | |
| 🍓 | 2 | 0.163% | |
| 👌 | 2 | 0.163% | |
| ✍ | 1 | 0.081% | |
| 🍌 | 1 | 0.081% | |
| 4 further kinds | 4 | 0.325% |
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 156 of the 164 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 1,230 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 164 most recent posts we hold, published 29 July 2026 to 10 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.
Telegram’s own ‘edited’ marker: 0 of 44 posts held from the last 30 days (0%) 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).
Whales can communicate across the ocean over thousands of kilometers. Their low-frequency sounds, called “songs,” travel through water, and scientists still don’t fully understand what they’re “saying.” Sometimes their voices sound like melodies from another world. #Fact ⚡ #Daily ⚡ #World Subscribe
❤6👍3
Radioactive bananas 🍌 Popular yellow fruits contain the natural isotope potassium-40, which constantly emits radiation. However, this dose is microscopic, so getting radiation sickness is simply impossible. #Radiation #Health #Facts
👍7🤔2
In China, there’s a bridge over the Yangtze River that’s 164 km long—the longest bridge in the world! It carries both trains and cars. Building it was more complex than some space missions. #Fact ⚡ #Daily ⚡ #World Subscribe
👏6👍3
Secret of mollusks stone grip Marine mollusks use a rare amino acid with iron to stick to granite. ⚓ The resulting material is stronger than the best epoxy resins created in engineering labs. #Chemistry #Discoveries #Nature
❤5👍1
The world’s smallest computer, created in 2018, is smaller than a grain of rice. Developed at the University of Michigan, it’s used in medicine, like monitoring cancer cells. Imagine: a device the size of a speck of dust saving lives! #Fact ⚡ #Daily ⚡ #World Subscribe
👍5
Singapore: The Urban Canyon Effect Singapore is a city that has learned to control its climate through architecture. The density of skyscraper construction creates so-called "urban canyons" that force wind patterns to cool the streets. This isn't just aesthetics: when designing buildings, architects use wind computer modeling to cool the streets naturally. Singapore’s climate is the result of engineering calculatio…
👍4❤1
In Africa, Lake Nyasa is so deep that fish living in it never see light. These species evolved in total darkness at depths over 700 meters. Scientists are still discovering new species in the lake! #Fact ⚡ #Daily ⚡ #World Subscribe
👍6
🧩 Smart Doubt The more one studies a specific topic, the clearer they see unknown scales. That is why newcomers always shout louder than pros, missing pitfalls. #Brain #Science #Facts
Japan invented a maglev train that reaches 603 km/h—the fastest train in the world! It floats above the tracks using magnets. Passengers say riding it feels like flying at low altitude. #Fact ⚡ #Daily ⚡ #World Subscribe
❤7👍3
The ghost town with roads in the middle of a desert California laid out a street grid for a huge city, but abandoned the project. Now miles of empty asphalt lie in the Mojave Desert. #Desert #Planning #City
❤5👍2
The world’s oldest working lighthouse is in Spain—the Tower of Hercules. Built during the Roman Empire about 1,900 years ago, it still guides ships today. Its stone walls have withstood centuries of storms! #Fact ⚡ #Daily ⚡ #World Subscribe
👍6❤2
Garlic shield against microbes Fresh garlic releases allicin when crushed. This natural component destroys bacteria faster than standard preservatives. Ancient warriors used it for wound disinfection before the invention of medicines. #Garlic #Biology #Nature
❤8👍3
Showing the 12 most recent of 164 posts we hold for @inowknow. 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.
@inowknow 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.
We recorded 9 posts on @inowknow as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
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.
This channel appears in 66 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 November 2026 — this entry's latest reading, not the date you are reading this.
“Now I Know 👌” (@inowknow), 17,040 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/inowknow.
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.