Channel
@HelpfulLists
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
30subscribers
-1 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001881557938 |
|---|---|
| Type | Channel |
| Username | @HelpfulLists |
| Description | Featured lists that help you get things done , learn more , etc .. (｡•̀ᴗ-)✧ First Post : https://t.me/HelpfulLists/12 |
| First recorded | 12 October 2026 |
| Last confirmed live | 12 October 2026 |
| Measurements held | 3 |
| On Telegram | t.me/HelpfulLists |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Oct 2026, 15:22 | 30 | no change |
| 27 Sept 2026, 12:55 | 30 | -1 |
| 9 Aug 2026, 03:00 | 31 | first reading |
20 posts held, back to 3 January 2023 — 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 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.
| Window | Rolling 30 days · latest post in window 23 September 2026 |
|---|---|
| Posts held | 20 (3 January 2023 – 23 September 2026) |
| Views total | 2 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Oct 2026, 15:22 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.
3 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 3 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 3 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 3 January 2023 to 23 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.
⇨ 𝟏𝟎 𝐒𝐭𝐫𝐚𝐧𝐠𝐞 𝐅𝐚𝐜𝐭𝐬 ╭── ⋅ ⋅ ── ✩ ── ⋅ ⋅ ──╮ 1. Bananas are botanically berries 2. Octopuses have three hearts 3. Wombat poop is cube-shaped 4. A day on Venus is longer than its year 5. Sharks are older than trees 6. Honey can remain edible for extremely long periods 7. Some turtles can breathe through their skin 8. Cows can have best friends 9. Scotland's national animal is the unicorn 10. There are more…
⇨ 5 Ways to Strengthen Connections ╭── ⋅ ⋅ ── ✩ ── ⋅ ⋅ ──╮ 1. Offer Genuine Support 2. Meaningful Touch 3. Make Time for Togetherness 4. Sincere Compliments 5. Thoughtful Surprises ✦ #Connection #Bonding #Care 🟢【 @HelpfulLists 】
⇨ 7 Inline Telegram Bots ╭── ⋅ ⋅ ── ✩ ── ⋅ ⋅ ──╮ 1. @storebot search for other bots in the store bot 2. @the_musicbot / @vkm_bot sends you music files ( only works in group and its own private chat ) 3. @mrbytebot an AI bot ( works in groups or its own private chat ) Mr Byte can also work inline with reduced functionality. You can get results from Urban Dictionary, YouTube, Reddit, Wikipedia, Weather, e.t.…
⇨ 5 Ways To Show Love ╭── ⋅ ⋅ ── ✩ ── ⋅ ⋅ ──╮ 1. Support and Encouragement 2. Physical Touch 3. Spending Quality Time 4. Words of Affirmation 5. Surprise Gestures ✦ #Feeling #Love #Express 🟢【 @HelpfulLists 】
⇨ 10 Telegram Converter Bots ( Files to Direct Links ) ╭── ⋅ ⋅ ── ✩ ── ⋅ ⋅ ──╮ 1. @FreeDownloadYarbot 2. @Linkgram_Robot 3. @LinkGostarBot 4. @CornXBot 5. @Filegram_RoBot 6. @FileToLinkiBot 7. @File2link_MM_bot 8. @LinkForFilebot 9. @files_kpbot 10. @GetPublicLinkBot ✦ #ConverterBots #Bots #Telegram 🟢【 @HelpfulLists 】
⇨ 11 Comedy Movies ╭── ⋅ ⋅ ── ✩ ── ⋅ ⋅ ──╮ 1. Intouchbles 2. Click 3. Grand budapest hotel 4. Hot fuzz 5. Naked gun 13 6. Airplane 7. Yes man 8. Shaun of the dead 9. Meet parents 10. Dumb and dumber 11. This means war ✦ #Movies #Comedy #ToWatch 🟢【 @HelpfulLists 】
⇨ 12 Korean Series ╭── ⋅ ⋅ ── ✩ ── ⋅ ⋅ ──╮ 1. Crash Landing on You 2. It's Okay to Not Be Okay 3. Hellbound 4. Undercover 5. Sweet Home 6. The Silent Sea 7. Extraordinary Attorney Woo 8. The Glory 9. Hometown Cha-Cha-Cha 10. Boys Over Flowers 11. Alchemy of Souls 12. Tomorrow ✦ #Series #Korean #ToWatch 🟢【 @HelpfulLists 】
⇨ 5 Horror Movies ╭── ⋅ ⋅ ── ✩ ── ⋅ ⋅ ──╮ 1. Dabbe 2. Us Harfliler 3. The Omen 4. Insidious ( 1 - 5 ) 5. Siccen ✦ #Movies #Horror #ToWatch 🟢【 @HelpfulLists 】
⇨ 5 Ways To Show Kindness ╭── ⋅ ⋅ ── ✩ ── ⋅ ⋅ ──╮ 1. Offer a helping hand 2. Send gifts⠀ 3. Be there to listen⠀ 4. Smile at others⠀ 5. Give genuine compliments ✦ #Traits #Kind #Personality 🟢【 @HelpfulLists 】
❤1
⇨ 7 Romantic Movies ╭── ⋅ ⋅ ── ✩ ── ⋅ ⋅ ──╮ 1. Midnight In Paris⠀ 2. Before Sunrise⠀ 3. About Time⠀ 4. Lost In Translation⠀ 5. Risky Business⠀ 6. Trainspotting⠀ 7. Her ✦ #Movies #Romantic #ToWatch 🟢【 @HelpfulLists 】
⇨ 7 Steps & Percentages Of Learning ╭── ⋅ ⋅ ── ✩ ── ⋅ ⋅ ──╮ 1. when we read = 10% 2. when we hear = 20% 3. when we see = 30% 4. when we see and hear = 50% 5. when we discuss = 70% 6. when we experience = 80% 7. when we teach others = 95% — William Glasser ✦ #Learning #Steps #Percentages 🟢【 @HelpfulLists 】
⇨ 6 Signs Of Vitamins Deficiency ╭── ⋅ ⋅ ── ✩ ── ⋅ ⋅ ──╮ 1. Fatigue : lack of vitamin B2 2. Depression : lack of vitamin D 3. Hair loss : lack of vitamin B 4. Anorexia : lack of vitamin B 5. Headache : lack of vitamin B3 6. Insomnia : lack of vitamin B5 ✦ #Health #Signs #Vitamins 🟢【 @HelpfulLists 】
Showing the 12 most recent of 20 posts we hold for @HelpfulLists. 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.
Named by 3 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.
Named by
Channels on the register whose posts name this channel's handle.
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 12 October 2026 — this entry's latest reading, not the date you are reading this.
“Helpful Lists 🌱 | NA” (@HelpfulLists), 30 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/HelpfulLists.
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.