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Channel
@filbers
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry
7,725subscribers
+539 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001678362805 |
|---|---|
| Type | Channel |
| Username | @filbers |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/filbers |
Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
10,500 average views per post against 7,746 subscribers — an engagement rate of 136.1%. Across the 39,880 registered channels in the same cohort — 3,183–9,999 subscribers — the middle half sit between 5.36% and 23.1%, with a median of 11.8%.
| Window | 30 days (6 October 2026 – 5 November 2026) |
|---|---|
| Posts measured | 16 of 16 published in the window (0 exact, 16 rounded by Telegram) |
| Views totalled | 168,690 |
| Mature posts only | 150.5% over 14 posts read at least 24h after publication |
| Subscribers | 7,746 measured 4 November 2026 |
| Cohort | b3162 · 39,880 channels · p10 2.28% · p25 5.36% · p50 11.8% · p75 23.1% · p90 38.8% |
| Position in cohort | 99.586th percentile · 11.5× the cohort median |
| Uncertainty | ±0.054% of the figure, from Telegram’s rounding |
| Post language | Hebrew · 100.0% of the window’s posts |
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 5 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 21:54 | 7,725 | -23 |
| 7 Nov 2026, 15:45 | 7,748 | +2 |
| 4 Nov 2026, 19:25 | 7,746 | -6 |
| 1 Nov 2026, 23:05 | 7,752 | +9 |
| 29 Oct 2026, 14:37 | 7,743 | +263 |
| 26 Oct 2026, 19:21 | 7,480 | +27 |
| 24 Oct 2026, 00:45 | 7,453 | +22 |
| 20 Oct 2026, 22:19 | 7,431 | +27 |
| 17 Oct 2026, 23:20 | 7,404 | +7 |
| 14 Oct 2026, 19:46 | 7,397 | +23 |
| 11 Oct 2026, 14:58 | 7,374 | +26 |
| 4 Oct 2026, 22:36 | 7,348 | +7 |
| 25 Sept 2026, 13:00 | 7,341 | +19 |
| 16 Sept 2026, 14:39 | 7,322 | +10 |
| 13 Sept 2026, 02:15 | 7,312 | +8 |
| 9 Sept 2026, 00:40 | 7,304 | +5 |
| 3 Sept 2026, 20:19 | 7,299 | +18 |
| 31 Aug 2026, 09:07 | 7,281 | +8 |
| 28 Aug 2026, 09:58 | 7,273 | +17 |
| 22 Aug 2026, 19:53 | 7,256 | first reading |
57 posts held, back to 19 June 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 34 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.
| Window | Rolling 30 days · latest post in window 13 November 2026 |
|---|---|
| Posts held | 57 (19 June 2026 – 13 November 2026) |
| Views total | 172,770 |
| Reactions total | 6,170 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 15:19 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 13 November 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 9 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.
15,293 reactions across 56 posts, in 36 distinct kinds. The most used accounts for 43.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 6,697 | 43.8% | |
| ❤ | 3,466 | 22.7% | |
| 👌 | 885 | 5.79% | |
| 😁 | 794 | 5.19% | |
| 🤬 | 702 | 4.59% | |
| 🙏 | 575 | 3.76% | |
| 👏 | 386 | 2.52% | |
| 🔥 | 381 | 2.49% | |
| 💔 | 311 | 2.03% | |
| 💯 | 291 | 1.90% | |
| 💩 | 177 | 1.16% | |
| 😢 | 97 | 0.634% | |
| 🤮 | 85 | 0.556% | |
| 😭 | 79 | 0.517% | |
| 😱 | 68 | 0.445% | |
| 🏆 | 61 | 0.399% | |
| 🤡 | 48 | 0.314% | |
| 🤣 | 48 | 0.314% | |
| 👎 | 30 | 0.196% | |
| 😐 | 19 | 0.124% | |
| 16 further kinds | 93 | 0.608% |
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 56 of the 57 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 15,293 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 57 most recent posts we hold, published 19 June 2026 to 13 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: 8 of 21 posts held from the last 30 days (38.1%) 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).
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אחד העותקים הראשונים הענקתי לינון, חבר למאבק בנסיונות ההגמוניה ל דכא את עלייתו של הימין בישראל. עליו , על משפט נתניהו, התקשורת והדיפסטייט הכל בספר מתחילת השבוע בחנויות הספרים או בקניה ישירה באתר סלע מאיר 👇
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אמש הושקה בישראל הברית "הירוקה אדומה" בין תומכי האיסלם הקיצוני והרצחני, ל"ליברלים". בכנסת נרשם עוד פרק במאבקה של ההגמוניה השוקעת לנסות ולאחוז בהגה השלטון. אחרי עשור של מאבקים שרק הסלימו והביאו הישגים דלים. אימצו הליברלים את הנוסחה שחיסלה וקברה את אירופה ואמש הביאו אותה לפרלמנט הישראלי. בפרק נוסף במאבק ההישרדות של ההגמוניה הישנה בימין הישראלי העולה. ל מרות הבחירות הליכוד לא נחלש, הימין לא הולך לשום מקום, וגם הניסיונ…
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שלמה פילבר Shlomo Filber pinned «https://sellameir.com/product/%D7%96%D7%94-%D7%9C%D7%90-%D7%91%D7%99%D7%91%D7%99»
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Photo, posted without a caption
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אמש חשף @amit_segal את דבריו של ראש אגף החקירות במשטרה שמאשים את הפרקליטות שהיא "מחזיקה תיקים על אנשי ציבור כדי לשלוף אותם נגדם כשזה נוח ומתאים, ושמח"ש עושה אותה דבר לשוטרים שלא מתיישרים" הנה קטע נוסף מהספר "זה לא ביבי" מפרק החקירות - המתאר את זרועות התמנון של חמשת גופי החקירה שמפעיל הדיפסטייט כדי לטפל בנבחרי ציבור שאינם מתיישרים לפי קו המערכת. תחנה שלישית: להב 433 – מגרסת הציד הארצית והכותרות בתקשורת לחדרי החקירות…
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מצעד האיוולת של חוק הגיוס. כשכולם כוססים ציפרניים איך תגמר הדרמה הפוליטית השבוע, האם השמאל יעביר חוק גיוס והאם החרדים יערקו. קראו קטע מספרי "זה לא ביבי" על חוק הגיוס והחרדים שמזכיר איך כולם יצאו מופסדים מהחלטות פוליטיות שגויות. "... החרדים דחו את הטיפול בתפוח האדמה הלוהט - חוק הגיוס. פעם אחר פעם הם מרחו את הזמן, תוך שבג"ץ נושף בממשלה להסדיר את הנושא. ב-2017 פסל בג"צ את חוק הגיוס שנחקק ב-2013 ועבר שינויים לרככו כששבו…
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לפני ארבע שנים אחרי הבחירות, גוש השמאל היה בהלם, וכשיצא לנקום המחיר הלאומי היה קשה. הדיפסטייט יצא לקרב חייו. האם אנחנו בפני סיבוב נוסף? קטע נוסף מספרי "זה לא ביבי". מההלם בקלפי לתורת הכאוס (סוף 2022 – תחילת 2023) בנובמבר 2022, כשתוצאות הבחירות לכנסת העשרים וחמש החלו לזרום ממדגמי הטלוויזיה אל מסכי המחשב של ועדת הבחירות המרכזית, שררה באולפני החדשות ובמסדרונות השלטון דממה כבדה שאי אפשר היה לטעות בטיבה. זו לא הייתה סתם…
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"תגיד שזה ביבי" זה כל מה שרצו החוקרים ב2018 כדי להשלים את משימתם בה החלו באמצע 2015 לסכל את שלטון הימין בהפללת מנהיגו נתניהו. בפברואר 2018 הושלם מהלך ההפללה שיזם הדיפסטייט בחקירה שכונתה "פרשת שחיתות השלטונית הגדולה בישראל" תיק 4000, ובה נעצרתי כחשוד ב"סיוע לשוחד" אישום שמאז ביטלו אותו השופטים. ואפילו מנדלבליט שהגיש את כתב האישום לא מסוגל לתת הסברים למה. ל הלן קטע נוסף מתוך הפרק בספר "זה לא ביבי" המתאר את החקירות שעב…
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ככה מתחיל הסיפור. "את קמפיין הליכוד ב2015 ניהלנו ארבעה אנשי נתניהו, על פני שלושה חודשים מתישים. ניר חפץ, ארי הרו, דוד שרן ואני, לצד האסטרטג אהרון שביב. שלושה חודשים שבהם כמעט לא ישנו, חיינו מסקר אל סקר, וספגנו מכה אחר מכה מתקשורת שהתייצבה כמעט כולה בצד השני. עכשיו, סוף סוף, יכולנו לנשום. עבורי זה היה הלילה הראשון מזה חודשים שבו נרדמתי רגוע. איש מאיתנו לא שיער שזה גם הלילה האחרון לאנונימיות. כבר אז, באותו ערב של ניצחו…
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לפני שבוע התעוררנו לתוצאות המבלבלות של הבחירות. רבים ביקשו ממני הסבר, למזלי, הכנתי כזה מראש. בשנה האחרונה ולקראת הבחירות, שהיוו את שיא המערכה בקמפיין מרוכז ומסוכן להפקעת קולו וזכויותיו של מחנה פוליטי שלם, ישבתי לכתוב את הכרוניקה והניתוח של הקרב נגד עלייתו של המחנה הלאומי, שהתרחש בעשור האחרון. הבחירות האחרונות אמנם הותירו אותנו עם אתגרים כבירים, אך הן גם מסמלות את סופה של תקופה, ותחילתו של עידן חדש גדוש בהזדמנויות ו…
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Showing the 12 most recent of 57 posts we hold for @filbers. 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.
@filbers 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 4 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.
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 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.
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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.
“שלמה פילבר Shlomo Filber” (@filbers), 7,725 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/filbers.
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.