27 measurements spanning 30 days, net -153. 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 20,494–20,695 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
5 Sept 2026, 18:38
20,517
-16
3 Sept 2026, 15:58
20,533
-2
2 Sept 2026, 08:32
20,535
-10
1 Sept 2026, 07:45
20,545
-2
31 Aug 2026, 07:44
20,547
-1
30 Aug 2026, 08:56
20,548
-12
29 Aug 2026, 12:09
20,560
-7
28 Aug 2026, 13:05
20,567
-7
27 Aug 2026, 11:04
20,574
+2
26 Aug 2026, 08:25
20,572
-5
25 Aug 2026, 08:32
20,577
-11
24 Aug 2026, 07:34
20,588
-4
22 Aug 2026, 15:04
20,592
-1
21 Aug 2026, 08:16
20,593
-6
20 Aug 2026, 05:12
20,599
-3
19 Aug 2026, 08:44
20,602
-6
18 Aug 2026, 08:42
20,608
-4
17 Aug 2026, 11:23
20,612
-11
15 Aug 2026, 20:22
20,623
-1
14 Aug 2026, 13:08
20,624
first reading
Engagement
40 posts held, back to 21 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 57 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
23.0%
avg views ÷ 20,517 subscribers
Avg views / post
4,720
19 posts measured
Reaction rate
4.87%
reactions ÷ views · ER floor
Posts in window
19
of 40 held
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
40 (21 July 2026 – 2 September 2026)
Views total
89,710
Reactions total
4,372
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 00:16 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.
What this channel posts
Video runtime
44m 56s
Average length
1m 48s
Measured directly from 25 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
9,733 reactions across 39 posts, in 14 distinct kinds. The most used accounts for 27.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,638
27.1%
👏
2,162
22.2%
👍
2,066
21.2%
🔥
1,150
11.8%
🤬
984
10.1%
🎉
261
2.68%
🥰
156
1.60%
😱
100
1.03%
🤮
96
0.986%
🤯
50
0.514%
😢
23
0.236%
🤩
23
0.236%
😁
19
0.195%
🤔
5
0.051%
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 39 of the 40 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 9,733 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 21 July 2026 to 2 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.
De bemoeizucht van de staat heeft ervoor gezorgd dat paradoxaal genoeg een hogere accijnsheffing leidt tot mínder belastinginkomsten, doordat consumenten hun rookwaar in het buitenland kopen. Is dat dan “fraude”, of een logische reactie van de consument?
FVD wil de accijns op tabak, alcohol en benzine drastisch verlagen.
📚 Leestip: De laatste roker - W.F. Hermans
Privébezit is geen gunst van de staat - het is de voorwaarde voor een vrij, menselijk bestaan. Box 3 miskent dat: het is dubbele belasting, het straft spaarzaamheid, en het jaagt kapitaal ons land uit. Ook bemoeilijkt het de kansen voor middenklassers om vermogen op te bouwen.
Wat FVD betreft schaffen we box 3 in zijn geheel af.
Ze maken ons eerst afhankelijk van buitenlands gas, om vervolgens te stellen dat we geen invloed meer hebben op de gasprijs.
Precies hiervoor heeft FVD altijd gewaarschuwd. Door de sluiting van het Groninger gasveld komt de rekening uiteindelijk bij huishoudens terecht.
Méér regels en méér taken voor de douane, zonder adequate middelen. En is het überhaupt wenselijk om onze grenscontroleurs tot handhavers te maken van met name Brusselse wetgeving?
Iem Al Biyati in debat over de douane, met bijzondere aandacht voor accijnsfraude en tabaksbelasting.
Zojuist is Iem Al Biyati beëdigd als lid van de Tweede Kamer. Ze neemt tijdelijk de zetel van Lidewij de Vos in, die momenteel met zwangerschapsverlof is. Ralf Dekker zal als fractievoorzitter fungeren.
Iem maakt als plaatsvervangend lid na afloop van haar tijdelijke Kamerzetel geen aanspraak op een wachtgeldregeling en zal dus - net als alle andere FVD’ers - geen wachtgeld in ontvangst nemen.
De Eurobarometer is niets minder dan een instrument voor EU-propaganda. Het kabinet gebruikt deze peilingen om pro-Europees beleid te rechtvaardigen en lijkt niet geïnteresseerd te zijn in onderbouwde kritiek.
Het kabinet blijft er maar niet uit komen met het rondkrijgen van de begroting. Terwijl het zo simpel is:
Stop het peperdure klimaatbeleid
Geen miljarden euro’s meer naar Oekraïne en Afrika
Stop de massale immigratie
Zo komt er ontzettend veel geld vrij, en kunnen de belastingen eindelijk verlaagd worden i.p.v telkens verhoogd.
https://nos.nl/l/2629036
Keer op keer wordt de Nederlandse kiezer genegeerd zodra Brussel iets anders wil. Onze democratie wordt uitgehold en de Tweede Kamer gedegradeerd tot praatclub.
Steun onze strijd voor een soeverein Nederland via fvd.nl/wordlid!
Jaarlijks vloeien vele miljarden euro's naar het buitenland. Hoeveel van deze transacties betreffen Nederlands belastinggeld? En zouden deze overmakingen reden zijn tot ingrijpen?
Milan Schenk stelt Kamervragen. https://fvd.nl/nieuws/hoeveel-nederlands-uitkeringsgeld-verdwijnt-onrechtmatig-naar-het-buitenland-schenk-stelt-kamervragen
In de politiek botsen twee fundamentele wereldvisies. De gevestigde orde wil ieder risico uitbannen met steeds meer regels, belastingen en verboden. FVD accepteert dat risico en tragiek bij het leven horen en kiest voor vrijheid en realisme.
Nederland moet weer de regie krijgen over zijn eigen grenzen. Als Europese regels en internationale verdragen dat verhinderen, moeten we bereid zijn deze ter discussie te stellen en op te zeggen.
➡️ Steun onze missie. Ga naar fvd.nl/wordlid en sluit je aan!
❤136👏44🔥9👍7🥰1
Showing the 12 most recent of 40 posts we hold for @FVDNL. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Cross-platform identity — Wikidata
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 5 September 2026 — this
entry's latest reading, not the date you are reading this.
“Forum voor Democratie” (@FVDNL), 20,517 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/FVDNL.
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.