The discussions demonstrate high engagement and interest, with references to specific datasets, methods, and country examples, showing participants' investment in understanding excess mortality during COVID-19. Words like 'significant excess mortality,' 'underreporting,' and mentions of data sources highlight the analytical tone and focus on evidence, which support the high scores for interest and impact.
AgreementModerate agreement
Most discussions support the validity of the study and its findings on excess mortality.
InterestHigh interest
The topic clearly engages many participants, as evident from detailed references and data updates.
EngagementHigh engagement
Some users actively analyze data sources, methods, and implications, indicating deep involvement.
ImpactHigh impact
The frequent sharing of updates and detailed data discussions suggest the discussion influences understanding and policy debates.
Abstract in brief
The study introduces the World Mortality Dataset, which collects all-cause mortality data from 103 countries to better measure COVID-19's true impact, since reported cases and deaths can be unreliable due to differences in testing and reporting policies.
They found that some countries, like Peru, Ecuador, Bolivia, and Mexico, experienced very high excess mortality during the pandemic—over 50% above normal or more than 400 deaths per 100,000 people—while others like Australia and New Zealand saw lower-than-normal mortality possibly because of social distancing.
The research also revealed that some countries, including Nicaragua, Russia, and Uzbekistan, significantly underreported COVID-19 deaths, emphasizing the need for transparent and timely reporting of all-cause mortality to better track the pandemic's true impact.]
@ZubyMusic Here are the sources for everything I said in this conversation if anyone is interrelated:
The deadly impact of COVID that is missed by focusing on an IFR number:
https://t.co/5bQpP7MoP8
https://t.co/M4lZ3xT9W7
Comorbidities in the US:
https://t.co/9vaF90OsyJ
Jun 8, 2024 · 43 likes · 6 shares · 33,064 followersView post →
H
Hosenmaus
@Hosenmaus1 · X
Ich kann diese wissenschaftsfernen „Aber Schweden“-Vergleiche nicht mehr hören. Das ist die größte Übersterblichkeits-Studie der Welt
Schweden war im skandinavischen Vergleich mit Abstand Schlusslicht – Fakt. #Lanz
https://t.co/CWhCnM8Fib https://t.co/SVnBd2Wvkd
@BMJPublicHealth Here is an example of a section of text in the @BMJPublicHealth article that has been copied and pasted from @eLife.
I have highlighted in yellow everything that is copied word-for-word.
This is the substance of the study design section.
https://t.co/aV1GnBggAW https://t.co/i6QnZXnJhh
Jun 10, 2024 · 31 likes · 7 shares · 19,769 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update
Australia: Feb 2022 data. Latest week 10% excess.
Japan: March 2022 at 9% excess.
Data, Estimates, Paper:
https://t.co/ZXnczLNmU5
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
#epitwitter #poptwitter https://t.co/mBT99Ty5zi
May 27, 2022 · 17 likes · 6 shares · 8,728 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update
Hong Kong: April 2022 67% excess.
Japan: April 2022 2.8% excess.
Data, Estimates, Paper:
https://t.co/ZXnczLNmU5
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
#epitwitter #poptwitter https://t.co/P22WfrQkGs
Jun 26, 2022 · 16 likes · 5 shares · 8,728 followersView post →
H
Hosenmaus
@Hosenmaus1 · X
@ArnoldWerWo @MathiasPriebe @gettrTim_ODIN @st_hennermann @SHomburg @WahnSager @humbughund Corona hatte bereits 2020 Übersterblichkeit. Ohne Impfung
Siehe Q1, q2, Q3
Größte Übersterblichkeitsmetastudie der Welt q1
https://t.co/CWhCnM8Fib
8% im April 2020 Q2
https://t.co/QNPdZyQjls
29% Übersterblichkeit in der Winterwelle 2020 Q3
https://t.co/BltX2KS073
Nov 5, 2023 · 15 likes · 4 shares · 14,753 followersView post →
The official Covid-19 death toll stands at about 55 million as of January 2022, but excess mortality estimates suggest a death toll between 1222 million, highlighting widespread underreporting. This video explores how…
This video examines excess mortality as a key measure to understand the true impact of COVID-19, highlighting the importance of reliable data and comparing different countries' experiences during the pandemic.
@Mattcoleman1300 @Censored4sure I wasn’t looking at deaths at all. Merely indicating the huge percentage increases in # of Japanese aged 70-80 & plus 80 which is not accounted for by OWD (using Karlinsky & Kobak’s 2021 study as their baseline)
More old people means more deaths
https://t.co/qRjIbDIydR
@thereal_truther Cool paper but I find the whole issue and framing strange.
(1) We noted the low rate of excess in NZ back in #WorldMortality 2021 https://t.co/bCudrKhZ6d and kept tracking it since https://t.co/HfwtER2NFg
@dobssi @jsm2334 @UncleJo46902375 @jneill @Jean__Fisch @Takeastepback16 @hmatejx Re: "By 2021 there were at least 6 times as many covid deaths as excess."
https://t.co/32FMvvCopq
Jun 10, 2025 · 2 likes · 3,345 followersView post →
AS
Atomsk's Sanakan
@AtomsksSanakan · X
@snorman1776 For posterity...
https://t.co/0cYx4TNGqW
https://t.co/KRLj9drkXl
https://t.co/wdNO0gun5u
"lockdowns are not associated with large numbers of deaths in places that avoided large COVID-19 epidemics"
https://t.co/FXdkgUuJFH
https://t.co/9EpxiCghLh
https://t.co/FoRrbCnsXu https://t.co/YCTWilMtN0
Jun 10, 2025 · 1 like · 3,345 followersView post →
P
PerQLado
@PerQLado153449 · X
@PanLacta @Nachg23 @MapasArgentos En muertes por exceso Argentina tiene los mejores resultados https://t.co/wBTCq9HZCK
Y si supieras del tema sabrías que la métrica de "muertes por covid" no distingue de muertes *por* covid que muertes *acompañadas de* covid.
@joshlbrooks @whodreadthis @_everythingism @tancona1023 @chriswallenberg @DKThomp And yet...
https://t.co/KRLj9drkXl
https://t.co/wdNO0gun5u
"lockdowns are not associated with large numbers of deaths in places that avoided large COVID-19 epidemics"
https://t.co/FXdkgUuJFH
https://t.co/9EpxiCghLh
https://t.co/FoRrbCnsXu https://t.co/sZec8C0Fcv
@nickpopemod @19joho @shallit43 @pissedoffnoname Your tone trolling is not working.
https://t.co/KRLj9drkXl
https://t.co/wdNO0gun5u
"lockdowns are not associated with large numbers of deaths in places that avoided large COVID-19 epidemics"
https://t.co/FXdkgUuJFH
https://t.co/9EpxiCghLh
https://t.co/FoRrbCnsXu https://t.co/UZrNeAYp1A
May 4, 2025 · 2 likes · 1 share · 3,345 followersView post →
HV
Heike Vagh
@heike_vagh · X
RT @Hosenmaus1: Ich kann diese wissenschaftsfernen „Aber Schweden“-Vergleiche nicht mehr hören. Das ist die größte Übersterblichkeits-Studi…
Ich kann diese wissenschaftsfernen „Aber Schweden“-Vergleiche nicht mehr hören. Das ist die größte Übersterblichkeits-Studie der Welt
Schweden war im skandinavischen Vergleich mit Abstand Schlusslicht – Fakt. #Lanz
https://t.co/CWhCnM8Fib https://t.co/SVnBd2Wvkd
@imjustaK9 @thereal_truther @justin_hart Stop trolling.
https://t.co/KRLj9drkXl
https://t.co/wdNO0gun5u
"lockdowns are not associated with large numbers of deaths in places that avoided large COVID-19 epidemics"
https://t.co/FXdkgUuJFH
https://t.co/9EpxiCghLh
https://t.co/FoRrbCnsXu https://t.co/GpgBh6KYEK
Mar 24, 2025 · 1 like · 3,345 followersView post →
MA
martin aguirre
@maguirreh · X
@glossfar @alejobongio yo también
https://t.co/aTgyR2onnO
@lockdownwasdum1 @MrMakossa @ighaworth @12CHawk Plus… the “more info”link takes u to the explanation that while only population size WAS adjusted…age was not stratified on 2015-2019 baseline & even notes Sweden underreporting covid deaths by 5.5% in 2021. https://t.co/ArRIlHrYIA
@Robert76907841 @kissingtruth @grok @Willard1951 @priscian @TWTThisIsNow @LexWaters7 @JohnK1234abcd @ejwwest @jpgcrowley @CymaticWave @4tis @DarrenDrpage @rwerkh @DoubleDumas @Anvndarnamn5 @jemmm85517813 @MarcEHJones @TMGFlorida @COrepKdeGraaf @Daaanvdb @NdabaningiMoyo @DenisDaly @JamesWest12 @AutumnMandrake @idummkopp @MusicFrom90 @kevhof52 @Proemed45 @Rebecca74083947 @25_cycle @Visitor51171015 @DaleGribble_666 @greenartdf @zebedeem @BennoList @LxxResearcher @waynejv1973 @VoteBlueUrban @BrknMan @RCownie @ICcrapdaily @ClimateRetorts @SGMTrailbuilder @CyfraithEcocide @JrmeBrwnCt @TheDisproof @patfrank830 @hausfath @grok Does excess deaths data show COVID-19 deaths were underreported or overreported in 2020?
https://t.co/9EpxiCghLh
https://t.co/FXdkgUuJFH
https://t.co/pYuyYH9I28
https://t.co/LbjSQP0gzH
"1 in 1.32 (95% UI* 1.29 – 1.34) COVID-19 deaths were reported"
https://t.co/M52x9LuHU
Mar 13, 2025 · 1 like · 3,345 followersView post →
AS
Atomsk's Sanakan
@AtomsksSanakan · X
@MurielBlaivePhD @19joho Tone trolling isn't a good answer to what he said
https://t.co/KRLj9drkXl
https://t.co/wdNO0gun5u
"lockdowns are not associated with large numbers of deaths in places that avoided large COVID-19 epidemics"
https://t.co/FXdkgUuJFH
https://t.co/9EpxiCghLh
https://t.co/pYuyYH9I28 https://t.co/4NEEOYooKb
@ctsbillc @klem1_klem @patfrank830 @TMGFlorida @ItsTheAtmospher @25_cycle @priscian @Willard1951 @TWTThisIsNow @kissingtruth @PoyetPatrice @DarrenDrpage @jemmm85517813 @DoubleDumas @MarcEHJones @COrepKdeGraaf @Robert76907841 @CymaticWave @Daaanvdb @NdabaningiMoyo @ejwwest @DenisDaly @Konrad_Chapman @JamesWest12 @AutumnMandrake @idummkopp @MusicFrom90 @kevhof52 @Proemed45 @Rebecca74083947 @Visitor51171015 @rwerkh @Anvndarnamn5 @DaleGribble_666 @greenartdf @zebedeem @BennoList @LxxResearcher @waynejv1973 @VoteBlueUrban @military_1776 @BrknMan @RCownie @ICcrapdaily @ClimateRetorts @SGMTrailbuilder @CyfraithEcocide @JrmeBrwnCt @TheDisproof And no, the excess deaths do not correlate with lockdowns; they correlate with COVID-19 deaths.
https://t.co/wdNO0gun5u
"lockdowns are not associated with large numbers of deaths in places that avoided large COVID-19 epidemics"
https://t.co/FXdkgUuJFH
h
Feb 21, 2025 · 2 likes · 3,345 followersView post →
AS
Atomsk's Sanakan
@AtomsksSanakan · X
@ctsbillc @NdabaningiMoyo @patfrank830 @Willard1951 @klem1_klem @Robert76907841 @DoubleDumas @jemmm85517813 @CymaticWave @Daaanvdb @PoyetPatrice @kissingtruth @TWTThisIsNow @ejwwest @priscian @DenisDaly @Konrad_Chapman @JamesWest12 @TMGFlorida @AutumnMandrake @idummkopp @MusicFrom90 @kevhof52 @Proemed45 @MarcEHJones @Rebecca74083947 @25_cycle @Visitor51171015 @rwerkh @Anvndarnamn5 @COrepKdeGraaf @DaleGribble_666 @greenartdf @zebedeem @BennoList @LxxResearcher @waynejv1973 @VoteBlueUrban @military_1776 @BrknMan @RCownie @ICcrapdaily @ClimateRetorts @DarrenDrpage @SGMTrailbuilder @CyfraithEcocide @JrmeBrwnCt @TheDisproof Excess deaths don't correlate with lockdowns; they correlate with COVID-19 deaths since they're caused by COVID-19.
"lockdowns are not associated with large numbers of deaths in places that avoided large COVID-19 epidemics"
https://t.co/FXdkgUuJFH
https://t.co/9EpxiCghLh
Feb 18, 2025 · 4 likes · 3,345 followersView post →
AS
Atomsk's Sanakan
@AtomsksSanakan · X
@Willard1951 @hairymarx1 @kissingtruth @patfrank830 @25_cycle @CymaticWave @OceanadeSilva @DoubleDumas @DanWebber810092 @RobThomas14 @PoyetPatrice @Wim_Ondewhybak_ @Konrad_Chapman @LxxResearcher @priscian @TWTThisIsNow @ICcrapdaily @HeidlerNeal @DarrenDrpage @ClimateRetorts @BrknMan @ejwwest @agentsinaction @NdabaningiMoyo @BoryanLeChat @EdWellham @Pow_Pop_Blam @mic12052 @covid_quest @MLiebreich @Frnc_prep @ericonthetrail @bobathon @Dooderoo @DuosEquis @WHUT @cohler @JoernWiedemann @Redoubtably10 @BStarr96522 @GeraldKutney @elonmusk He's trolling.
"lockdowns are not associated with large numbers of deaths in places that avoided large COVID-19 epidemics"
https://t.co/FXdkgUuJFH
https://t.co/KRLj9drkXl
https://t.co/avaQQwFGZP
https://t.co/vHe2SSPXWT
https://t.co/9EpxiCghLh https://t.co/OZaXcYxwxc
@jimdtweet @Kenneth72712993 @patfrank830 @dafalgoutDennis @craigthomler @Devonian1342 @TypicalDeviant @Michael_D_Crow @MLeiter42 @jgorman2424 @isaacscradle @jgatta06 @sjsimmons @JJ9621073059835 @WHPAAD @priscian @BubbasRanch @LexWaters7 @CDCollins5269 @BobPartridge16 @PushFourLeft @phlannelphysics @TrixX306 @ChrisBBacon3 @BenKoby1911 @Mark_A_Lunn @JamesAbbott2013 @ClimateRetorts @WayneAllanH @RobertWager1 @nxgrs73 @FreeSpeech4U_Me @hannon_renee @RixAutomatedMat @DaleGribble_666 @GeorgeJeff9804 @roger_clague @kevpluck @GillesnFio @Joe_Public2018 @ClimatePoet @EthonRaptor @dantrimont @Quentin__France @PoeBrianL @ilovekiirth @IBergwiesel @jpgcrowley @NoelTurner194 @TheDickKnightV2 Are you really expecting Richard to ever be honest?
"lockdowns are not associated with large numbers of deaths in places that avoided large COVID-19 epidemics"
https://t.co/FXdkgUuJFH
https://t.co/9EpxiCghLh htt
Feb 1, 2025 · 2 likes · 3,345 followersView post →
M
MetenIsWeten
@ToKnowOrNot · X
@ZinformatieF @HissinkMichel @Lennert_vd_Boom @kochhardy @Germa0402 @HaHaGentherapie @AR146XI @BkassaNamoomba @Alex72377946 @Ladyjustice1312 @PaulGanck @DominiekC @joyce2104 @splint_s @ErikCumps @ryuuk_ex @HansLandman @cwitteveen1 @Charlot2409 @JanssenJh @LaceyX1989 @Singing_BumbleB @Luketheduke1960 @Bartje46198812 Excess mortality has correlated to COVID infection, even before COVID vaccines were available
https://t.co/5fhnHFliSh
https://t.co/1PEVV6fgBb
https://t.co/Dbr7oOL6Vu
https://t.co/IGoFbhC9KD
Jan 28, 2025 · 3 likes · 1 share · 576 followersView post →
MB
Makhnista do Trem Bala ★
@tiagrado · X
@kaliel @oatila as notas da comunidade sobre esse vídeo são bem esclarecedoras
COVID caused excess deaths in 2020, before COVID vaccines became available https://t.co/wPL4wyM9Cb https://t.co/aOWl4sUaoE
Article très intéressant sur la mortalité sous-évaluée des morts Covid dans certains pays (Inde Chine Russie etc).
Les résultats sont toujours édifiants.
https://t.co/8VrV8Qcb7H
@ActuaryByDay Seems even ourwordindata doesn't like to be associated with the data ...
And the original paper contains a long list of data limitations and caveats. (Since you don't bother to mention it)
https://t.co/aXNpzbe31K https://t.co/DE7RrMZZkJ
@Witzbold2020 @lepolymath88 @Debunk_the_Funk @FatEmperor The excess data are from Karlinsky and Kobak (2021) https://t.co/VdwjG9LUIK
Here is a link to their data that they have continued to update over time: https://t.co/Fm4nMGtOBe
Here is a link to the full data set and scripts to generate the plots:
https://t.co/tQbTUWVRr6
Oct 15, 2024 · 1 like · 14,532 followersView post →
AS
Atomsk's Sanakan
@AtomsksSanakan · X
@imjustaK9 @rdmorris I'll find you making stuff up on topics you don't understand to suit your preferred narrative.
https://t.co/1GeqG7Iicl
"lockdowns are not associated with large numbers of deaths in places that avoided large COVID-19 epidemics"
https://t.co/FXdkgUuJFH
https://t.co/9EpxiCghLh https://t.co/8e807zx3yC
@imjustaK9 @rdmorris OWID estimates come from WMD, which was later made part of the WHO's estimates.
https://t.co/rrIPFL5EHQ
https://t.co/9EpxiCghLh
[https://t.co/YXtBXjgHit
https://t.co/xnmrvYiKxx]
https://t.co/pYuyYH9I28
@emeicen I’ve already answered that question. The baseline fits a trend to death counts observed between 2015 and 2019 and projects it forward.
The method is described in the linked paper.
https://t.co/5lGjiHPFM9
Jun 28, 2024 · 1 like · 19,769 followersView post →
Jun 27, 2024 · 3 likes · 2 shares · 3,612 followersView post →
L
Lily
@bravopipianda · X
@bkbtower @d4 @stkirsch Here is a picture for you to look at.
Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset https://t.co/5v9RhayIVD
RT @Debunk_the_Funk: @ZubyMusic Here are the sources for everything I said in this conversation if anyone is interrelated:
The deadly imp…
Jun 16, 2024 · 6 shares · 466 followersView post →
S
Showboat7
@Showboat7 · X
RT @Debunk_the_Funk: @ZubyMusic Here are the sources for everything I said in this conversation if anyone is interrelated:
The deadly imp…
Jun 12, 2024 · 6 shares · 1,477 followersView post →
AS
Atomsk's Sanakan
@AtomsksSanakan · X
@jsm2334 @realDon0tB4g0t @UncleJo46902375 @jneill @Jean__Fisch @Takeastepback16 @dobssi @hmatejx Yeah, Karlinsky + Kobak's covered a lot of this in their paper.
https://t.co/9EpxiCgPAP https://t.co/WL9hMb2I4v
Jun 11, 2024 · 2 likes · 3,345 followersView post →
AS
Atomsk's Sanakan
@AtomsksSanakan · X
@GidMK @BMJPublicHealth @ArielKarlinsky @hippopedoid Yup, implicitly taken from their World Mortality Dataset (WMD):
https://t.co/9EpxiCgPAP
"produced by Ariel Karlinsky and Dmitry Kobak"
https://t.co/N0l3xFTSVt
https://t.co/TRDSeikFvf
When Karlinsky incorporated the WMD into the WHO's work, they noted:
https://t.co/pYuyYHafRG https://t.co/2Heu4w6mjt
Jun 11, 2024 · 2 likes · 3,345 followersView post →
SG
Stephen Griffin
@SGriffin_Lab · X
RT @ActuaryByDay: @BMJPublicHealth Here is an example of a section of text in the @BMJPublicHealth article that has been copied and pasted…
Jun 10, 2024 · 7 shares · 27,526 followersView post →
DM
Dr Martin
@MartinRemains · X
RT @ActuaryByDay: @BMJPublicHealth Here is an example of a section of text in the @BMJPublicHealth article that has been copied and pasted…
Jun 10, 2024 · 7 shares · 26,370 followersView post →
BV
Bella Vivat
@Bellavivat · X
RT @ActuaryByDay: @BMJPublicHealth Here is an example of a section of text in the @BMJPublicHealth article that has been copied and pasted…
Jun 10, 2024 · 7 shares · 1,882 followersView post →
DR
Dr Duncan Robertson
@Dr_D_Robertson · X
RT @ActuaryByDay: @BMJPublicHealth Here is an example of a section of text in the @BMJPublicHealth article that has been copied and pasted…
Jun 10, 2024 · 7 shares · 19,779 followersView post →
PS
Prof. Christina Pagel - @chrischirp.bsky.social
@chrischirp · X
RT @ActuaryByDay: @BMJPublicHealth Here is an example of a section of text in the @BMJPublicHealth article that has been copied and pasted…
Jun 10, 2024 · 7 shares · 178,912 followersView post →
SM
stuart mcdonald
@ActuaryByDay · X
RT @ActuaryByDay: @BMJPublicHealth Here is an example of a section of text in the @BMJPublicHealth article that has been copied and pasted…
Jun 10, 2024 · 7 shares · 19,769 followersView post →
SM
stuart mcdonald
@ActuaryByDay · X
@BMJPublicHealth Here is an example of a section of text in the @BMJPublicHealth article that has been copied and pasted from @eLife.
I have highlighted in yellow everything that is copied word-for-word.
This is the substance of the study design section.
https://t.co/aV1GnBggAW https://t.co/i6QnZXnJhh
Jun 10, 2024 · 31 likes · 7 shares · 19,769 followersView post →
SM
stuart mcdonald
@ActuaryByDay · X
@Mark_Ungrin @ArielKarlinsky @hippopedoid Here is an example.
I've highlighted in yellow everything that is a direct word-for-word copy and paste from the source https://t.co/fVMQqoikK3 https://t.co/xZ7qYPOmEn
Jun 10, 2024 · 2 likes · 19,769 followersView post →
DS
Dominik Steiger
@dominiksteiger.bsky.social · Bluesky
Here compared to the Karlinsky and Kobak excess mortality dataset (github.com/dkobak/exces... and elifesciences.org/articles/69336).
RT @Debunk_the_Funk: @ZubyMusic Here are the sources for everything I said in this conversation if anyone is interrelated:
The deadly imp…
Jun 8, 2024 · 6 shares · 33,064 followersView post →
DF
Debunk the Funk
@Debunk_the_Funk · X
@ZubyMusic Here are the sources for everything I said in this conversation if anyone is interrelated:
The deadly impact of COVID that is missed by focusing on an IFR number:
https://t.co/5bQpP7MoP8
https://t.co/M4lZ3xT9W7
Comorbidities in the US:
https://t.co/9vaF90OsyJ
Jun 8, 2024 · 43 likes · 6 shares · 33,064 followersView post →
DF
Debunk the Funk
@Debunk_the_Funk · X
@charles______9 @AnnadeBuisseret @JoshWalkos Did he not post the sources I sent him. Well, here they are copied from the email I sent him after we talked:
The deadly impact of COVID that is missed by focusing on an IFR number:
https://t.co/5bQpP7MoP8
https://t.co/M4lZ3xT9W7
Comorbidities in the US:
Jun 8, 2024 · 1 like · 33,064 followersView post →
DF
Debunk the Funk
@Debunk_the_Funk · X
@tonythetigger1 @PaCardiology @TheChiefNerd Nope, the number is actually underestimated from the official counts. What’s your next talking point? https://t.co/5bQpP7MWEG
@DudeDudley2018 2/
In the foregoing graph vaccines -- the blue line shows vaccines given, and you can see that the excess deaths track with the red lines, not the blue lines of vaccines given (except when vaccine waves were during major covid surges).
Reference:
https://t.co/WteOsV2kFu
@imjustaK9 @bobbywarnsiii @rdmorris @Stanford More evidence-free ideological ranting + conspiracism from you.
"lockdowns are not associated with large numbers of deaths in places that avoided large COVID-19 epidemics"
https://t.co/FXdkgUuJFH
https://t.co/9EpxiCghLh https://t.co/Giefb8WVTx
Apr 18, 2024 · 1 like · 3,345 followersView post →
AS
Atomsk's Sanakan
@AtomsksSanakan · X
@imjustaK9 @rdmorris @Stanford Again:
Excess deaths were due to COVID-19 + indicate underreporting of COVID-19 deaths.
https://t.co/V4RTQli9cQ
"lockdowns are not associated with large numbers of deaths in places that avoided large COVID-19 epidemics"
https://t.co/FXdkgUuJFH
https://t.co/9EpxiCghLh https://t.co/8mBAMIPO1T
@USMortality @rdmorris @Stanford Stop trolling.
https://t.co/n35b22F9Uy
"lockdowns are not associated with large numbers of deaths in places that avoided large COVID-19 epidemics"
https://t.co/FXdkgUvhvf
https://t.co/9EpxiCgPAP https://t.co/2Q92Qlqazm
@RoyHurst3 @rdmorris @DrJBhattacharya So you're deflecting from the thread's topic using ideological claims you provide no basis for.
https://t.co/49VAyBYZo8
"lockdowns are not associated with large numbers of deaths in places that avoided large COVID-19 epidemics"
https://t.co/FXdkgUuJFH
https://t.co/9EpxiCghLh https://t.co/QGPTX6fokD
@FSBuchholzer @AlastairMcA30 @MartinKulldorff And so on...
https://t.co/NBAfDS53E0
[https://t.co/zXliTQhZ6v
https://t.co/lTv0TFiw3K
https://t.co/ZekBZZmUxk]
https://t.co/JN4fhgdjxg
https://t.co/rg1bP4A4Kt
[https://t.co/FXdkgUuJFH
https://t.co/9EpxiCghLh
https://t.co/pYuyYH9I28]
https://t.co/Sp0i7RPbA0 https://t.co/1ZeZCn9pgG
Mar 12, 2024 · 6 likes · 3,345 followersView post →
AS
Atomsk's Sanakan
@AtomsksSanakan · X
@TheRustler83 @dr_jon_l You likely didn't account for the pre-pandemic trend when calculating excess deaths.
https://t.co/iliAN0Tm1G
https://t.co/oI0mugzkBK
https://t.co/qcc0x1fSKR
https://t.co/9EpxiCghLh https://t.co/2Nq4A5J4zb
@ShadowGovts @SPKolten @FiveTimesAugust Who is "they"?
The mass conspirators from every country, all in on a nefarious plot to control their populations?
Your claim is not supported by the vast majority of data and research.
https://t.co/6smmn7B2qX
https://t.co/HetdafpOE3
https://t.co/L4YRhbggrq
Background paper on the method used by
@hippopedoid and @ArielKarlinsky.
https://t.co/ACySiLQurJ
Feb 13, 2024 · 4 likes · 15,053 followersView post →
EM
(ex danny_mst)
@gedanken_lost · X
@falscherschuh @SHomburg Letzteres mit allen Daten und dem Code zum selbst kontrollieren (tsja, ist Wssenschaft, das muss nicht jeder 08/15-Küchen-Statistiker nachvollziehen können, aber Homburg als Matlab-König und Programmierer kann das sicher!)
und:
https://t.co/eFMJCCmoTV
https://t.co/56grPUlgEy
Jan 12, 2024 · 11 likes · 2 shares · 2,155 followersView post →
BW
Bruce Hudson Writes
@BHudsonWrites · X
@AlanaNewmanCA @SkepticJonGuy @MauritzPreller The Our World in Data which you refer to as a "Provax screenshot" has the data sources referenced, and one paper (linked below).
What evidence are you basing your so far unsupported claim of manipulation on?
https://t.co/r8eENr4Ez4
@soundreece @Elvisnspiders @WaitingForPerot @morphnz68 You don't calculate excess based on the average from prior years.
You calculate based on the trend.
Another instance of you being a non-expert contrarian trying to reach your preferred ideologically-motivated conclusion.
https://t.co/vQcbCcydBz
https://t.co/9EpxiCghLh https://t.co/so5VaRMqb2
@Ttebrocken @JosephFraiman @denisrancourt @hmatejx Excess mortality data is estimated by Karlinsky & Kobak, 2021, Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset. eLife 10:e69336. As this is a key part of the visualization, the reader is encourage to read the article to
Jan 7, 2024 · 3 likes · 1 share · 14,532 followersView post →
AC
Ajin Cherian
@itsajin · X
@CaryDavid722 @MauritzPreller @BHudsonWrites No, this.
https://t.co/9WjIkZQqml
@CaryDavid722 @MauritzPreller @BHudsonWrites If you read the text at the top of the graph, it would take you to the peer reviewed and published study.
https://t.co/HP8LhtmAOJ
https://t.co/9WjIkZQqml
@dobssi This seems to be their key rebuttal of Johansson's argument, but what, then, are "the well-documented problems with the metric"? No reference, no nothing. What is it that China and war experts know that people who *actually* work in the field don't know? https://t.co/qGmFPYnCYN https://t.co/YVLeAbF61W
@Marc_Veld great thread. @hippopedoid and I have a similar argument and "history" of excess mortality in our @eLife paper (https://t.co/bCudrKhZ6d).
We detected high excess mortality in countries without or very limited vaccination... https://t.co/MmkBSXpxNM
Dec 6, 2023 · 3 likes · 2 shares · 8,728 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
@UncleJo46902375 The fact the ghouls who previously completely ignored covid-excess deaths are now shouting about it from the rooftops will never cease to amaze me.
I wish all counties had excess like NZ. They didn't.
https://t.co/bCudrKhZ6d https://t.co/6Fh3irOjsU
Dec 4, 2023 · 2 likes · 8,728 followersView post →
H
Hosenmaus
@Hosenmaus1 · X
@missingPNW @FauclDr @kakashiresearch @AliCologne Peru 153% Ecuador 80% Mexico 61% Brazil 40% Russia 28% Chile 27% US 22% Italy 19% UK 18% Swiss 13% NL, France 12% Sweden 10% usw.
Metaanalyse..! Die weltweit größte Studie zum Thema, an der Statistikämter, Studien usw. mitgewirkt haben
https://t.co/CWhCnM8Fib
Nov 18, 2023 · 3 likes · 14,753 followersView post →
NM
Netochka Nezvanova, menos 3%
@NetNezva · X
@lucasllach @etchemen @mmbarrionuevo el paper: Karlinsky & Kobak, 2021, Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset. eLife 10:e69336. https://t.co/5Yd7NxFfjr
los datos actualizados: https://t.co/bULtnflAT1
Nov 13, 2023 · 1 like · 5,344 followersView post →
T
Testus
@erst_ueberlegen · X
RT @Hosenmaus1: @ArnoldWerWo @MathiasPriebe @gettrTim_ODIN @st_hennermann @SHomburg @WahnSager @humbughund Corona hatte bereits 2020 Überst…
Nov 6, 2023 · 4 shares · 1,090 followersView post →
T
TheNormalPlayer
@TheNormalPlaye4 · X
RT @Hosenmaus1: @ArnoldWerWo @MathiasPriebe @gettrTim_ODIN @st_hennermann @SHomburg @WahnSager @humbughund Corona hatte bereits 2020 Überst…
RT @Hosenmaus1: @ArnoldWerWo @MathiasPriebe @gettrTim_ODIN @st_hennermann @SHomburg @WahnSager @humbughund Corona hatte bereits 2020 Überst…
Nov 5, 2023 · 4 shares · 1,529 followersView post →
H
Hosenmaus
@Hosenmaus1 · X
@ArnoldWerWo @MathiasPriebe @gettrTim_ODIN @st_hennermann @SHomburg @WahnSager @humbughund Corona hatte bereits 2020 Übersterblichkeit. Ohne Impfung
Siehe Q1, q2, Q3
Größte Übersterblichkeitsmetastudie der Welt q1
https://t.co/CWhCnM8Fib
8% im April 2020 Q2
https://t.co/QNPdZyQjls
29% Übersterblichkeit in der Winterwelle 2020 Q3
https://t.co/BltX2KS073
Nov 5, 2023 · 15 likes · 4 shares · 14,753 followersView post →
L
LesNorton
@LesNortonAu · X
@AJemaineClement The source of the data is Karlinsky & Kobak. So I googled them and found the article https://t.co/qDPGKsFmQM
Gathering accurate data was impossible. Peru etc 50% above expected. In numbers it was 400 more in 100,000, 0.4%. Data can be manipulated so easily.
Super interesting:
"While many countries have been reporting COVID-19 deaths very accurately, some countries have been substantially underreporting their COVID-19 deaths (e.g. Nicaragua, Russia, Uzbekistan), by up to 2 orders of magnitude (Tajikistan)."
https://t.co/2N7TaD2vsO https://t.co/Alv5H2K5OL
Oct 27, 2023 · 4 likes · 26,242 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
@paulnovosad This is what @eLife does and it's the best peer-review I've ever had: "The reviewers have discussed their reviews with one another, and the Reviewing Editor has drafted this to help you prepare a revised submission."
the entire process is with the paper:
https://t.co/P7yzvX60rS
Oct 27, 2023 · 4 likes · 8,728 followersView post →
AS
Anker Schiff
@AnkerSchiff · X
RT @ArielKarlinsky: Excess mortality across the world with the World Mortality Dataset - officially published at @eLife!
https://t.co/bCud…
Oct 20, 2023 · 364 shares · 939 followersView post →
AS
Atomsk's Sanakan
@AtomsksSanakan · X
@AlexanderOwen89 @TheEliKlein @CovidSerology They were under the same mitigation conditions (ex: NPIs, behavior changes, etc.).
Those were the conditions at the time.
You decided to deflect to earlier seasons where the mitigation conditions were not the same + SARS-CoV-2 was not even present.
https://t.co/9EpxiCghLh https://t.co/lGyfNm59kT
@prof_freedom @MartinKulldorff @NateSilver538 @OurWorldInData @MortalityWatch The methodology specific to excess mortality estimates is here:
https://t.co/qnTUiY8HgQ
@Osiris74308060 @BerNeu44 @MarcusFrey_KA @KlausEuteneuer @tagesschau Das ist korrekt.
Weltweit größte Metastudie inkl. Metaanalyse der Übersterblichkeitsrate:
Überraschung. Schweden hat als schlechtester in seiner Region abgeschnitten. Surprise.
https://t.co/CWhCnM8Fib https://t.co/OVH8Q3kciQ
Oct 1, 2023 · 1 like · 14,753 followersView post →
C
Clannad99
@Clannad992 · X
RT @Hosenmaus1: @BerNeu44 @MarcusFrey_KA @KlausEuteneuer @tagesschau Nein, Schweden hat trotz hohem Stringency index mit großem Abstand am…
Oct 1, 2023 · 3 shares · 2,317 followersView post →
NF
neither.true.nor.false
@NorFalse · X
RT @Hosenmaus1: @BerNeu44 @MarcusFrey_KA @KlausEuteneuer @tagesschau Nein, Schweden hat trotz hohem Stringency index mit großem Abstand am…
Oct 1, 2023 · 3 shares · 3,570 followersView post →
RT @ArielKarlinsky: #WorldMortality update
New data:
Suriname 2021 data
Tajikistan 2021
Significant excess mortality in both.
Extremely…
Mar 10, 2023 · 1 share · 1,586 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update
New data:
Suriname 2021 data
Tajikistan 2021
Significant excess mortality in both.
Extremely heavily undercounted in Tajikistan.
Data, Estimates, Paper:
https://t.co/DUd3QAVBOb
https://t.co/HfwtER3luO
https://t.co/bokyV6BEug
#poptwitter #epitwitter https://t.co/hApjivmcCr
Mar 9, 2023 · 5 likes · 1 share · 8,728 followersView post →
CI
COVID Impact
@CovidSerology · X
RT @ArielKarlinsky: #WorldMortality update
New countries:
Turkey (2015-2021)
United Arab Emirates (2018-2020).
Significant excess morta…
Feb 25, 2023 · 1 share · 1,586 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update
New countries:
Turkey (2015-2021)
United Arab Emirates (2018-2020).
Significant excess mortality closely tracks reported Covid deaths in both.
Data, Estimates, Paper:
https://t.co/DUd3QAV3YD
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI https://t.co/RLrog3AG8X
Feb 25, 2023 · 8 likes · 1 share · 8,728 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
@Chaisnight @hippopedoid Yes, this is excess deaths. You can read more about what it is, how we measure it and what it means in our @eLife paper:
https://t.co/bokyV6B6EI
Feb 14, 2023 · 3 likes · 8,728 followersView post →
CI
COVID Impact
@CovidSerology · X
RT @ArielKarlinsky: #WorldMortality update:
Full 2022 data and estimates for USA and Ireland (and more...)
Data, Estimates, Paper:
https:…
Feb 3, 2023 · 2 shares · 1,586 followersView post →
E
epibot
@epi_twit · X
RT @ArielKarlinsky: #WorldMortality update:
Full 2022 data and estimates for USA and Ireland (and more...)
Data, Estimates, Paper:
https:…
Feb 3, 2023 · 2 shares · 3,123 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update:
Full 2022 data and estimates for USA and Ireland (and more...)
Data, Estimates, Paper:
https://t.co/DUd3QAV3YD
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
#epitwitter #poptwitter https://t.co/PGSPXlCJlQ
Feb 3, 2023 · 10 likes · 2 shares · 8,728 followersView post →
E
epibot
@epi_twit · X
RT @ArielKarlinsky: #WorldMortality update:
Japan: Nov 2022 data.
Maldives: Full 2021 data.
Data, Estimates, Paper:
https://t.co/DUd3QAVB…
Jan 25, 2023 · 1 share · 3,123 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update:
Japan: Nov 2022 data.
Maldives: Full 2021 data.
Data, Estimates, Paper:
https://t.co/DUd3QAVBOb
https://t.co/HfwtER3luO
https://t.co/bokyV6BEug
#epitwitter #poptwitter https://t.co/68rxa5S68u
Jan 25, 2023 · 3 likes · 1 share · 8,728 followersView post →
CI
COVID Impact
@CovidSerology · X
RT @ArielKarlinsky: #WorldMortality update: Nicaragua full 2021 data.
Peak excess deaths :September 2021 at 182%.
Data, Estimates, Paper:…
Jan 23, 2023 · 4 shares · 1,586 followersView post →
IS
Ido Shamir
@IdoShamirIdo · X
RT @ArielKarlinsky: #WorldMortality update: Nicaragua full 2021 data.
Peak excess deaths :September 2021 at 182%.
Data, Estimates, Paper:…
Jan 16, 2023 · 4 shares · 428 followersView post →
E
epibot
@epi_twit · X
RT @ArielKarlinsky: #WorldMortality update: Nicaragua full 2021 data.
Peak excess deaths :September 2021 at 182%.
Data, Estimates, Paper:…
Jan 16, 2023 · 4 shares · 3,123 followersView post →
Jan 16, 2023 · 8 likes · 4 shares · 8,728 followersView post →
CI
COVID Impact
@CovidSerology · X
RT @ArielKarlinsky: #WorldMortality update: 2 new countries!
Now @ 122 countries & territories.
Bahamas: 2015-2021 data.
Saint Vincent an…
Dec 25, 2022 · 3 shares · 1,586 followersView post →
CI
COVID Impact
@CovidSerology · X
RT @ArielKarlinsky: #WorldMortality update
Japan: Aug 2022 - 17.5% higher than expected.
Kuwait: Full 2021 - 44% higher than expected.
D…
Dec 25, 2022 · 4 shares · 1,586 followersView post →
V
Victor
@viciykevin · X
RT @ArielKarlinsky: #WorldMortality update
Japan: Aug 2022 - 17.5% higher than expected.
Kuwait: Full 2021 - 44% higher than expected.
D…
Nov 24, 2022 · 4 shares · 594 followersView post →
AS
Atomsk's Sanakan
@AtomsksSanakan · X
RT @ArielKarlinsky: #WorldMortality update
Japan: Aug 2022 - 17.5% higher than expected.
Kuwait: Full 2021 - 44% higher than expected.
D…
Nov 9, 2022 · 4 shares · 3,345 followersView post →
E
epibot
@epi_twit · X
RT @ArielKarlinsky: #WorldMortality update
Japan: Aug 2022 - 17.5% higher than expected.
Kuwait: Full 2021 - 44% higher than expected.
D…
Oct 30, 2022 · 4 shares · 3,123 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
There have been a lot of updates to #WorldMortality since my most recent post about it.
We update it about 1-2 times a week so keep following our data, estimates and paper:
https://t.co/DUd3QAV3YD
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
Oct 30, 2022 · 4 likes · 8,728 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update
Japan: Aug 2022 - 17.5% higher than expected.
Kuwait: Full 2021 - 44% higher than expected.
Data, Estimates, Paper:
https://t.co/DUd3QAV3YD
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
#epitwitter #poptwitter https://t.co/AFYyA43LSv
Oct 30, 2022 · 12 likes · 4 shares · 8,728 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
@FabrizioChiodo @gianlucac1 @GainOfDystopia @fitterhappierAJ I said that I find reported COVID stats in Cuba, as in many other countries, unreliable. So claiming that Cuban vaccine is great using such data is dubious.
What experts have you talked to about excess mortality? I can suggest you read our paper on this: https://t.co/bokyV6BEug
Oct 22, 2022 · 1 like · 8,728 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
@yoram_gat @YaacovRitov הנתונים והאומדנים של OWID מגיעים מאיתנו (World Mortality Dataset). לעניות דעתי, באזור ה-100% מהתמותה העודפת היא קורונה.
פרטים נוספים על המאגר והניתוח אפשר למצוא במאמר שלנו:
https://t.co/bokyV6BEug
למה אתה מתכוון ספציפית שאתה כותב "תמותה עודפת שאינה מיוחסת לקורונה"?
Oct 18, 2022 · 1 like · 8,728 followersView post →
E
epibot
@epi_twit · X
RT @ArielKarlinsky: #WorldMortality update: 2 new countries!
Now @ 122 countries & territories.
Bahamas: 2015-2021 data.
Saint Vincent an…
Oct 11, 2022 · 3 shares · 3,123 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update: 2 new countries!
Now @ 122 countries & territories.
Bahamas: 2015-2021 data.
Saint Vincent and the Grenadines: 2015-2021 data.
Data, Estimates, Paper:
https://t.co/DUd3QAVBOb
https://t.co/HfwtER3luO
https://t.co/bokyV6BEug
#epitwitter #poptwitter https://t.co/Y7Mvill6Rs
Oct 11, 2022 · 11 likes · 3 shares · 8,728 followersView post →
CI
COVID Impact
@CovidSerology · X
RT @ArielKarlinsky: #WorldMortality update
Jordan: monthly 2021 data. total deaths 36% higher than expected.
Taiwan: Jul-Aug 2022. 17% hig…
There have been a lot of updates to #WorldMortality since my most recent post about it.
We update it about 1-2 times a week so keep following our data, estimates and paper:
https://t.co/ZXnczLNUJD
https://t.co/HfwtER3luO
https://t.co/bokyV6BEug
RT @ArielKarlinsky: #WorldMortality update
Hong Kong: April 2022 67% excess.
Japan: April 2022 2.8% excess.
Data, Estimates, Paper:
https…
Jun 28, 2022 · 5 shares · 1,586 followersView post →
DV
Derrick VanGennep
@VanGennepD · X
RT @ArielKarlinsky: #WorldMortality update
Hong Kong: April 2022 67% excess.
Japan: April 2022 2.8% excess.
Data, Estimates, Paper:
https…
Jun 26, 2022 · 5 shares · 2,264 followersView post →
E
epibot
@epi_twit · X
RT @ArielKarlinsky: #WorldMortality update
Hong Kong: April 2022 67% excess.
Japan: April 2022 2.8% excess.
Data, Estimates, Paper:
https…
Jun 26, 2022 · 5 shares · 3,123 followersView post →
BG
Ben Gera
@BenGera9 · X
RT @ArielKarlinsky: #WorldMortality update
Hong Kong: April 2022 67% excess.
Japan: April 2022 2.8% excess.
Data, Estimates, Paper:
https…
Jun 26, 2022 · 5 shares · 188 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update
Hong Kong: April 2022 67% excess.
Japan: April 2022 2.8% excess.
Data, Estimates, Paper:
https://t.co/ZXnczLNmU5
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
#epitwitter #poptwitter https://t.co/P22WfrQkGs
Jun 26, 2022 · 16 likes · 5 shares · 8,728 followersView post →
CI
COVID Impact
@CovidSerology · X
RT @ArielKarlinsky: #WorldMortality update
Brazil: Final* 2021 data and preliminary Jan-Apr 2022. Apr 2022: 1st time no excess since Mar 2…
Jun 14, 2022 · 2 shares · 1,586 followersView post →
E
epibot
@epi_twit · X
RT @ArielKarlinsky: #WorldMortality update
Brazil: Final* 2021 data and preliminary Jan-Apr 2022. Apr 2022: 1st time no excess since Mar 2…
Jun 11, 2022 · 2 shares · 3,123 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update
Brazil: Final* 2021 data and preliminary Jan-Apr 2022. Apr 2022: 1st time no excess since Mar 2020.
Egypt: Feb 2022 42% excess.
Data, Estimates, Paper:
https://t.co/ZXnczLNmU5
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
#epitwitter #poptwitter https://t.co/iSDVwb5mFM
Jun 11, 2022 · 14 likes · 2 shares · 8,728 followersView post →
E
Eingeigelt
@studymaze · X
RT @ArielKarlinsky: #WorldMortality update
Cuba: Full 2021 data. Peak at 194% excess.
Uruguay: March 2022 at 12% excess.
Data, Estimates,…
RT @ArielKarlinsky: #WorldMortality update
Cuba: Full 2021 data. Peak at 194% excess.
Uruguay: March 2022 at 12% excess.
Data, Estimates,…
Jun 3, 2022 · 3 shares · 1,586 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update
Cuba: Full 2021 data. Peak at 194% excess.
Uruguay: March 2022 at 12% excess.
Data, Estimates, Paper:
https://t.co/ZXnczLNmU5
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
#epitwitter #poptwitter https://t.co/eGPthW5ghn
Jun 2, 2022 · 12 likes · 3 shares · 8,728 followersView post →
C
Cioccolata234
@Cioccolata234 · X
RT @ArielKarlinsky: #WorldMortality update
Australia: Feb 2022 data. Latest week 10% excess.
Japan: March 2022 at 9% excess.
Data, Estima…
May 28, 2022 · 6 shares · 3,874 followersView post →
よ
ようこ
@ykamegame · X
RT @ArielKarlinsky: #WorldMortality update
Australia: Feb 2022 data. Latest week 10% excess.
Japan: March 2022 at 9% excess.
Data, Estima…
May 27, 2022 · 6 shares · 335 followersView post →
IT
Ilze du Toit
@toit_ilze · X
RT @ArielKarlinsky: #WorldMortality update
Australia: Feb 2022 data. Latest week 10% excess.
Japan: March 2022 at 9% excess.
Data, Estima…
May 27, 2022 · 6 shares · 516 followersView post →
DS
Double Individual Speculator
@x2IndSpeculator · X
RT @ArielKarlinsky: #WorldMortality update
Australia: Feb 2022 data. Latest week 10% excess.
Japan: March 2022 at 9% excess.
Data, Estima…
May 27, 2022 · 6 shares · 2,347 followersView post →
CI
COVID Impact
@CovidSerology · X
RT @ArielKarlinsky: #WorldMortality update
Australia: Feb 2022 data. Latest week 10% excess.
Japan: March 2022 at 9% excess.
Data, Estima…
May 27, 2022 · 6 shares · 1,586 followersView post →
CI
COVID Impact
@CovidSerology · X
RT @ArielKarlinsky: #WorldMortality update
French Polynesia: Full 2021 data.
Hong Kong: March 2022 at 109% excess.
Data, Estimates, Paper…
May 27, 2022 · 2 shares · 1,586 followersView post →
E
epibot
@epi_twit · X
RT @ArielKarlinsky: #WorldMortality update
Australia: Feb 2022 data. Latest week 10% excess.
Japan: March 2022 at 9% excess.
Data, Estima…
May 27, 2022 · 6 shares · 3,123 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update
Australia: Feb 2022 data. Latest week 10% excess.
Japan: March 2022 at 9% excess.
Data, Estimates, Paper:
https://t.co/ZXnczLNmU5
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
#epitwitter #poptwitter https://t.co/mBT99Ty5zi
May 27, 2022 · 17 likes · 6 shares · 8,728 followersView post →
E
epibot
@epi_twit · X
RT @ArielKarlinsky: #WorldMortality update
French Polynesia: Full 2021 data.
Hong Kong: March 2022 at 109% excess.
Data, Estimates, Paper…
May 24, 2022 · 2 shares · 3,123 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update
French Polynesia: Full 2021 data.
Hong Kong: March 2022 at 109% excess.
Data, Estimates, Paper:
https://t.co/ZXnczLNmU5
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
#epitwitter #poptwitter https://t.co/Wu5VbHAX78
May 24, 2022 · 7 likes · 2 shares · 8,728 followersView post →
excessive deaths for the first 4mths of this year for chosen countries. scaled to country population.
looks like regardless what the policy in given country is it converges to zero
data source:https://t.co/wZVL5z26Sj
#COVID https://t.co/hmuzf1mcz0
Data, Estimates, Paper:
https://t.co/ZXnczLNmU5
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
Many thanks to @KarenCutter4 for discussions how to best turn doctor certified deaths to all deaths before @ABSStats kindly provided the complete raw data by week.
#WorldMortality Caribbean update
Jamaica: Full 2020 and 2021 up to Nov. data.
Puerto Rico: Start of 2022 data.
Data, Estimates, Paper:
https://t.co/ZXnczM4XLD
https://t.co/HfwtEQLcgG
https://t.co/bokyV6SHwg
#epitwitter #poptwitter https://t.co/klOsKnpuuz
If you use this data, please cite it as:
Karlinsky & Kobak 2021, Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset, eLife https://t.co/wR4U4ygvfd
World Mortality coverage 3/11
RT @ArielKarlinsky: #WorldMortality update
Australia: Full 2021 data.
Georgia: Feb 2021 data.
Data, Estimates, Paper:
https://t.co/ZXncz…
Mar 31, 2022 · 2 shares · 1,586 followersView post →
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epibot
@epi_twit · X
RT @ArielKarlinsky: #WorldMortality update
Australia: Full 2021 data.
Georgia: Feb 2021 data.
Data, Estimates, Paper:
https://t.co/ZXncz…
Mar 31, 2022 · 2 shares · 3,123 followersView post →
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Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update
Australia: Full 2021 data.
Georgia: Feb 2021 data.
Data, Estimates, Paper:
https://t.co/ZXnczLNmU5
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
#epitwitter #poptwitter https://t.co/UypxIoiR9J
Mar 31, 2022 · 8 likes · 2 shares · 8,728 followersView post →
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Ariel Karlinsky
@ArielKarlinsky · X
@WashburneAlex @JHowardBrainMD Alex, are you aware of excess mortality estimates of the burden of C19? because it doesn't seem like you are. There are many great works on this, I know mine the best and you can find it here: https://t.co/bokyV6B6EI
re: Ioannidis, see this:
https://t.co/wg3TNx1TXB
Mar 30, 2022 · 3 likes · 8,728 followersView post →
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Ariel Karlinsky
@ArielKarlinsky · X
@maoritzk @LittleMoiz @rutihersh ייחוס = תמותה לולא קורונה.
מחושב על ידי ממוצע שבועי 2015 עד 2019 בתוספת המגמה השנתית בתמותה. המודל שלנו כולל בתקופת הבסיס ולכן בצפי גם שפעות. מפרטים על זה במאמר, וגם מזכירים מודלים אחרים שבכוונה לא כוללים שפעות עבר כי (בין השאר) מטרתם למצוא גלי שפעת:
https://t.co/bokyV6B6EI
Mar 30, 2022 · 2 likes · 8,728 followersView post →
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Ariel Karlinsky
@ArielKarlinsky · X
@rutihersh @LittleMoiz זה נקרא הזדקנות. לא גידול אוכלוסייה. הנורמה יכולה להיות מוגדרת באינסוף דרכים. ספציפית אצלי ואצל הלמס (הם משתמשים במודל שלי) זה ממוצע תקופתי (חודשי\רבעוני) 2015-2019 והמגמה בתמותה. לפרטים נוספים אני ממליץ על המאמר שלנו שמציג את המודל ודן בו:
https://t.co/bokyV6B6EI
Mar 30, 2022 · 3 likes · 8,728 followersView post →
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Wanda Gonsowsky
@calmrainyday · X
RT @ArielKarlinsky: @DrorMevorach תת-דיווח זה לא "סתם". במעט המדינות באפריקה שיש לנו עבורן נתוני תמותה כללית, יש תת דיווח משמעותי - במצרים…
Mar 29, 2022 · 2 shares · 1,825 followersView post →
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Marco Piani
@Marco_Piani · X
RT @ArielKarlinsky: #WorldMortality update
Japan: Jan 2022 data. small deficit deaths.
Serbia: Feb 2002. 44% excess.
Data, Estimates, Pap…
Mar 29, 2022 · 3 shares · 4,063 followersView post →
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Ben Gera
@BenGera9 · X
RT @ArielKarlinsky: @DrorMevorach תת-דיווח זה לא "סתם". במעט המדינות באפריקה שיש לנו עבורן נתוני תמותה כללית, יש תת דיווח משמעותי - במצרים…
Mar 29, 2022 · 2 shares · 188 followersView post →
CI
COVID Impact
@CovidSerology · X
RT @ArielKarlinsky: #WorldMortality update
Japan: Jan 2022 data. small deficit deaths.
Serbia: Feb 2002. 44% excess.
Data, Estimates, Pap…
Mar 29, 2022 · 3 shares · 1,586 followersView post →
E
epibot
@epi_twit · X
RT @ArielKarlinsky: #WorldMortality update
Japan: Jan 2022 data. small deficit deaths.
Serbia: Feb 2002. 44% excess.
Data, Estimates, Pap…
Mar 28, 2022 · 3 shares · 3,123 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update
Japan: Jan 2022 data. small deficit deaths.
Serbia: Feb 2002. 44% excess.
Data, Estimates, Paper:
https://t.co/ZXnczLNmU5
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
#epitwitter #poptwitter https://t.co/3hMUIApotD
Mar 28, 2022 · 13 likes · 3 shares · 8,728 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
@IanSmit29744947 @tomtom_m I suggest reading our paper on excess deaths and C19, we go into detail at this exact question:
https://t.co/bokyV6B6EI
Mar 27, 2022 · 2 likes · 8,728 followersView post →
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Der Klangwandler (Andres Staeubli)
@klangwandler · X
RT @klangwandler: @matejoresic @JeremyFarrar additional, Finland, Norway, and Denmark did not report excess mortality in 2020
@matejoresic @JeremyFarrar additional, Finland, Norway, and Denmark did not report excess mortality in 2020
Mar 24, 2022 · 1 like · 1 share · 531 followersView post →
CI
COVID Impact
@CovidSerology · X
RT @ArielKarlinsky: #WorldMortality update
Guatemala: Full 2021 data. total 2021 excess:
Saint Kitts & Nevis: New in dataset. 2015-2020 m…
Mar 18, 2022 · 2 shares · 1,586 followersView post →
E
epibot
@epi_twit · X
RT @ArielKarlinsky: #WorldMortality update
Guatemala: Full 2021 data. total 2021 excess:
Saint Kitts & Nevis: New in dataset. 2015-2020 m…
Mar 18, 2022 · 2 shares · 3,123 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update
Guatemala: Full 2021 data. total 2021 excess:
Saint Kitts & Nevis: New in dataset. 2015-2020 monthly. No significant excess in 2020.
Data, Estimates, Paper:
https://t.co/ZXnczLNmU5
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
#epitwitter #poptwitter https://t.co/w9AoFTuxvf
Mar 18, 2022 · 8 likes · 2 shares · 8,728 followersView post →
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Ariel Karlinsky
@ArielKarlinsky · X
@ffkreiner @jschoeley @FleuryPayeur @M_B_Petersen @hippopedoid Globally and in many countries excess > reported C19 is not in dispute. But IHME's model is prob. no good for country-level excess estimates.
https://t.co/uMSfQtKiS4
https://t.co/bokyV6B6EI
Mar 18, 2022 · 2 likes · 8,728 followersView post →
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Andrea La Rosa
@AndreaL97696981 · X
RT @ArielKarlinsky: #WorldMortality update
Qatar: Jan 2022 at 54% excess.
Singapore: 2021Q4 showing very significant excess for the first…
RT @ArielKarlinsky: #WorldMortality update
Qatar: Jan 2022 at 54% excess.
Singapore: 2021Q4 showing very significant excess for the first…
Mar 6, 2022 · 3 shares · 1,586 followersView post →
E
epibot
@epi_twit · X
RT @ArielKarlinsky: #WorldMortality update
Qatar: Jan 2022 at 54% excess.
Singapore: 2021Q4 showing very significant excess for the first…
Mar 6, 2022 · 3 shares · 3,123 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortality update
Qatar: Jan 2022 at 54% excess.
Singapore: 2021Q4 showing very significant excess for the first time at 24%.
Data, Estimates, Paper:
https://t.co/ZXnczLNmU5
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
#epitwitter #poptwitter https://t.co/G4U4rtCTLp
Mar 6, 2022 · 13 likes · 3 shares · 8,728 followersView post →
YT
Yes, THAT Matt Trumpets
@mattpt55 · X
RT @ArielKarlinsky: #WorldMortalty Update
Japan: Full 2021 data. Dec at small 2% excess.
Australia: November data. No excess.
Data, Estim…
Feb 25, 2022 · 3 shares · 5,493 followersView post →
E
epibot
@epi_twit · X
RT @ArielKarlinsky: #WorldMortalty Update
Japan: Full 2021 data. Dec at small 2% excess.
Australia: November data. No excess.
Data, Estim…
Feb 25, 2022 · 3 shares · 3,123 followersView post →
CI
COVID Impact
@CovidSerology · X
RT @ArielKarlinsky: #WorldMortalty Update
Japan: Full 2021 data. Dec at small 2% excess.
Australia: November data. No excess.
Data, Estim…
Feb 25, 2022 · 3 shares · 1,586 followersView post →
AK
Ariel Karlinsky
@ArielKarlinsky · X
#WorldMortalty Update
Japan: Full 2021 data. Dec at small 2% excess.
Australia: November data. No excess.
Data, Estimates, Paper:
https://t.co/ZXnczLNmU5
https://t.co/HfwtER2NFg
https://t.co/bokyV6B6EI
#epitwitter #poptwitter https://t.co/EiBE2nRuit
Feb 25, 2022 · 9 likes · 3 shares · 8,728 followersView post →
DW
Dr. Woodall
@DrWoodallND · X
RT @ikashnitsky: The main global-overview of excess deaths due to c19 is provided in the @eLife paper by @ArielKarlinsky & @hippopedoid
Th…
Feb 23, 2022 · 3 shares · 678 followersView post →
SS
Swapnil Hiremath @hswapnil.medsky.social
@hswapnil · X
RT @ikashnitsky: The main global-overview of excess deaths due to c19 is provided in the @eLife paper by @ArielKarlinsky & @hippopedoid
Th…
Feb 23, 2022 · 3 shares · 21,691 followersView post →
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Paul Eccles
@ecclespaul · X
@AgentsZar @xWilus @penseaumot @MariusCRoodt @lucrifaciendi @Paratus2014 It's been a resource which has been sharing data for some time. I think it's quite clear that Covid caused those deaths. They have studied the excess death phenomenon globally.
https://t.co/XocNLY8T5g
@InspiredMinds81 @Captain_Quirk @soetsappies @vayasophia Yes the article is actually great with loads of charts and all. They did a lot of research.
https://t.co/XocNLY8T5g
@lazyb0y @commonsense312 @svenmlr @ReinerDir @PiWi2701 @leserbea @Celik_Chn Also wenn sie es genau wissen wollen:
https://t.co/5rLDP6RhtJ
Da ist das ganze Thema recht schön erklärt und aus meiner Sicht ist das auch methodisch sauber gemacht.
Stimmt nicht: 80 Prozent der "Covid-Toten" sind nicht an Corona ...
News
Quellen: Robert Koch-Institut, DOI: 10.7554/eLife.69336, Analyse des Instituts f. Pathologie am UKSH, Statistisches Bundesamt. Diesen Faktencheck gibt's auch ...
Supplementary Methods 1: Description of the Oxford Stringency ...
Blogs
Elife. Jun 30 2021;10. doi:10.7554/eLife.69336. Page 3. Appendix 1, as supplied by the authors. Appendix to: Razak F, Shin S, Naylor CD, et al. response to ...
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