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RT @realrainypixels: @apmalong @kasza_leslie @1goodtern @TRyanGregory “Minimizers adjust their minimization approach to match the scale of…
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@LaSeletzky @zhang_yueting Related:
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@apmalong @kasza_leslie @1goodtern @TRyanGregory “Minimizers adjust their minimization approach to match the scale of the chart”. 🤡 https://t.co/KYAv4WVuSO https://t.co/OR4El5uwhm
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Logarithmic versus Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support for Confinement... which surprises me https://t.co/sogH0LrKo4 https://t.co/SSMGcD3lWm
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@cmcguinness26 @Starcourse @AlexWhite1812 @toates_19 Number of infections rises exponentially. Using a log scale allows to check how much current rate deviates from pure exponential growth. But that assumes the reader knows what exponential growth means...
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@ScienceNFreedom @PmaluchnikTrish @KUSINews @justin_hart Are you trying to compare linear and logarithmic scales? Kind of related to "lognormal curves" but not really the same thing. Good job being just smart enough to expose your underlying stupidity.
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@FreisinnigeZtg @CasMudde @DougSaunders FWIW, a recent study by @semrasevi et al. showed that how this data was presented didn’t make much difference to citizens support for confinement: https://t.co/ZxwqyN6QaC
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@ProgramaAEDuns Jaja, se ve que no somos tan originales. Las conclusiones son lo más ambiguo que vi en mi vida igual. https://t.co/pa6DXoPZma
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@Spiousas Acá un paper experimental que concluye resultados invariantes. El problema obvio es que los sujetos no son virginales (diría Vernon Smith): además de los gráficos tienen toda la info de todas las fuentes, lo que es el ppal factor de invarianza. h
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Logarithmic versus Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support for Confinement https://t.co/5KOfn8orR1
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RT @VincentAB: @CharlieBeckett @BrendanNyhan We just published a very similar study using a sample of 2500 Canadian respondents, but found…
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@rafawainer @Bcientifica @ernestorr @fedkukso @rquiroga777 @norabar Ah, pero ojo! miren lo que encuentro acá: https://t.co/GL8dGAX6dK
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@CharlieBeckett But now I discover this paper which seems to suggest that logarithmic scale doesn't matter. I'll try to make time to look more closely. https://t.co/2Af5xiHd30
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اینا جدی نمودارهای مربوط به کرونا رو به چند گروه نشون دادن ببینن موضعشون بر اساس نوع نمودار فرق می‌کنه یا نه، بعد تفاوتی ندیدن و از روش نتیجه‌گیری کردن. یعنی کل پوشش خبری رسانه‌ها و اشباع رسانه‌های اجتماعی از عدد و نمودار رو نادیده گرفته‌ن. چطوری؟!
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مقاله با ۹ تا نویسنده منتشر شده تو ژورنال علوم سیاسی کانادا درباره این که نمایش مبتلایان کرونا با نمودار عادی یا لگاریتمی تأثیری رو حمایت افراد از قرنطینه نداره. نه تنها متدش🤦🏾♂️، که چطوری اینقدر سریع چاپ کردید آخه🤦🏾♂️ https://t.co/CaqSJl8VdC
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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RT @kennethbunker: here is an interesting finding: Logarithmic vs. Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support…
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RT @kennethbunker: here is an interesting finding: Logarithmic vs. Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support…
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RT @kennethbunker: here is an interesting finding: Logarithmic vs. Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support…
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here is an interesting finding: Logarithmic vs. Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support for Confinement https://t.co/L1690mlVet
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Gran part de la conversa ve inspirada per aquesta publicació https://t.co/DjxmtCUhgz
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... that's some important insights from political science Logarithmic vs. Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support for Confinement https://t.co/RMrEDr5syw
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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Wow, that was quick, @ablais_udem et al.! "Logarithmicvs.LinearVisualizations of COVID-19 Cases Do Not Affect Citizens’Support for Confinement" now out in @CJPS_RCSP. 1/2 https://t.co/5cS4lfz1il
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@davidbauer @MarcBrup @TA_Interaktiv Diese brandaktuelle Studie zur Frage, welche Effekte von #covid19-Fallzahlvisualisierungen ausgehen (linear vs. logarithmiert), könnte Sie allenfalls interessieren: https://t.co/Phan1dYoK9 #coronavirus cc @nzzvisuals @s
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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Logarithmic vs. Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support for Confinement https://t.co/IOQafiLoJB
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Another study finds strong, trans-partisan support for the lockdown. https://t.co/C2KbAOGeRv
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Bu kadar kişiyle makale mi yazılır ya; akademik teşvik alamazsın ki!!
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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A neat survey experiment demonstrating logarithmic or linear visualizations of COVID19 don't affect respondent pessimism or support for confinement https://t.co/sV31CkFcJE
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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@tuebang
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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Superbe projet collaboratif initié par des étudiant.e.s : voilà un bel exemple de la magie de la #ChaireElectorale d’@ablais_udem @SciencePo_UdeM 👉
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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Det gick snabbt. Här är forskning på området. https://t.co/arOJiCXTyw
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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RT @semrasevi: What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper,…
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What are the effects of log vs. linear visualizations of #COVID19 cases on citizens’ support for confinement? In this paper, we conducted a survey experiment with 2,500 Canadians. 1/2 Forthcoming @CJPS_RCSP : https://t.co/0NZhtJoIhm #AcademicTwitter #A
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Very important findings - not only about misinformation or framing in data visualization, but also because of strong support by Canadians for confinement under both conditions! There'd be partisan divide in the US... @buzzindelhi @claesdevreese #cpol120 #
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[Publication] Plusieurs chercheurs FoDem ont contribué à l’article "Logarithmic vs. Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support for Confinement” dans la @CJPS_RCSP Détails ci-dessous #Covid19Canada #polcan #cdnpoli #covid19
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One our of Advisory board members, @ablais_udem, along with @PeejLoewen, #CES2019 team, et al. explore public opinion toward #COVID19👇👇👇
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Very innovative study on how the type of data scale used to present Covid19 data (doesn't) affect citizen support for quarantine in Canada. This would be interesting to replicate in developing nations, where numeracy might be different.
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Fresh paper by @VincentAB, @ablais_udem and others on how #COVID19 data is presented, and whether it has an impact on political support for isolation measures. Yes, it impact public's interpretation of the data, but no, it does not affect massive support
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@jmorenocruz @KhoaVuUmn it may be not diminishing after all https://t.co/GwS9hbsUXm
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Nefis...
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RT @CUP_PoliSci: New from @CJPS_RCSP - Logarithmic vs. Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support for Confin…
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RT @CUP_PoliSci: New from @CJPS_RCSP - Logarithmic vs. Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support for Confin…
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RT @CUP_PoliSci: New from @CJPS_RCSP - Logarithmic vs. Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support for Confin…
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New from @CJPS_RCSP - Logarithmic vs. Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support for Confinement - https://t.co/xR4rlUGzlf This is an Accepted Manuscript for CJPS-RCSP as part of the Cambridge #Coronavirus Collection. #COVI