Tweets Analysis - Keyword: @COdendahl

Overview

Total number of tweets analysed

172

Earliest tweet was on

2023-02-09

Latest tweet was on

2023-02-18

Tweets covering

8 days

Average age of authors' accounts

7 years


Summarization

This discussion looks at the issue of Germany having saved a lot, resulting in it now having lots of fiscal space. It also looks into the usage of Ermächtigungen zur Verschuldung to combat a current Notlage and the idea that foresight may have resulted in Germany spending more a decade ago. Children are discussed in terms of them being heavily affected by the Maßnahmen and the idea of heteronormative Kleinfamilien is talked about separately in comparison. Finally, an economic comparison is made with the UK having only slightly better Einkommensstatistik than Germany.

Topic Modeling

  1. Germany and its fiscal space
  2. Political dimensions of policies
  3. Children and their effects of policies
  4. Heteronormative families and their definition
  5. UK and German transportation maps

Emotional Analysis

The tweets in this thread express a range of emotions, from frustration to agreement, from confusion to understanding, and from indignation to optimism. There is a sense of disagreement among the participants, as well as an attempt to reach a consensus. Some of the tweets also express a sense of irony and humor, as well as a sense of surprise at the outcomes of certain events. Overall, the conversation appears to be an open and honest exchange of ideas and opinions.

Trend Analysis

  1. Debate about economic policy between different political parties
  2. Germany's financial stability and use of the Notlagenklausel from the Schuldenbremse
  3. Comparison between United Kingdom and Germany's spending patterns
  4. The effects of monetary policy decisions on children
  5. A discussion of heteronormative family structures

Disclaimer: The text analysis on twtdata.com, powered by OpenAI, does not represent the views of twtdata.com or its affiliates. The analysis is for informational purposes only and not an endorsement of any viewpoint.

Types of Tweets

Number of Retweets

25

Percentage of total tweets

14%

Number of Original tweets

1

Percentage of total tweets

0%

Number of tweets that contain Mentions

172

Percentage of total tweets

100%

Number of tweets that were Replies

146

Percentage of total tweets

84%

Number of tweets that were Quotes

1

Percentage of total tweets

0%

Number of tweets that contain Hashtags

13

Percentage of total tweets

7%


Top 5 devices used to tweet

Source Count
Twitter Web App 96
Twitter for iPhone 41
Twitter for Android 27
TweetDeck Web App 4
Twitter for iPad 2

What devices were used to tweet


Top 10 accounts with highest followers count

Username Name Bio Followers count
RobinBrooksIIF Robin Brooks Chief Economist @IIF, former Chief FX Strategist @GoldmanSachs & Senior Economist @IMFnews. Opinions are my own. Email: rbrooks@iif.com. 228,976
M_C_Klein Matthew C. Klein Founder of THE OVERSHOOT and UN/BALANCED | co-author of TRADE WARS ARE CLASS WARS | For speaking: https://t.co/bD8a12V37O 51,962
spignal Stanley Pignal Charlemagne columnist & Brussels bureau chief, The Economist.Past stints in Paris, Mumbai, London. Français. Personal feed. Bio 👇.Charlemagne@economist.com 43,244
thinkBTO Dr. Daniel Stelter Die unabhängige Stimme. 35,587
tabouchadi Tarik Abou-Chadi Associate Professor in European Politics at Nuffield College, University of Oxford. Elections, parties, social democracy & the radical right. he/him. 🏳️‍🌈 20,320
J_Jaraczewski Jakub Jaraczewski (@j_jaraczewski@mastodon.online) Research Coordinator at @DemocracyR working on @reconstitutEU. Rule of law in EU. Full-time nerd, part-time military tech buff. Usual disclaimers. He/him. 11,385
brynstole Bryn Stole freelance reporter, part-time editor, full-time dilettante. past life: deep-south newspaper man. “it’s a wicked world in all meridians.” 📫: brynstole@gmail.com 11,311
RajaKorman Karthik Sankaran Formerly many things. 1st to rhyme Duce & Juche; describe US as Transfer Union. Says Poujadist often. Aging Macro Expat. Equal parts phlegm, spleen, dad humor. 10,369
c_baccianti Claudio Baccianti Economist. Senior Associate @AgoraEW. Personal views. Tweeting about (macro)economics, green transition, finance, Italy. 10,038
OdendahlC Christian Odendahl European economics editor @TheEconomist. Kölner in London. Hier ausschließlich privat. Mein Hauptaccount auf Englisch ➡️ @COdendahl. 9,581

Top 10 accounts with highest friends count

Username Name Bio Followers count
PaoliMichele Michounette #FBPE #toryfascistsOUT#generalelection Disgusted and horrified! #FBPE #RejoinEU Retweets usually but not always endorsements. 7,846
HelloEuromat EUROMAT@mstdn.social #EUROMAT Inf-O-Mat 🇪🇺 Newswire. Made with love by @PulseofEurope & @polis180 - wie der Wahl-O-Mat zur #btw21 https://t.co/6lZcKYwRDH 5,001
NatioScourge 🌟 Fr Failing Elites 🌊 Star and Stripes ⛽️ Right Dreamers. Synthetize. 4,999
BenjaminFlesch Benjamin Flesch 💻 Interested in security & forensics. PhD from @CBScph, CISSP, and 1 failed startup 4,989
Jay42_SD Jay42 Social Democrat, probably procrastinating. 4,736
RajaKorman Karthik Sankaran Formerly many things. 1st to rhyme Duce & Juche; describe US as Transfer Union. Says Poujadist often. Aging Macro Expat. Equal parts phlegm, spleen, dad humor. 3,871
anttironkainen Antti Ronkainen Poliittisen talouden tutkija, Helsingin yliopisto. Puh 050-4488579. Virtuaalinen CV: https://t.co/vChNIO7QGh 3,487
stepien_przemek Sham Stepien Kultura, Afryka, energia, ekonomia. #Zieloni4Life he/him 3,410
Misanfrog Misanfrog🖤🤡🌎 Malignis obsequio in facie stultitiam. A leading expert on the necrophilic western consciousness. Laughter in the dark. Pronoun: Popular Amoralist. 3,164
LusManuelCalvo1 Luís Manuel Calvo Salgado seit März 2017 Parlamentsmitglied Grüne Partei BülachCAS Wirtschaft und Politik für PolitikerInnen in der Schweiz Universität St. Gallen 3,099

Most active users

Username Bio Number of tweets
TobyArnott2B What a great planet we've inherited. Let's look after it. (BTW, I was a Maths/Stats academic, but moved into international programme/project management.) 19
ruben_menke - 12
stepien_przemek Kultura, Afryka, energia, ekonomia. #Zieloni4Life he/him 7
chandler_kroll Project Manager at MCI Deutschland. Mitglied des Gemeindekirchenrates der Zwölf Apostel Gemeinde 🏳️‍🌈🇪🇺 5
tabouchadi Associate Professor in European Politics at Nuffield College, University of Oxford. Elections, parties, social democracy & the radical right. he/him. 🏳️‍🌈 5
LKwesiJ Othering. Professionally. Schnapps ist Dienst. أبو إشعيا 4
BettiKohlrausch Director at @wsiinstitut | Professor for social transformation @unipb | feminist | research on work and social integration| Industrial Citizenship 4
MauSteffen Sociologist l inequality, social change, quantification, borders, Europe, social policy, transformation l @humboldtUni @svr_migration @scriptsberlin @sfb1265 4
Kristia27930121 AgSci PhD curious about the world. 4
RobinBrooksIIF Chief Economist @IIF, former Chief FX Strategist @GoldmanSachs & Senior Economist @IMFnews. Opinions are my own. Email: rbrooks@iif.com. 3

Tweets per day


Top 10 tweets with highest Retweet count

ID Text Retweet count
1623943617298538496 @jsuedekum Zum einen ist es kein Geld, sondern es sind Ermächtigungen zur Verschuldung. Zum anderen unterliegen sie der Notlagenklausel der Schuldenbremse, die zur Bekämpfung einer aktuellen Notlage dient. Der investive Charakter von Ausgaben hat hier keine Bedeutung. @c_lindner @COdendahl 5
1624059188908380160 @COdendahl Indeed: https://t.co/p2ufzdOL6p 4
1624057463820500992 @COdendahl It's a brilliant cover. Here's the issue: if we had perfect foresight, Germany should have spent more a decade ago. But we don't, so Germany did the next best thing and saved a lot. As a result, it now has lots of fiscal space. I would say that is still a good place to be... 2
1624061354612035587 @RobinBrooksIIF @COdendahl Some things should have been predictable enough to overcome a horror of spending anything that looks like helicopter money. https://t.co/jyIwq1DPwi https://t.co/HlBy81xiCC 1
1625556236019154944 @LKwesiJ @COdendahl Hier übrigens zum Vergleich die Einkommensstatistik (von 2017). Also Zentrum hat niedrige Einkommen und wählt grün. Je höher die Einkommen umso CDU. https://t.co/nTGYOxwtOq 1
1626989851458273280 @COdendahl Ich will mich trotzdem höflich bedanken. Das haben wir gebraucht. 0
1624149290711932947 @TobyArnott2B @COdendahl @MLiebreich As any quantity with variance, yes obviously. 0
1624182675283099649 @TobyArnott2B @COdendahl @MLiebreich ?? That is the minimum demand. Historically used to set baseload levels. The point is that with PV and wind in the grid, the left over power demand can be below 0. So as stated previously, the concept is anachronistic and in a grid with high RE not helpful. 0
1624171030959857664 @ruben_menke @COdendahl @MLiebreich I was responding to: "With installed wind capacity slightly in excess of minimum demand there will be nights when there no is demand for a fossil plant at all. With a bit more PV this can even happen to the lunch peak." That's about supply options, not the existence of baseload. 0
1624167725139386373 @ruben_menke @COdendahl @MLiebreich So demand exists. And as it varies, it has a minimum. That is baseload, and it's not dead. Glad we cleared that up. 0

Top 10 tweets with highest Like count

ID Text Like count
1624059188908380160 @COdendahl Indeed: https://t.co/p2ufzdOL6p 30
1623943617298538496 @jsuedekum Zum einen ist es kein Geld, sondern es sind Ermächtigungen zur Verschuldung. Zum anderen unterliegen sie der Notlagenklausel der Schuldenbremse, die zur Bekämpfung einer aktuellen Notlage dient. Der investive Charakter von Ausgaben hat hier keine Bedeutung. @c_lindner @COdendahl 24
1625022975392071683 Maybe of interest to @COdendahl @hanskundnani @pbergsen @silvia_sb_ @gaia_pianigiani @jasondhorowitz @FAZ_Wirtschaft @SZ_Wirtschaft @maja_branko @adam_tooze @SMerler @BrankoMilan @BungaCast @EURACTIV @Westervangaal @ChristianWermke @handelsblatt @wiwo @chris_breu @LSEEuroppblog 23
1624057463820500992 @COdendahl It's a brilliant cover. Here's the issue: if we had perfect foresight, Germany should have spent more a decade ago. But we don't, so Germany did the next best thing and saved a lot. As a result, it now has lots of fiscal space. I would say that is still a good place to be... 10
1624408255903440898 @tabouchadi @COdendahl @VeraSchroeder Weil hier die Kinder (nicht das Modell) im Zentrum stehen. Und sie überzogen stark von den Maßnahmen betroffen waren, was man jetzt auch an vielen Folgeschäden sieht. Über andere Gruppen ist damit noch gar nichts gesagt. Aber vielleicht sollten wir es damit bewenden lassen. 7
1624404509093920772 @tabouchadi @COdendahl @VeraSchroeder Dann begehst du wohl einen Kategorienfehler. Du sprichst zum Einstieg über Kinder, möchtest aber eigentlich etwas über heteronormative Familien sagen. Vielleicht sollte man das besser auseinanderhalten. 4
1624410109559336960 @tabouchadi @MauSteffen @COdendahl @VeraSchroeder Mach das! Zum Abschluss würde ich gerne noch etwas persönliches und vielleicht auch versöhnliches sagen. Das hat alles eine politische Dimension, aber eben auch eine persönliche. 4
1623977718525095936 @Sarkies_Proxy @COdendahl @Moonbootica The UK is only slightly better at around 67% 3
1624433090897539078 @BettiKohlrausch @tabouchadi @MauSteffen @COdendahl @VeraSchroeder Ja was ist Deine Definition von "heteronormativen Kleinfamilien"? Zählen Kinder mit einem alleinerziehenden Elternteil oder Kinder wo beide Elternteile versuchen, Beruf u Familie zu vereinbaren dazu? 3
1624889164788338689 @COdendahl Μαντεψε που ζουν οι συνταξιουχοι στα απλωμενα προαστεια με τις μονοκατοικιες @Reformist_ και που ζουν φοιτητες και νεοι επαγγελματιες. 3

Top 3 Languages Used In Tweets


Top 10 Hashtags used

Hashtag Count
#berlin 2
#spd 2
#cdu 2
#train 2
#baseload 2
#fcunion 1
#bmgfcb 1
#ukraine 1
#eu 1
#merkel 1

Top 10 Hashtags Used In Tweets

Top 10 mentions

Mention Count
@codendahl 172
@mliebreich 42
@tobyarnott2b 18
@veraschroeder 14
@robinbrooksiif 12
@spignal 10
@ruben_menke 10
@lkwesij 9
@tabouchadi 9
@mausteffen 9

Top 10 mentions

Wordcloud of Tweets


Emojis

Average number of emojis used per tweet

2

Emojis used in tweets

Emoji Count Emoji Text
🙈 1 see-no-evil_monkey
😉 1 winking_face
🧐 1 face_with_monocle
😂 1 face_with_tears_of_joy
🤦‍♂️ 1 man_facepalming

Emojis groups

Emoji Group Count
Smileys & Emotion 4
People & Body 1