Videos related to the U.S.-China Cold War

The United States used economic sanctions to pressure, intimidate, or undermine other countries. These sanctions can destroy economies and, as a result, kill many innocent people. Meanwhile U.S. Presidents talk about peace. For articles on geopolitics, investigative journalism, data analytics and more, see: - substack: https://newcoldwar.substack.com/ - medium: https://medium.com/@w.f.hoenderdaal Sources: Data on sanctions come from The Global Sanctions Data Base (GSDB): https://globalsanctionsdatabase.com/ Audio: - West point 2014 speech Obama - West point speech 2008 Obama - Kennedy speech: https://www.jfklibrary.org/archives/other-resources/john-f-kennedy-speeches/american-university-19630610 Song: Sinister - Anno Domini Beats.mp3 from Youtube studio library Video: Interview with Madeleine Albright on 60 Minutes: Punishing Saddam, May 12, 1996, CBS News Animation made with Processing: https://processing.org/

The U.S.-Japan Military Alliance is old. Yet despite it findings its roots in containing the Soviet Union, since the collapse of the Soviet empire, the Alliance has been strengthened. The goal now is to contain China, but this comes at great cost to Japan itself. For more on the U.S.-China Cold War, see: - substack: https://newcoldwar.substack.com/ - medium: https://medium.com/@w.f.hoenderdaal Credits: World Imaging, CC BY-SA 3.0 https://creativecommons.org/licenses/..., via Wikimedia Commons US Air Force from USA, Public domain, via Wikimedia Commons PH2 Gabriel Wilson, Public domain, via Wikimedia Commons The U.S. Army, Public domain, via Wikimedia Commons The U.S. ArmyStaff Sgt. Jacob Kohrs/U.S. Army Japan, Public domain, via Wikimedia Commons SDASM Archives, No restrictions, via Wikimedia Commons 海上自衛隊, CC BY 4.0 https://creativecommons.org/licenses/..., via Wikimedia Commons Department of Defense, Public domain, via Wikimedia Commons U.S. Navy, Public domain, via Wikimedia Commons See page for author, Public domain, via Wikimedia Commons, https://commons.wikimedia.org/wiki/Fi... 海上自衛隊, CC BY 4.0 https://creativecommons.org/licenses/..., via Wikimedia Commons US Navy, Public domain, via Wikimedia Commons Lance Cpl. Samantha Villarreal, Public domain, via Wikimedia Commons Los688, CC0, via Wikimedia Commons U.S. Navy Photo by CTR3 Ryan C. Finkle, Public domain, via Wikimedia Commons US Army, Public domain, via Wikimedia Commons USN, Public domain, via Wikimedia Commons

Japan's military and its foreign policy is very dependent on the United States. This dependency is deliberate, has a long history, and is deepening now that Washington wants to contain China and sees in Japan a useful tool. For more on the U.S.-China Cold War, see: - substack: https://newcoldwar.substack.com/ - medium: https://medium.com/@w.f.hoenderdaal Credits: World Imaging, CC BY-SA 3.0 https://creativecommons.org/licenses/by-sa/3.0, via Wikimedia Commons US Air Force from USA, Public domain, via Wikimedia Commons PH2 Gabriel Wilson, Public domain, via Wikimedia Commons The U.S. Army, Public domain, via Wikimedia Commons The U.S. ArmyStaff Sgt. Jacob Kohrs/U.S. Army Japan, Public domain, via Wikimedia Commons SDASM Archives, No restrictions, via Wikimedia Commons

Japan's decision to double its military spending and acquire counterstrike capabilities has a long history, which is explained in this video. The link to the United States and its containment policy is also made. For more on the U.S.-China Cold War, see: - substack: https://newcoldwar.substack.com/ - medium: https://medium.com/@w.f.hoenderdaal Credits: 海上自衛隊, CC BY 4.0 https://creativecommons.org/licenses/by/4.0, via Wikimedia Commons Department of Defense, Public domain, via Wikimedia Commons U.S. Navy, Public domain, via Wikimedia Commons See page for author, Public domain, via Wikimedia Commons, https://commons.wikimedia.org/wiki/File:NPR_personnel2.JPG 海上自衛隊, CC BY 4.0 https://creativecommons.org/licenses/by/4.0, via Wikimedia Commons US Navy, Public domain, via Wikimedia Commons Lance Cpl. Samantha Villarreal, Public domain, via Wikimedia Commons Los688, CC0, via Wikimedia Commons U.S. Navy Photo by CTR3 Ryan C. Finkle, Public domain, via Wikimedia Commons US Army, Public domain, via Wikimedia Commons USN, Public domain, via Wikimedia Commons

A recent study from the CSIS describes what a Chinese invasion of Taiwan may look like, and whether the U.S. military is capable of preventing a Chinese victory. For the study itself, see: Cancian, M.F., Cancian, M., Heginbotham, E. The First Battle of the Next War - Wargaming a Chinese Invasion of Taiwan. CSIS. January 2023

Hey all, I am working on visualizing all U.S. bombing raids during the Vietnam War, at least for those that we have data, which is around 1.7 million missions. Curious to hear your feedback. how can we make this visualization better?

Explanation of the data: Economic and military aid data comes from the Ukraine Support Tracker developed by the Kiel Institute for the World Economy*. The data was accessed 11 January 2023. The data used for this video is for the period of February to November 2022. Some caution has to be taken in interpreting this video: Humanitarian aid is not included. The video shows only military and economic/financial aid. The monthly sums are used to create the animation effects. Only European countries and the United States are included in this video. The values (the moving dots in the animation) resemble the announced sums that countries have pledged to Ukraine. They may differ from what is or will be actually delivered. This is what the Kiel Institute is doing: monitoring promises of aid. Also the time of the announcement may be different from the period when the money or equipment is actually sent. Therefore, take this animation as a way to get some gross insight into the proportions that different countries promise to send. As far as timing is concerned, remember these are announcements and not delivery timeframes. Finally, in this animation, aid from EU institutions have been spread out equally over all EU member states, to illustrate that this is money from European Union countries that goes to Ukraine. Go to the website of the Ukraine Support Tracker to learn more about the data. See this link for the dataset: https://www.ifw-kiel.de/publications/data-sets/ukraine-support-tracker-data-17410/ Sanctions data comes from the Peterson Institute for International Economics. Only sanctions from European countries and the United States have been included. Sanctions of a purely individual nature have been excluded from this animation. See this link for the dataset: https://www.piie.com/blogs/realtime-economics/russias-war-ukraine-sanctions-timeline *Source: Antezza et al. (2022) "The Ukraine Support Tracker” Kiel WP Software: Processing (to make the animation. It uses the Java language): https://processing.org/ Unfolding Maps (http://unfoldingmaps.org/). Map tiles by Stamen Design, under CC BY 3.0. Data by OpenStreetMap, under ODbL. Python to process the data Powerdirector to make the video Song: Warzone - Anno Domini Beats from Youtube Studio Video is inspired by Will Geary's https://vimeo.com/286751571

In this video the top recipients of weapons from the Netherlands are displayed. To get smooth transitions, rolling averages (window of 5 years) have been calculated. Duplicated countries (in case of multiple factions in a civil war) are summed together. Data: - SIPRI arms transfer database Software used: - Python: package bar-chart-race - PowerDirector Song: Anomalous Hedges - Mini Vandals.mp3 from Youtube studio library For articles, investigative journalism, data analytics and more, see: - substack: https://newcoldwar.substack.com/ - medium: https://medium.com/@w.f.hoenderdaal

In this video the top recipients of weapons from the Soviet Union and Russia are displayed. To get smooth transitions, rolling averages (window of 5 years) have been calculated. Duplicated countries (in case of multiple factions in a civil war) are summed together. Data: - SIPRI arms transfer database Software used: - Python: package bar-chart-race - PowerDirector Song: Sinister - Anno Domini Beats.mp3 from Youtube studio library For articles, investigative journalism, data analytics and more, see: - substack: https://newcoldwar.substack.com/ - medium: https://medium.com/@w.f.hoenderdaal

In this video the top recipients of weapons from Germany are displayed. To get smooth transitions, rolling averages (window of 5 years) have been calculated. Duplicated countries (in case of multiple factions in a civil war) are summed together. Data: - SIPRI arms transfer database Software used: - Python: package bar-chart-race - PowerDirector Song: All I Am - Dyalla.mp3 from Youtube studio library For articles, investigative journalism, data analytics and more, see: - substack: https://newcoldwar.substack.com/ - medium: https://medium.com/@w.f.hoenderdaal

In this video the top recipients of weapons from France are displayed. To get smooth transitions, rolling averages (window of 5 years) have been calculated. Duplicated countries (in case of multiple factions in a civil war) are summed together. Data: - SIPRI arms transfer database Software used: - Python: package bar-chart-race - PowerDirector Song: Violet Vape - Cheel.mp3 from Youtube studio library For articles, investigative journalism, data analytics and more, see: - substack: https://newcoldwar.substack.com/ - medium: https://medium.com/@w.f.hoenderdaal

In this video the top recipients of weapons from the United Kingdom / Britain are displayed. To get smooth transitions, rolling averages (window of 5 years) have been calculated. Duplicated countries (in case of multiple factions in a civil war) are summed together. Data: - SIPRI arms transfer database Software used: - Python: package bar-chart-race - PowerDirector Song: Illusions - Anno Domini Beats.mp3 from Youtube studio library For articles, investigative journalism, data analytics and more, see: - substack: https://newcoldwar.substack.com/ - medium: https://medium.com/@w.f.hoenderdaal

In this video the top recipients of weapons from China are displayed. To get smooth transitions, rolling averages (window of 5 years) have been calculated. Duplicated countries (in case of multiple factions in a civil war) are summed together. Data: - SIPRI arms transfer database Software used: - Python: package bar-chart-race - PowerDirector Song: Imperial Forces - Aaron Kenny.mp3 from Youtube studio library For articles, investigative journalism, data analytics and more, see: - substack: https://newcoldwar.substack.com/ - medium: https://medium.com/@w.f.hoenderdaal

In this video the top recipients of weapons from the United States are displayed. To get smooth transitions, rolling averages (window of 5 years) have been calculated. Duplicated countries (in case of multiple factions in a civil war) are summed together. Data: - SIPRI arms transfer database Software used: - Python: package bar-chart-race - PowerDirector Song: The Itch (Instrumental) - NEFFEX.mp3 from Youtube studio library For articles, investigative journalism, data analytics and more, see: - substack: https://newcoldwar.substack.com/ - medium: https://medium.com/@w.f.hoenderdaal

Western leaders tell us we are in a battle between Western democracy and Chinese/Russian authoritarianism. Yet, according to the biggest democracy study, most of the world sees the United States as the biggest threat to their country's democracy/political system. Link to the democracy study: https://www.allianceofdemocracies.org/initiatives/the-copenhagen-democracy-summit/dpi-2021/ Link to the Iran study: https://cissm.umd.edu/sites/default/files/2021-10/Final-Iranian%20Public%20Opinion%20Sept%202021.pdf Image used in introduction: Priyam Patel via Pixabay https://pixabay.com/nl/vectors/amerika-china-oorlog-vs-discussie-5129061/ Map made with Statplanet https://www.statsilk.com/software/statplanet Join on substack: https://newcoldwar.substack.com/