1. Holocaust
2. Final Solution
3. Nuremberg Race Laws
4. Josef Stalin
5. Rationing
6. Scrap metal
7. Japanese
8. Before the Holocaust, Germany passed the Nuremberg Race Laws, which stripped Jews of their citizenship. Once deprived of their status as citizens, the Nazis proceeded to relocate Jews into ghettos and target their businesses for destruction, before removing them to concentration camps to perform forced labor. Eventually, the labor camps became extermination camps.
9. The sheer scale of civilian casualties was different from any previous war. Civilians were targeted, and their deaths outnumbered military deaths. Technology like the atomic bomb or airplanes increased the threat to civilians. Similar to WWI, women stepped into occupations and roles that had previously been performed by men. Also, like WWI, WWII was a total war. The mass extermination of Jews, political and religious dissenters, Roma, and other peoples was unprecedented.
10. Based on the scale of civilian deaths, particularly the brutality of the Nazis and Japanese, students might rationalize the dropping of the bombs, agreeing that the conflict needed to be stopped at all costs. On the other hand, students may also perceive the dropping of the atomic bombs as just as ethically problematic since it, too, was a mass killing of civilians. Students may point to the Japanese internment camps as further evidence that the Allies, specifically the United States, acted out of prejudice.
straight from Pf my guy :)
The answer is the federal law
No, the U.S. Constitution was not a direct result of the Slave Trade Compromise, since in fact it was more a direct result of the failure of the Articles of Confederation to be effective.
Rivalry
Colonial and imperialistic ambitions was a major contributor of rivalry and hostility that beheld western Europe in the decades before ww1. Each of the nations was seeking to out do each in strategic colonies such as Egypt, east africa,India and some provinces in Europe such as Alasce and Lorraine.
Yes, data is reliable for predicting the future because if you think about weather forecasts they use a huge chart of data to help foresee what the weather will be for the day after, the week after, and etc. This is only one of the examples for data being reliable. Especially if it's fastdata, actionable data, and so on.
