Answer:
A Black Loyalist was a person of African descent who sided with the Loyalists during the American Revolutionary War. In particular, the term refers to men who escaped the enslavement of Patriot masters and served on the Loyalist side because of the Crown's promises of freedom.
Some 3,000 Black Loyalists were evacuated from New York to Nova Scotia; they were individually listed in the Book of Negroes as the British gave them certificates of freedom and arranged for transport. The Crown gave them land grants and supplies to help them resettle in Nova Scotia. Some of the European Loyalists who emigrated to Nova Scotia brought their slaves with them, making for an uneasy society. One historian has argued that those slaves should not be regarded as Loyalists, as they had no choice in their fates. Other Black Loyalists were evacuated to London or the Caribbean colonies.
Thousands of African slaves escaped from plantations and fled to British lines, especially after British occupation of Charleston, South Carolina. When the British evacuated, they took many former slaves with them. Many ended up among London's Black Poor, with 4,000 resettled by the Sierra Leone Company to Freetown in Africa in 1787. Five years later, another 1,192 Black Loyalists from Nova Scotia chose to emigrate to Sierra Leone, becoming known as the Nova Scotian settlers in the new British colony of Sierra Leone. Both waves of settlers became part of the Sierra Leone Creole people and the founders of the nation of Sierra Leone. Thomas Jefferson referred to the Black Loyalists as "the fugitives from these States". While most Black Loyalists gained freedom, some did not. Those who were recaptured by slave traders were sold back into slavery and treated harshly for having served under the British.
I think (a) because the ocean floor is the crust which is mainly were shallow earthquakes occur. I'm not sure if this is right or not sorry :)
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<u>Answer: Shiite Muslims</u>
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Answer:C
Explanation:
it depends on computer weather models and software that analyze observed weather data and make forecasts. When that data is incomplete, the models must interpolate (or estimate) the missing data between the available data points. As the distance between available observational data points grows, the computer model’s ability to interpolate weakens. The chance of an error occurring during interpolation can go up, depending on the time frame getting analyzed. For example, if the forecast period is longer, the model may have to interpolate more data. This can increase the chance of errors in its predictions.
