1608 in Quebec
Years in Quebec: | 1605 1606 1607 1608 1609 1610 1611 |
Centuries: | 16th century · 17th century · 18th century |
Decades: | 1570s 1580s 1590s 1600s 1610s 1620s 1630s |
Years: | 1605 1606 1607 1608 1609 1610 1611 |
Events from the year 1608 in Quebec.
Events
- The first group of French settlers arrive in what is today Tadoussac, marking the beginning of a continuous Francophone presence in North America.
- Quebec City is founded. The first city in New France begins as a fortified point. Constructions are begun on July 3 under Samuel de Champlain.
Births
John Milton was born in London on December 9, 1608 to John and Sara Milton.
Deaths
gollark: I am saying that gods are also complicated so this doesn't answer anything.
gollark: For purposes only, you understand.
gollark: There are lots of *imaginable* and *claimed* gods, so I'm saying "gods".
gollark: So basically, the "god must exist because the universe is complex" thing ignores the fact that it... isn't really... and that gods would be pretty complex too, and does not answer any questions usefully because it just pushes off the question of why things exist to why *god* exists.
gollark: To randomly interject very late, I don't agree with your reasoning here. As far as physicists can tell, while pretty complex and hard for humans to understand, relative to some other things the universe runs on simple rules - you can probably describe the way it works in maybe a book's worth of material assuming quite a lot of mathematical background. Which is less than you might need for, say, a particularly complex modern computer system. You know what else is quite complex? Gods. They are generally portrayed as acting fairly similarly to humans (humans like modelling other things as basically-humans and writing human-centric stories), and even apart from that are clearly meant to be intelligent agents of some kind. Both of those are complicated - the human genome is something like 6GB, a good deal of which probably codes for brain things. As for other intelligent things, despite having tons of data once trained, modern machine learning things are admittedly not very complex to *describe*, but nobody knows what an architecture for general intelligence would look like.
References
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