Packet 5: Bonus 15
An influx of workers in this industry in the Otago (“uh-TAH-go”) region caused New Zealand to replicate Australian policies such as an anti-Chinese head tax. For 10 points each:
[10e] Namesake “rushes” in what industry caused population booms in Victoria and the Yukon’s Klondike region?
ANSWER: gold mining [or gold prospecting; prompt on mining or prospecting]
[10h] Canadian and New Zealand gold rushes also adopted Australian license fees, which had caused this rebellion from the Victorian gold rush. This rebellion ended after the British squashed a namesake “Stockade” in Ballarat.
ANSWER: Eureka Rebellion [accept Eureka Stockade]
[10m] In the Klondike Gold Rush, order was largely maintained by this organization. Prospectors on the Chilcoot and White Passes were required to carry a year’s supply of food by members of this red-uniformed organization.
ANSWER: Royal Canadian Mounted Police [accept Mounties or RCMP or North-West Mounted Police or NWMP]
<McGill D, Other History> | Packet E
| Editions | Heard | PPB | Easy % | Medium % | Hard % |
|---|---|---|---|---|---|
| 2 | 115 | 18.17 | 97% | 68% | 17% |
Conversion
| Team | Opponent | Part 1 | Part 2 | Part 3 | Total | Parts |
|---|---|---|---|---|---|---|
| Claremont A | UCSD A | 10 | 0 | 10 | 20 | EM |
| Claremont B | Claremont C | 10 | 10 | 0 | 20 | EH |
| UC Irvine | UCLA C | 10 | 0 | 10 | 20 | EM |
| UCLA B | UCLA E | 10 | 10 | 10 | 30 | EHM |
| UCLA D | UCLA F | 10 | 0 | 10 | 20 | EM |
| UCSD B | UC Santa Barbara | 10 | 0 | 10 | 20 | EM |
| USC A | USC B | 0 | 0 | 0 | 0 |
Summary
| Tournament | Edition | Exact Match? | Heard | PPB | Easy % | Medium % | Hard % |
|---|---|---|---|---|---|---|---|
| UK (North) | UK | Y | 5 | 12.00 | 80% | 40% | 0% |
| UK (South) | UK | Y | 8 | 15.00 | 100% | 50% | 0% |
| Northern California | US | Y | 4 | 12.50 | 100% | 25% | 0% |
| Southern California | US | Y | 7 | 18.57 | 86% | 71% | 29% |
| Eastern Canada (1) | US | Y | 4 | 20.00 | 100% | 100% | 0% |
| Eastern Canada (2) | US | Y | 8 | 20.00 | 100% | 100% | 0% |
| Florida | US | Y | 3 | 23.33 | 100% | 100% | 33% |
| Great Lakes | US | Y | 11 | 17.27 | 100% | 46% | 27% |
| Lower Mid-Atlantic | US | Y | 9 | 15.56 | 89% | 56% | 11% |
| Upper Mid-Atlantic | US | Y | 1 | 10.00 | 100% | 0% | 0% |
| Upper Mid-Atlantic | US | Y | 9 | 20.00 | 100% | 78% | 22% |
| Upper Mid-Atlantic | US | Y | 2 | 15.00 | 100% | 50% | 0% |
| Midwest | US | Y | 9 | 22.22 | 100% | 78% | 44% |
| North | US | Y | 4 | 20.00 | 100% | 50% | 50% |
| Northeast | US | Y | 1 | 10.00 | 100% | 0% | 0% |
| Pacific | US | Y | 8 | 21.25 | 100% | 88% | 25% |
| South Central | US | Y | 6 | 20.00 | 100% | 100% | 0% |
| Southeast | US | Y | 11 | 20.00 | 91% | 82% | 27% |
| Upstate NY | US | Y | 5 | 14.00 | 100% | 40% | 0% |