jimharri
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Paris 2024 Olympics Thread - 11th August (pg 430)
- Thread starter MCFC1993
- Start date
I think that's fair. We've had a good Olympics. We've had a huge number of silver's that were so close to gold and that's prevented it being an exceptional showing. We could have been sat in third in the medal table. Peaty, Richards, Proud, Potter (x2), rowers that got pipped by Dutch, rowers that got pipped by Croatia, Kerr, Hudson-Smith, Clarke.... quite a few opportunities missed there. Then Caudery in the pole vault but I've slagged her off enough already!
The shooter that didn't have one of her hits counted as well.
We've probably left 5 or 6 golds off the board. Probably going to end up with 60 medals which I would have took before the games.
supercity88
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Well that's one that's gone our way!!! Get in there. An amazing sport and a great win!
JRockBlues
Well-Known Member
Great reaction from him too. Didn't realise he'd even won it for a while there.GB gold in climbing
jimharri
Moderator
Amazing how those guys (and the ladies, of course) get up that "course" (obstacle? Face?) in the climbing. It's all I can do to climb in and out of the car these days.
supercity88
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Amazing how those guys (and the ladies, of course) get up that "course" (obstacle? Face?) in the climbing. It's all I can do to climb in and out of the car these days.
It's incredible. I love the Olympics with certain sports that you just can't contemplate even doing. Most of them I watch and can do, just nowhere near as fast/long/far which makes them special. But this one I just can't fathom how they even get off the ground!
Elbow beards
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Brilliant win that. How the hell do they hold on with 2 fingers. Unbelievable strength
BringBackSwales
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still 23rd as belowWhat about medals per head without the weighting?
As I believe UK Sport doesn't specify what colour the medal should be.
1 | Grenada | 0 | 0 | 2 | 2 | 126,183 | 2 | 15.85 |
2 | Dominica | 1 | 0 | 0 | 1 | 73,040 | 1 | 13.69 |
3 | St Lucia | 1 | 1 | 0 | 2 | 180,251 | 2 | 11.10 |
4 | New Zealand | 5 | 6 | 2 | 13 | 5,228,100 | 13 | 2.49 |
5 | Brunei | 1 | 0 | 0 | 1 | 454,524 | 1 | 2.20 |
6 | Chinese Taipei | 1 | 0 | 5 | 6 | 2,766,334 | 6 | 2.17 |
7 | Jamaica | 1 | 3 | 2 | 6 | 2,825,544 | 6 | 2.12 |
8 | Australia | 18 | 14 | 13 | 45 | 26,439,111 | 45 | 1.70 |
9 | Cape Verde | 0 | 0 | 1 | 1 | 598,692 | 1 | 1.67 |
10 | Croatia | 2 | 1 | 3 | 6 | 4,008,617 | 6 | 1.50 |
11 | Netherlands | 11 | 6 | 8 | 25 | 17,618,229 | 25 | 1.42 |
12 | Ireland | 4 | 0 | 3 | 7 | 5,056,935 | 7 | 1.38 |
13 | Kosovo | 0 | 1 | 1 | 2 | 1,586,659 | 2 | 1.26 |
14 | Lithuania | 0 | 1 | 2 | 3 | 2,718,352 | 3 | 1.10 |
15 | Hungary | 4 | 3 | 4 | 11 | 10,156,239 | 11 | 1.08 |
16 | Armenia | 0 | 2 | 1 | 3 | 2,777,970 | 3 | 1.08 |
17 | Georgia | 1 | 2 | 1 | 4 | 3,728,282 | 4 | 1.07 |
18 | Fiji | 0 | 1 | 0 | 1 | 936,375 | 1 | 1.07 |
19 | Sweden | 3 | 3 | 3 | 9 | 10,612,086 | 9 | 0.85 |
20 | France | 14 | 19 | 21 | 54 | 64,756,584 | 54 | 0.83 |
21 | Switzerland | 1 | 2 | 4 | 7 | 8,796,669 | 7 | 0.80 |
22 | Cyprus | 0 | 1 | 0 | 1 | 1,260,138 | 1 | 0.79 |
23 | GBR | 13 | 17 | 21 | 51 | 67,736,802 | 51 | 0.75 |
24 | Greece | 1 | 1 | 5 | 7 | 10,341,277 | 7 | 0.68 |
25 | Denmark | 1 | 2 | 1 | 4 | 5,910,913 | 4 | 0.68 |
26 | Israel | 1 | 4 | 1 | 6 | 9,174,520 | 6 | 0.65 |
27 | Kyrgystan | 0 | 1 | 3 | 4 | 6,735,347 | 4 | 0.59 |
28 | Bulgaria | 1 | 0 | 3 | 4 | 6,795,803 | 4 | 0.59 |
29 | Moldova | 0 | 0 | 2 | 2 | 3,435,931 | 2 | 0.58 |
30 | Korea | 13 | 8 | 7 | 28 | 51,784,059 | 28 | 0.54 |
31 | Canada | 6 | 5 | 10 | 21 | 38,871,291 | 21 | 0.54 |
32 | Cuba | 2 | 1 | 3 | 6 | 11,194,449 | 6 | 0.54 |
33 | Hong Kong | 2 | 0 | 2 | 4 | 7,491,609 | 4 | 0.53 |
34 | Belgium | 2 | 0 | 4 | 6 | 11,686,140 | 6 | 0.51 |
35 | Italy | 10 | 11 | 9 | 30 | 58,870,762 | 30 | 0.51 |
36 | Refugees | 0 | 0 | 1 | 1 | 2,000,000 | 1 | 0.50 |
37 | Slovenia | 1 | 0 | 0 | 1 | 2,119,675 | 1 | 0.47 |
38 | Romania | 3 | 4 | 1 | 8 | 19,892,918 | 8 | 0.40 |
39 | Azerbaijan | 2 | 1 | 1 | 4 | 10,412,651 | 4 | 0.38 |
40 | Botawana | 1 | 0 | 0 | 1 | 2,719,614 | 1 | 0.37 |
41 | Norway | 1 | 0 | 1 | 2 | 5,474,360 | 2 | 0.37 |
42 | Kazakhstan | 1 | 3 | 3 | 7 | 19,606,633 | 7 | 0.36 |
43 | USA | 30 | 38 | 35 | 103 | 339,996,563 | 103 | 0.30 |
44 | Tajikistan | 0 | 0 | 3 | 3 | 10,143,542 | 3 | 0.30 |
45 | Mongolia | 0 | 1 | 0 | 1 | 3,447,157 | 1 | 0.29 |
46 | Serbia | 2 | 0 | 0 | 2 | 7,149,077 | 2 | 0.28 |
47 | Germany | 9 | 9 | 5 | 23 | 83,294,633 | 23 | 0.28 |
48 | Ukraine | 3 | 3 | 4 | 10 | 36,744,634 | 10 | 0.27 |
49 | Japan | 13 | 7 | 13 | 33 | 123,294,513 | 33 | 0.27 |
50 | North Korea | 0 | 2 | 4 | 6 | 26,160,821 | 6 | 0.23 |
51 | Spain | 2 | 3 | 8 | 13 | 57,519,628 | 13 | 0.23 |
52 | Austria | 1 | 0 | 1 | 2 | 8,958,960 | 2 | 0.22 |
53 | Portugal | 0 | 1 | 1 | 2 | 10,247,605 | 2 | 0.20 |
54 | Czechia | 1 | 0 | 1 | 2 | 10,495,295 | 2 | 0.19 |
55 | Dominican Rep | 0 | 0 | 2 | 2 | 11,332,972 | 2 | 0.18 |
56 | Slovakia | 0 | 0 | 1 | 1 | 5,795,199 | 1 | 0.17 |
57 | Ecuador | 1 | 2 | 0 | 3 | 18,190,484 | 3 | 0.16 |
58 | Tunisia | 0 | 1 | 1 | 2 | 12,485,223 | 2 | 0.16 |
59 | Poland | 1 | 1 | 4 | 6 | 41,026,067 | 6 | 0.15 |
60 | Uzbekistan | 3 | 0 | 2 | 5 | 35,163,944 | 5 | 0.14 |
61 | Guatemala | 1 | 0 | 1 | 2 | 18,092,026 | 2 | 0.11 |
62 | Chile | 1 | 1 | 0 | 2 | 19,629,590 | 2 | 0.10 |
63 | Kenya | 1 | 1 | 3 | 5 | 55,100,585 | 5 | 0.09 |
64 | Jordan | 0 | 1 | 0 | 1 | 11,384,922 | 1 | 0.09 |
65 | Thailand | 1 | 3 | 2 | 6 | 71,801,279 | 6 | 0.08 |
66 | Brazil | 2 | 5 | 8 | 15 | 216,422,446 | 15 | 0.07 |
67 | Iran | 2 | 2 | 2 | 6 | 89,172,767 | 6 | 0.07 |
68 | South Africa | 1 | 1 | 2 | 4 | 60,414,495 | 4 | 0.07 |
69 | Malaysia | 0 | 0 | 2 | 2 | 34,308,525 | 2 | 0.06 |
70 | Turkey | 0 | 2 | 3 | 5 | 85,816,199 | 5 | 0.06 |
71 | Morocco | 1 | 0 | 1 | 2 | 37,840,044 | 2 | 0.05 |
72 | China | 29 | 25 | 19 | 73 | 1,425,671,352 | 73 | 0.05 |
73 | Zambia | 0 | 0 | 1 | 1 | 20,569,737 | 1 | 0.05 |
74 | Argentina | 1 | 1 | 0 | 2 | 45,773,884 | 2 | 0.04 |
75 | Uganda | 1 | 1 | 0 | 2 | 48,582,334 | 2 | 0.04 |
76 | Phillipines | 2 | 0 | 2 | 4 | 117,337,368 | 4 | 0.03 |
77 | Mexico | 0 | 2 | 2 | 4 | 128,455,567 | 4 | 0.03 |
78 | Peru | 0 | 0 | 1 | 1 | 34,352,719 | 1 | 0.03 |
79 | Algeria | 1 | 0 | 0 | 1 | 45,606,480 | 1 | 0.02 |
80 | Columbia | 0 | 1 | 0 | 1 | 52,085,168 | 1 | 0.02 |
81 | Ethiopia | 0 | 2 | 0 | 2 | 126,527,060 | 2 | 0.02 |
82 | Indonesia | 2 | 0 | 1 | 3 | 227,534,122 | 3 | 0.01 |
83 | Egypt | 0 | 0 | 1 | 1 | 112,716,598 | 1 | 0.01 |
84 | Pakistan | 1 | 0 | 0 | 1 | 245,209,815 | 1 | 0.00 |
85 | India | 0 | 1 | 4 | 5 | 1,428,627,663 | 5 | 0.00 |
Yes its per million heads (no data available for EOR 1 bronze of course)Not to be critical/dismissive of smaller nations picking up a gold, which is incredible really, but I would use that table by not including any nation with 1 gold only. I think there are plenty of global instances in which athletes are born in, e.g., the US, UK etc and represent a mother nation, or are an outlier in terms of ability etc., that 1 does not seem to represent a pattern, which is the point of the table (?)
Again, amazing achievements for small populations.
Also, i wonder if you control for one athlete winning multiple golds? e.g. gold divided by individual winners? and furthermore some sort of economic index as well..... ok, going a bit far.
(i think your table is per million head, yes?)
Taking out those countries with less than 2 gold medals we come 9th out of 29 as follows (based on 3 for gold, 2 for silver, 1 for bronze) -
1 | New Zealand | 5 | 6 | 2 | 13 | 5,228,100 | 29 | 5.55 |
2 | Australia | 18 | 14 | 13 | 45 | 26,439,111 | 95 | 3.59 |
3 | Netherlands | 11 | 6 | 8 | 25 | 17,618,229 | 53 | 3.01 |
4 | Ireland | 4 | 0 | 3 | 7 | 5,056,935 | 15 | 2.97 |
5 | Croatia | 2 | 1 | 3 | 6 | 4,008,617 | 11 | 2.74 |
6 | Hungary | 4 | 3 | 4 | 11 | 10,156,239 | 22 | 2.17 |
7 | Sweden | 3 | 3 | 3 | 9 | 10,612,086 | 18 | 1.70 |
8 | France | 14 | 19 | 21 | 54 | 64,756,584 | 101 | 1.56 |
9 | GBR | 13 | 17 | 21 | 51 | 67,736,802 | 94 | 1.39 |
10 | Korea | 13 | 8 | 7 | 28 | 51,784,059 | 62 | 1.20 |
11 | Hong Kong | 2 | 0 | 2 | 4 | 7,491,609 | 8 | 1.07 |
12 | Italy | 10 | 11 | 9 | 30 | 58,870,762 | 61 | 1.04 |
12 | Cuba | 2 | 1 | 3 | 6 | 11,194,449 | 11 | 0.98 |
14 | Canada | 6 | 5 | 10 | 21 | 38,871,291 | 38 | 0.98 |
15 | Romania | 3 | 4 | 1 | 8 | 19,892,918 | 18 | 0.90 |
16 | Azerbaijan | 2 | 1 | 1 | 4 | 10,412,651 | 9 | 0.86 |
17 | Belgium | 2 | 0 | 4 | 6 | 11,686,140 | 10 | 0.86 |
18 | Serbia | 2 | 0 | 0 | 2 | 7,149,077 | 6 | 0.84 |
19 | Germany | 9 | 9 | 5 | 23 | 83,294,633 | 50 | 0.60 |
20 | USA | 30 | 38 | 35 | 103 | 339,996,563 | 201 | 0.59 |
21 | Japan | 13 | 7 | 13 | 33 | 123,294,513 | 66 | 0.54 |
22 | Ukraine | 3 | 3 | 4 | 10 | 36,744,634 | 19 | 0.52 |
23 | Spain | 2 | 3 | 8 | 13 | 57,519,628 | 20 | 0.35 |
24 | Uzbekistan | 3 | 0 | 2 | 5 | 35,163,944 | 11 | 0.31 |
25 | Iran | 2 | 2 | 2 | 6 | 89,172,767 | 12 | 0.13 |
26 | Brazil | 2 | 5 | 8 | 15 | 216,422,446 | 24 | 0.11 |
27 | China | 29 | 25 | 19 | 73 | 1,425,671,352 | 156 | 0.11 |
28 | Phillipines | 2 | 0 | 2 | 4 | 117,337,368 | 8 | 0.07 |
29 | Indonesia | 2 | 0 | 1 | 3 | 227,534,122 | 7 | 0.03 |
Note not updated for the most recent medals in the last hour
Regarding updating for some measure of GDP data by country I will leave that one with you
supercity88
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Hopeful the cyclists can add a few medals today...Finucane looked pretty tired in the kierin but hopefully has recovered and can take gold in the sprint. The girls in the madison have an excellent chance as well. And Carlin can potentially medal in the men's sprint too - but I think it is likely to be bronze at best.