ꯃꯈꯂꯁꯤꯡ · ꯁꯥꯏꯗ ꯕꯦꯠꯁꯤꯡ · ꯃꯤꯅꯤꯠ 10

ꯗꯥꯏꯁ ꯑꯃꯁꯨꯡ ꯗ꯭ꯔꯣ ꯁꯥꯏꯗ ꯕꯦꯠꯁꯤꯡ

ꯆꯛꯔꯗ ꯑꯅꯤꯁꯨꯕ ꯔꯦꯟꯗꯝ ꯈꯨꯠꯂꯥꯏ ꯑꯃꯥ ꯍꯥꯄꯆꯤꯟꯕ ꯁꯥꯏꯗ ꯕꯦꯠꯁꯤꯡ: ꯗꯥꯏꯁ, ꯀꯥꯔꯗ, ꯂꯧꯊꯣꯛꯂꯕ ꯃꯁꯤꯡ, ꯃꯅꯨꯡꯒꯤ ꯔꯤꯡ ꯑꯃꯥ, ꯍꯦꯟꯅꯥ ꯕꯣꯜ꯫ ꯈꯨꯠꯂꯥꯏ ꯑꯗꯨꯅ ꯈꯨꯗꯣꯜ ꯍꯥꯄꯆꯤꯜꯂꯤ; ꯃꯃꯜ ꯑꯗꯨꯗꯤ ꯍꯧꯖꯤꯀꯁꯨ ꯄꯦꯑꯥꯎꯠꯀꯤ ꯃꯥꯌꯣꯛꯇ ꯃꯍꯩꯁꯤꯡ ꯃꯁꯤꯡ ꯊꯤꯕꯅꯤ꯫

ꯊꯨꯅ ꯄꯥꯎꯈꯨꯝ

ꯕꯦꯠꯁꯤꯡ ꯑꯁꯤ ꯁ꯭ꯄꯤꯟ ꯑꯃꯁꯨꯡ ꯑꯇꯣꯞꯄ ꯄꯣꯠ ꯑꯃꯒꯥ ꯄꯨꯟꯅ ꯂꯣꯏꯁꯤꯜꯂꯤ꯫ ꯔꯨꯜ 8 ꯑꯃꯁꯨꯡ ꯂꯀꯤ ꯀꯂꯔ ꯆꯤꯞꯁꯅ ꯗꯥꯏꯁ ꯑꯍꯨꯝ ꯂꯥꯜꯂꯤ ꯑꯃꯁꯨꯡ 5.46% ꯆꯪꯏ꯫ ꯂꯀꯤ ꯕꯣꯜꯅ ꯃꯁꯤꯡ ꯃꯔꯤ ꯂꯧꯊꯣꯀꯏ ꯑꯃꯁꯨꯡ ꯃꯆꯨ ꯃꯇꯨꯡ ꯏꯟꯅ 4.05% ꯗꯒꯤ 6.08% ꯐꯥꯑꯣꯕ ꯆꯪꯏ꯫ ꯕ꯭ꯂꯦꯖꯤꯡ 7ꯁꯅ ꯃꯁꯤꯡ ꯑꯍꯨꯝ ꯂꯧꯊꯣꯀꯏ ꯑꯃꯁꯨꯡ 10.07% ꯆꯪꯏ, ꯑꯗꯨꯒꯥ ꯆꯛꯔꯒꯤ ꯃꯅꯨꯡꯗ ꯀꯣꯏꯔꯤꯕ ꯑꯅꯤꯁꯨꯕ ꯔꯤꯡ ꯑꯃꯥ ꯑꯣꯏꯔꯤꯕ ꯔꯤꯆꯔ ꯁ꯭ꯄꯤꯟꯅ 12.47% ꯆꯪꯏ꯫ ꯁ꯭ꯞꯔꯦꯗ-ꯕꯦꯠꯅ ꯃꯁꯤꯡꯒꯤ ꯔꯤꯡ ꯑꯅꯤ ꯄꯨꯟꯁꯤꯜꯂꯤ ꯑꯃꯁꯨꯡ ꯁꯤꯡꯒꯜ ꯖꯤꯔꯣ ꯆꯛꯔꯗ 8.69% ꯗꯒꯤ 12.34% ꯐꯥꯑꯣꯕ ꯆꯪꯏ; ꯁꯤꯝꯕꯣꯜ ꯇꯔꯦꯠꯀꯤ ꯔꯤꯜ ꯑꯃꯥ ꯑꯣꯏꯔꯤꯕ ꯂꯀꯤ ꯁꯤꯝꯕꯣꯂꯁꯅ ꯏꯔꯝ ꯊꯝꯂꯕ ꯂꯥꯏꯟ ꯈꯨꯗꯤꯡꯃꯛꯇ 10% ꯗꯒꯤ ꯍꯦꯟꯅ ꯆꯪꯏ꯫

ꯔꯨꯜ 8
5.46%
ꯂꯀꯤ ꯕꯣꯜ
4.05% ꯗꯒꯤ 6.08%
ꯕ꯭ꯂꯦꯖꯤꯡ 7ꯁ
10.07%
ꯔꯤꯆꯔ ꯁ꯭ꯄꯤꯟ
12.47%

ꯃꯅꯥꯛꯇ ꯗꯥꯏꯁ ꯑꯃꯁꯨꯡ ꯀꯥꯔꯗ

ꯕ꯭ꯔꯁꯦꯜꯁꯇ ꯁꯥꯟꯅꯕ ꯔꯨꯜ 8 ꯅ ꯃꯥꯏꯀꯩ ꯑꯃꯗ 8 ꯂꯩꯕ ꯗꯥꯏꯁ ꯑꯍꯨꯝ ꯂꯥꯜꯂꯤ: ꯕꯣꯜꯈꯨꯠꯂꯥꯏꯕꯣꯜꯔꯣꯇꯔꯒꯤ ꯃꯥꯌꯣꯛꯇ ꯇ꯭ꯔꯦꯛꯇ ꯊꯥꯗꯣꯛꯄ ꯑꯄꯤꯛꯄ ꯕꯣꯜ꯫ ꯍꯧꯖꯤꯛꯀꯤ ꯕꯣꯜꯁꯤꯡ ꯑꯥꯏꯚꯣꯔꯤꯟ ꯅꯠꯔꯒ ꯇꯦꯐ꯭ꯂꯣꯅꯅ ꯁꯦꯝꯃꯤ, 18–21 mm꯫ꯃꯄꯨꯡ ꯄꯥꯕꯤꯌꯨ → ꯑꯗꯨ 8 ꯗ ꯂꯦꯞꯂꯕꯗ ꯑꯃꯁꯨꯡ ꯗꯥꯏꯁ ꯑꯍꯨꯝ ꯄꯨꯝꯅꯃꯛꯇ 8 ꯊꯣꯛꯂꯕꯗ 1 ꯊꯝꯂꯕꯗ 888 ꯍꯜꯂꯀꯏ꯫ ꯁꯤꯡꯒꯜ ꯖꯤꯔꯣꯆꯛꯔꯖꯤꯔꯣꯆꯞ ꯃꯥꯟꯅꯕ, ꯗꯖꯟ ꯅꯠꯔꯒ ꯀꯂꯝ ꯕꯦꯠ ꯑꯃꯠꯇꯅ ꯀꯨꯞꯇꯕ ꯑꯁꯪꯕ ꯄꯣꯀꯦꯠ ꯑꯃꯈꯛꯇ; ꯍꯥꯎꯁ ꯑꯦꯖꯀꯤ ꯍꯧꯔꯀꯐꯝꯅꯤ꯫ ꯑꯇꯣꯞꯄ ꯃꯃꯤꯡ: ꯁꯤꯡꯒꯜ ꯖꯤꯔꯣ, 0꯫ꯃꯄꯨꯡ ꯄꯥꯕꯤꯌꯨ → ꯆꯛꯔꯗ 5.46% ꯑꯣꯏꯕꯅ ꯃꯁꯤ ꯏꯔꯝ ꯊꯝꯂꯕ ꯈ꯭ꯕꯥꯏꯗꯒꯤ ꯌꯣꯝꯕ ꯁꯥꯏꯗ ꯕꯦꯠꯁꯤꯡꯕꯦꯠꯁꯥꯏꯗ ꯕꯦꯠꯃꯔꯨꯑꯣꯏꯕ ꯁꯥꯟꯅꯕꯗ ꯁꯝꯃꯤꯟꯅꯕ ꯊꯃꯒꯗꯕ ꯅꯠꯇꯕ ꯍꯦꯟꯅꯥ ꯊꯝꯕ ꯕꯦꯠ, ꯌꯥꯝꯅ ꯁ꯭ꯇ꯭ꯔꯤꯛ, ꯕꯣꯅꯁ ꯊꯧꯔꯝ ꯅꯠꯔꯒ ꯖꯦꯀꯄꯣꯠ ꯑꯃꯗ꯫ ꯌꯥꯝꯅ ꯃꯇꯃꯗ ꯃꯔꯨꯑꯣꯏꯕ ꯕꯦꯠꯁꯤꯡꯗꯒꯤ ꯃꯃꯜ ꯍꯦꯟꯅꯥ ꯆꯪꯏ꯫ꯃꯄꯨꯡ ꯄꯥꯕꯤꯌꯨ → ꯑꯃꯅꯤ꯫ ꯖꯦꯀꯄꯣꯠ ꯁ꯭ꯇ꯭ꯔꯤꯠꯁꯅꯕꯦꯠꯁ꯭ꯇ꯭ꯔꯤꯠꯂꯦꯑꯥꯎꯠꯀꯤ ꯂꯥꯏꯟ ꯑꯃꯗ ꯂꯩꯕ ꯃꯁꯤꯡ ꯑꯍꯨꯝ, 11:1 ꯄꯦꯑꯥꯎꯠ꯫ ꯐ꯭ꯔꯦꯟꯆ: ꯇ꯭ꯔꯥꯟꯁꯚꯔꯁꯥꯜ꯫ꯃꯄꯨꯡ ꯄꯥꯕꯤꯌꯨ → ꯁ꯭ꯇ꯭ꯔꯤꯠ ꯑꯃꯒꯤ ꯄꯦꯑꯥꯎꯠꯁꯦꯜꯄꯦꯑꯥꯎꯠꯃꯥꯏꯄꯥꯛꯄ ꯕꯦꯠ ꯑꯃꯅ ꯍꯜꯂꯛꯄ ꯁꯦꯜ, ꯍꯜꯂꯀꯄ ꯊꯝꯂꯕ ꯁꯦꯜꯒꯤ ꯃꯊꯛꯇ “X ꯗꯒꯤ 1” ꯍꯥꯌꯅ ꯍꯥꯌꯏ꯫ꯃꯄꯨꯡ ꯄꯥꯕꯤꯌꯨ → 11 ꯗꯒꯤ 1 ꯗꯒꯤ 5 ꯗꯒꯤ 1 ꯐꯥꯑꯣꯕ ꯍꯟꯊꯍꯜꯂꯤ, ꯃꯇꯨꯡꯗ ꯗꯥꯏꯁ ꯑꯅꯤꯗ ꯇꯔꯨꯛ ꯑꯃꯥ ꯊꯣꯛꯂꯕꯗ 17 ꯗꯒꯤ 1 ꯑꯃꯁꯨꯡ ꯑꯅꯤ ꯊꯣꯛꯂꯕꯗ 90 ꯗꯒꯤ 1 ꯄꯤ: 5.18%, ꯁ꯭ꯇ꯭ꯔꯤꯠ ꯃꯍꯧꯁꯥꯒꯤ 2.70% ꯒꯥ ꯆꯥꯡꯗꯝꯅꯕꯗ꯫ ꯁ꯭ꯇꯤꯐꯦꯟ ꯑꯥꯎ-ꯌꯨꯡꯒꯤ ꯐ꯭ꯂꯥꯁ ꯔꯨꯂꯦꯠꯅ ꯁ꯭ꯄꯤꯟ ꯈꯨꯗꯤꯡꯗ ꯁꯨꯠ ꯗꯥꯏꯁ ꯅꯠꯔꯒ ꯀꯥꯔꯗꯅ ꯁꯨꯠ ꯑꯅꯤ ꯂꯧꯊꯣꯀꯏ, ꯑꯃꯁꯨꯡ ꯅꯍꯥꯛꯀꯤꯒꯥ ꯃꯥꯟꯅꯕ ꯑꯃꯠꯇ ꯂꯩꯇꯕꯗ, ꯑꯃꯥ ꯂꯩꯕꯗ ꯅꯠꯔꯒ ꯑꯅꯤꯃꯛ ꯂꯩꯕꯗ ꯁ꯭ꯇ꯭ꯔꯦꯠ-ꯑꯞꯕꯦꯠꯁ꯭ꯇ꯭ꯔꯦꯠ-ꯑꯞꯃꯁꯤꯡ ꯑꯃꯈꯛꯇ, 35:1 ꯄꯦꯑꯥꯎꯠ꯫ꯃꯄꯨꯡ ꯄꯥꯕꯤꯌꯨ → ꯑꯃꯗ 17, 50 ꯅꯠꯔꯒ 100 ꯗꯒꯤ 1 ꯄꯤ꯫ ꯃꯥꯏꯄꯥꯛꯂꯕ ꯄꯦꯑꯥꯎꯠꯀꯤ ꯑꯦꯚꯔꯦꯖ 34 9/16 ꯗꯒꯤ 1 ꯑꯣꯏ, 35 ꯗꯒꯤ ꯈꯔꯥ ꯍꯟꯊꯕ, ꯃꯔꯝ ꯑꯗꯨꯅ ꯍꯥꯎꯁ ꯑꯦꯖ 3.89% ꯑꯣꯏ; 51 ꯑꯃꯁꯨꯡ 101 ꯗꯒꯤ 1 ꯄꯤꯔꯕꯗꯤ 2.70% ꯍꯜꯂꯛꯀꯅꯤ꯫

ꯐ꯭ꯂꯥꯁ ꯔꯨꯂꯦꯠꯇ ꯇꯧꯕꯒꯨꯝꯅ, ꯁꯨꯠ ꯗꯥꯏꯁ ꯑꯃꯁꯨꯡ ꯀꯥꯔꯗꯅ ꯁ꯭ꯄꯤꯟ ꯈꯨꯗꯤꯡꯗ ꯁꯨꯠ ꯑꯅꯤ ꯂꯧꯊꯣꯀꯏ꯫

ꯔꯨꯜ 8: ꯗꯥꯏꯁ ꯑꯍꯨꯝ ꯑꯃꯁꯨꯡ ꯂꯀꯤ ꯃꯁꯤꯡ ꯑꯃꯥ

ꯕ꯭ꯔꯁꯦꯜꯁꯀꯤ ꯒ꯭ꯔꯦꯟꯗ ꯀꯦꯁꯤꯅꯣꯗ ꯂꯩꯕ ꯔꯨꯜ 8 ꯅ ꯗꯥꯏꯁ ꯑꯍꯨꯝ ꯍꯥꯄꯆꯤꯜꯂꯤ, ꯃꯈꯣꯌ ꯈꯨꯗꯤꯡꯃꯛ ꯃꯥꯏꯀꯩ ꯑꯃꯗ 8 ꯂꯩꯕ ꯅꯠꯇꯅ ꯑꯇꯣꯞꯄꯗꯤ ꯑꯔꯥꯞꯄꯅꯤ (ꯈꯔꯥ ꯋꯥꯔꯤꯗ ꯃꯁꯤ ∞, ꯍꯥꯟꯊꯔꯛꯂꯕ 8 ꯑꯃꯅꯤ)꯫ ꯕꯦꯠ ꯑꯁꯤꯅ ꯕꯣꯜ 8 ꯗ ꯂꯦꯞꯂꯕꯗ, ꯗꯥꯏꯁꯇ 8 ꯊꯣꯛꯂꯕꯗ ꯅꯠꯔꯒ ꯑꯅꯤꯃꯛ ꯑꯣꯏꯔꯕꯗ “1 ꯊꯝꯂꯕꯗ” ꯄꯦꯑꯥꯎꯠ ꯄꯤ꯫ 1 ꯊꯝꯂꯕꯗ 888 ꯑꯣꯏꯕ ꯈ꯭ꯕꯥꯏꯗꯒꯤ ꯆꯥꯎꯕ ꯈꯨꯗꯣꯜ ꯑꯗꯨꯒꯤꯗꯃꯛ ꯕꯣꯜ 8 ꯗ ꯑꯃꯁꯨꯡ ꯗꯥꯏꯁ ꯑꯍꯨꯝ ꯄꯨꯝꯅꯃꯛ 8 ꯗ ꯂꯩꯒꯗꯕꯅꯤ: 7,992 ꯗ 1 ꯒꯤ ꯈꯨꯗꯣꯡꯆꯥꯕ, ꯊꯝꯂꯕ ꯗꯣꯂꯥꯔ ꯈꯨꯗꯤꯡꯃꯛꯇ ꯁꯦꯟꯠ 11 ꯒꯤ ꯃꯃꯜ꯫ ꯑꯃꯨꯛ ꯇꯔꯥꯗ ꯑꯃꯨꯛ ꯃꯥꯄꯟ ꯕꯦꯠ ꯑꯁꯤꯅ ꯀꯔꯤꯒꯨꯝꯕ ꯑꯃꯠꯇ ꯍꯜꯂꯛꯇꯦ꯫ ꯍꯥꯎꯁ ꯑꯦꯖ ꯁꯤꯡꯒꯜ ꯖꯤꯔꯣ ꯆꯛꯔꯗ 5.46% ꯑꯃꯁꯨꯡ ꯗꯕꯜ ꯖꯤꯔꯣ ꯆꯛꯔꯗ 6.51% ꯑꯣꯏ, ꯁꯥꯏꯗ ꯕꯦꯠ ꯑꯃꯒꯤꯗꯃꯛ ꯅꯦꯝꯕꯅꯤ꯫

ꯕꯣꯜ8 ꯊꯣꯛꯂꯤꯕ ꯗꯥꯏꯁꯄꯤꯕ (1 ꯊꯝꯂꯕꯗ)
8 ꯗ3888
8 ꯗ288
8 ꯗ18
8 ꯗ04
ꯑꯇꯣꯞꯄ ꯃꯐꯝꯗ388
ꯑꯇꯣꯞꯄ ꯃꯐꯝꯗ22
ꯑꯇꯣꯞꯄ ꯃꯐꯝꯗ0 ꯅꯠꯔꯒ 1ꯀꯔꯤꯁꯨ ꯅꯥꯏꯗꯦ
ꯄꯦꯑꯥꯎꯠ ꯇꯦꯕꯜ Bollman (2021) ꯗꯒꯤꯅꯤ; ꯍꯥꯎꯁ ꯑꯦꯖꯁꯤꯡ ꯃꯐꯝ ꯑꯁꯤꯗ ꯑꯃꯨꯛ ꯍꯟꯅꯥ ꯊꯤꯖꯤꯜꯂꯤ꯫

ꯂꯀꯤ ꯀꯂꯔ ꯆꯤꯞꯁ: ꯅꯍꯥꯛꯀꯤ ꯃꯆꯨꯒꯤ ꯗꯥꯏꯁ

2022 ꯗ ꯑꯥꯏꯔꯂꯦꯟꯗꯀꯤ ꯀꯣꯔꯀꯇ ꯂꯩꯕ ꯃꯀꯥꯎ ꯀꯦꯁꯤꯅꯣ ꯀꯝꯞ꯭ꯂꯦꯛꯁꯇ ꯂꯩꯔꯝꯕ ꯂꯀꯤ ꯀꯂꯔ ꯆꯤꯞꯁꯁꯦꯜꯆꯤꯞꯂꯦꯞꯂꯕ ꯁꯦꯜꯒꯤ ꯃꯃꯜ ꯇꯥꯛꯄ ꯇꯣꯀꯟ, ꯕꯦꯠ ꯊꯝꯅꯕ ꯂꯦꯑꯥꯎꯠꯇ ꯊꯝꯃꯤ꯫ ꯑꯇꯣꯞꯄ ꯃꯃꯤꯡ: ꯆꯦꯛ꯫ꯃꯄꯨꯡ ꯄꯥꯕꯤꯌꯨ → ꯑꯁꯤ ꯁꯥꯟꯅꯔꯤꯕ ꯇꯔꯨꯛ ꯐꯥꯑꯣꯒꯤꯗꯃꯛ ꯁ꯭ꯇ꯭ꯔꯦꯠ-ꯑꯞ ꯁꯥꯏꯗ ꯕꯦꯠ ꯑꯃꯅꯤ, ꯃꯤ ꯈꯨꯗꯤꯡꯃꯛꯀꯤ ꯃꯁꯥꯒꯤ ꯆꯤꯞ ꯃꯆꯨ ꯂꯩ꯫ ꯅꯍꯥꯛꯀꯤ ꯃꯁꯤꯡ ꯃꯥꯏꯄꯥꯛꯂꯕꯗ ꯗꯥꯏꯁ ꯑꯍꯨꯝ ꯂꯥꯜꯂꯤ, ꯃꯈꯣꯌ ꯈꯨꯗꯤꯡꯃꯛꯀꯤ ꯃꯥꯏꯀꯩꯁꯤꯡꯗ ꯆꯤꯞ ꯃꯆꯨ ꯇꯔꯨꯛ ꯂꯩ꯫ ꯑꯍꯨꯝ ꯄꯨꯝꯅꯃꯛ ꯅꯍꯥꯛꯀꯤ ꯃꯆꯨꯗ ꯊꯣꯛꯂꯕꯗ 300 ꯗꯒꯤ 1; ꯑꯍꯨꯝ ꯄꯨꯝꯅꯃꯛ ꯑꯇꯣꯞꯄ ꯃꯆꯨ ꯑꯃꯈꯛꯇꯗ, ꯅꯠꯔꯒ ꯑꯅꯤ ꯅꯍꯥꯛꯀꯤ ꯃꯆꯨꯗ ꯊꯣꯛꯂꯕꯗ 70 ꯗꯒꯤ 1; ꯑꯇꯣꯞꯄ ꯃꯆꯨ ꯑꯃꯗ ꯃꯥꯟꯅꯕ ꯑꯅꯤ ꯊꯣꯛꯂꯕꯗ 40 ꯗꯒꯤ 1; ꯃꯆꯨ ꯇꯣꯉꯥꯟꯕ ꯑꯍꯨꯝ ꯊꯣꯛꯂꯕꯗ 22 ꯗꯒꯤ 1꯫ ꯃꯥꯏꯄꯥꯛꯄ ꯈꯨꯗꯤꯡꯃꯛꯅ ꯈ꯭ꯕꯥꯏꯗꯒꯤ ꯅꯦꯝꯕꯗ 22 ꯗꯒꯤ 1 ꯄꯤ, ꯑꯗꯨꯕꯨ ꯕꯦꯠ ꯑꯁꯤꯅ ꯁꯤꯡꯒꯜ ꯖꯤꯔꯣ ꯆꯛꯔꯗ 5.46% ꯆꯪꯏ, ꯁ꯭ꯇ꯭ꯔꯦꯠ-ꯑꯞ ꯃꯍꯧꯁꯥꯒꯤ ꯑꯃꯨꯛ ꯑꯅꯤ꯫

ꯗꯥꯏꯁ ꯑꯍꯨꯝ ꯄꯨꯝꯅꯃꯛꯇ ꯁꯥꯟꯅꯔꯤꯕ ꯑꯃꯒꯤ ꯆꯤꯞ ꯃꯆꯨ ꯊꯣꯛꯂꯤ, ꯃꯁꯤꯅ 300 ꯗꯒꯤ 1 ꯄꯤ꯫

ꯂꯀꯤ ꯕꯣꯜ: ꯂꯧꯊꯣꯛꯂꯕ ꯃꯁꯤꯡ ꯃꯔꯤ

ꯂꯀꯤ ꯕꯣꯜ ꯑꯁꯤ ꯏꯂꯦꯛꯠꯔꯣꯅꯤꯛ ꯁꯤꯡꯒꯜ ꯖꯤꯔꯣ ꯒꯦꯝ ꯑꯃꯅꯤ꯫ ꯕꯦꯠ ꯊꯤꯡꯂꯕꯥ ꯃꯇꯨꯡꯗ ꯃꯁꯤꯡ ꯃꯔꯤ ꯔꯦꯟꯗꯝ ꯑꯣꯏꯅ ꯂꯧꯊꯣꯀꯏ, ꯑꯉꯥꯡꯕꯕꯦꯠꯑꯉꯥꯡꯕꯑꯉꯥꯡꯕ ꯃꯁꯤꯡ 18 ꯗ ꯊꯝꯕ ꯆꯞ ꯃꯥꯟꯅꯕ ꯕꯦꯠ꯫ ꯐ꯭ꯔꯦꯟꯆ: ꯔꯨꯖ꯫ꯃꯄꯨꯡ ꯄꯥꯕꯤꯌꯨ →, ꯑꯁꯪꯕ, ꯕ꯭ꯂꯨ ꯑꯃꯁꯨꯡ ꯌꯦꯂꯣꯒꯤꯗꯃꯛ ꯑꯃꯃꯃꯛ, ꯑꯃꯁꯨꯡ ꯃꯆꯨ ꯃꯔꯤ ꯑꯗꯨꯒꯤ ꯃꯅꯨꯡꯗꯒꯤ ꯑꯃꯥ ꯕꯣꯅꯁꯀꯤꯗꯃꯛ ꯈꯅꯕꯤ꯫ ꯃꯆꯨ ꯑꯃꯗ ꯊꯝꯂꯕ ꯕꯦꯠ ꯑꯃꯅ ꯁ꯭ꯄꯤꯟ ꯑꯗꯨ ꯃꯆꯨ ꯑꯗꯨꯒꯤ ꯃꯁꯤꯡꯗ ꯂꯦꯞꯂꯕꯗ ꯃꯥꯏꯄꯥꯀꯏ, ꯑꯃꯨꯛ 37 ꯗ ꯑꯃꯨꯛ 1, ꯑꯃꯁꯨꯡ ꯃꯆꯨ ꯑꯗꯨ ꯈꯅꯕꯤꯔꯕꯗꯤ ꯕꯣꯅꯁꯀꯤ ꯄꯦꯑꯥꯎꯠ ꯄꯤ꯫ A ꯗꯒꯤ 1 ꯄꯤꯕ, ꯅꯠꯔꯒ ꯕꯣꯅꯁꯀꯥ ꯂꯣꯌꯅꯅ B ꯗꯒꯤ 1 ꯄꯤꯕ ꯃꯆꯨ ꯑꯃꯒꯤꯗꯃꯛ ꯍꯥꯎꯁ ꯑꯦꯖ (144 − 3A − B)/148 ꯑꯣꯏ; ꯃꯁꯤ ꯀꯗꯥꯏꯗꯒꯤ ꯂꯥꯀꯄꯅꯣ ꯍꯥꯌꯕꯗꯨ ꯃꯈꯥꯗꯥ ꯂꯩꯕ ꯁꯃꯁ꯭ꯌꯥꯁꯤꯡꯅ ꯎꯠꯂꯤ꯫ ꯈ꯭ꯕꯥꯏꯗꯒꯤ ꯅꯦꯝꯕ ꯄꯦꯑꯥꯎꯠ ꯇꯦꯕꯜꯁꯦꯜꯄꯦꯑꯥꯎꯠ ꯇꯦꯕꯜꯕꯦꯠ ꯅꯠꯔꯒ ꯃꯍꯩ ꯈꯨꯗꯤꯡꯃꯛꯅ ꯀꯌꯥ ꯄꯤꯕꯒꯦ ꯍꯥꯌꯕꯒꯤ ꯂꯤꯁ꯭ꯠ꯫ ꯃꯦꯁꯤꯅꯁꯤꯡ ꯑꯃꯁꯨꯡ ꯁꯥꯏꯗ ꯕꯦꯠꯁꯤꯡꯗ ꯍꯥꯎꯁ ꯑꯦꯖ ꯂꯦꯞꯄꯤꯕ ꯃꯐꯝꯅꯤ꯫ꯃꯄꯨꯡ ꯄꯥꯕꯤꯌꯨ → ꯑꯣꯏꯔꯤꯕ ꯑꯉꯥꯡꯕ ꯑꯗꯨ ꯈ꯭ꯕꯥꯏꯗꯒꯤ ꯌꯣꯝꯕꯅꯤ꯫

ꯃꯆꯨꯄꯤꯕꯕꯣꯅꯁꯀꯥ ꯂꯣꯌꯅꯅꯍꯥꯎꯁ ꯑꯦꯖ
ꯑꯉꯥꯡꯕ6 ꯗꯒꯤ 1120 ꯗꯒꯤ 14.05%
ꯑꯁꯪꯕ12 ꯗꯒꯤ 1100 ꯗꯒꯤ 15.41%
ꯕ꯭ꯂꯨ20 ꯗꯒꯤ 175 ꯗꯒꯤ 16.08%
ꯌꯦꯂꯣ25 ꯗꯒꯤ 160 ꯗꯒꯤ 16.08%
ꯄꯦꯑꯥꯎꯠ ꯇꯦꯕꯜ Bollman (2021) ꯗꯒꯤꯅꯤ; ꯍꯥꯎꯁ ꯑꯦꯖꯁꯤꯡ ꯑꯩꯈꯣꯌꯅ ꯊꯤꯖꯤꯜꯂꯕꯅꯤ꯫ ꯆꯛꯔ ꯑꯗꯨꯃꯛꯇ ꯁ꯭ꯇ꯭ꯔꯦꯠ-ꯑꯞ ꯃꯍꯧꯁꯥ ꯑꯃꯅ 2.70% ꯆꯪꯏ꯫

ꯑꯅꯧꯕ ꯂꯀꯤ ꯕꯣꯜ ꯑꯃꯥ

2024 ꯗ ꯊꯥꯖꯤꯜꯂꯕ ꯋꯥꯁꯤꯡꯇꯟ ꯁ꯭ꯇꯦꯠꯀꯤꯗꯃꯛ ꯏꯟꯇꯔꯕ꯭ꯂꯣꯛꯀꯤ ꯅꯤꯌꯝꯁꯤꯡꯅ ꯃꯃꯤꯡ ꯑꯗꯨꯃꯛ ꯂꯩꯕ ꯑꯇꯣꯞꯄ ꯕꯦꯠ ꯑꯃꯥ ꯐꯣꯡꯗꯣꯛꯂꯤ꯫ ꯅꯍꯥꯛꯅ ꯂꯀꯤ ꯃꯁꯤꯡ ꯑꯃꯥ ꯈꯅꯕꯤ꯫ ꯔꯦꯟꯗꯝ ꯑꯣꯏꯅ, ꯄꯦꯑꯥꯎꯠ ꯇꯦꯕꯜ ꯃꯇꯨꯡ ꯏꯟꯅ ꯑꯦꯚꯔꯦꯖꯗ ꯁ꯭ꯄꯤꯟ 5 ꯗꯒꯤ 30 ꯐꯥꯑꯣꯕꯗ ꯑꯃꯨꯛ, ꯁꯥꯟꯅꯔꯤꯕ ꯕꯣꯜ ꯑꯗꯨ ꯂꯀꯤ ꯕꯣꯜ ꯑꯣꯏꯔꯛꯏ꯫ ꯂꯀꯤ ꯕꯣꯜ ꯂꯥꯀꯄ ꯃꯇꯝ ꯈꯨꯗꯤꯡꯗ ꯕꯦꯠ ꯑꯁꯤꯅ ꯑꯄꯤꯀꯄ ꯈꯨꯗꯣꯜ ꯑꯃꯥ, 2 ꯗꯒꯤ 1 ꯗꯒꯤ 11 ꯗꯒꯤ 1 ꯐꯥꯑꯣ ꯄꯤ, ꯑꯃꯁꯨꯡ ꯃꯁꯤ ꯅꯍꯥꯛꯀꯤ ꯃꯁꯤꯡꯗ ꯂꯦꯞꯂꯕꯗ ꯑꯆꯧꯕ ꯈꯨꯗꯣꯜ ꯑꯃꯥ, 40 ꯗꯒꯤ 1 ꯗꯒꯤ 575 ꯗꯒꯤ 1 ꯐꯥꯑꯣ ꯄꯤ; ꯑꯆꯧꯕ ꯈꯨꯗꯣꯜ ꯑꯗꯨ ꯈꯛꯇꯃꯛ ꯄꯤ꯫ ꯀꯦꯁꯤꯅꯣꯅ ꯄꯦꯑꯥꯎꯠ ꯇꯦꯕꯜ ꯇꯔꯥꯃꯉꯥꯒꯤ ꯃꯅꯨꯡꯗꯒꯤ ꯑꯃꯥ ꯈꯅꯕꯤ, ꯃꯈꯣꯌꯅ ꯊꯝꯂꯕ ꯁꯦꯜꯒꯤ 80.00% ꯗꯒꯤ 91.35% ꯐꯥꯑꯣ ꯍꯜꯂꯀꯏ: ꯍꯥꯎꯁ ꯑꯦꯖ 8.65% ꯗꯒꯤ 20.00% ꯐꯥꯑꯣ, ꯑꯔꯤꯕ ꯑꯉꯥꯡꯕ ꯂꯥꯏꯟ ꯑꯗꯨꯗꯒꯤ ꯑꯃꯨꯛ ꯑꯅꯤꯗꯒꯤ ꯃꯉꯥ ꯐꯥꯑꯣ꯫

ꯕ꯭ꯂꯦꯖꯤꯡ 7ꯁ: ꯂꯧꯊꯣꯛꯂꯕ ꯇꯔꯦꯠ ꯑꯍꯨꯝ

ꯁꯥꯏꯟꯇꯤꯐꯤꯛ ꯒꯦꯃꯁꯀꯤ ꯕ꯭ꯂꯦꯖꯤꯡ 7ꯁ ꯑꯁꯤ ꯕꯣꯜ ꯑꯗꯨ 7, 17 ꯅꯠꯔꯒ 27 ꯗ ꯂꯦꯞꯂꯕꯗ ꯃꯥꯏꯄꯥꯀꯏ꯫ ꯃꯇꯨꯡꯗ ꯆꯛꯔꯗ ꯂꯩꯕ 38 ꯗꯒꯤ ꯃꯁꯤꯡ ꯑꯍꯨꯝ ꯑꯃꯨꯛ ꯍꯟꯅꯥ ꯂꯧꯊꯣꯛꯇꯅ ꯂꯧꯊꯣꯀꯏ, ꯑꯃꯁꯨꯡ ꯈꯨꯗꯣꯜ ꯑꯗꯨ ꯑꯍꯨꯝ ꯑꯗꯨꯒꯤ ꯃꯅꯨꯡꯗ 7, 17 ꯅꯠꯔꯒ 27 ꯀꯌꯥ ꯂꯩꯕꯒꯤ ꯃꯈꯥ ꯄꯣꯜꯂꯤ: ꯑꯍꯨꯝ ꯄꯨꯝꯅꯃꯛꯇ 1,000 ꯗꯒꯤ 1, ꯑꯅꯤꯗ 100 ꯗꯒꯤ 1, ꯑꯃꯗ 17 ꯗꯒꯤ 1, ꯑꯃꯠꯇ ꯂꯩꯇꯕꯗ 7 ꯗꯒꯤ 1꯫ ꯕꯦꯠ ꯑꯁꯤꯅ 10.07% ꯆꯪꯏ꯫ ꯂꯧꯊꯣꯀꯄꯗ ꯑꯃꯨꯛ ꯍꯟꯅꯥ ꯂꯧꯊꯣꯀꯄ ꯌꯥꯔꯕꯗꯤ ꯈꯨꯗꯣꯜ ꯑꯗꯨꯃꯛꯅ 4.48% ꯈꯛꯇ ꯆꯪꯒꯅꯤ: ꯂꯧꯊꯣꯛꯂꯕ ꯇꯔꯦꯠ ꯑꯃꯥ ꯑꯃꯨꯛ ꯍꯟꯅꯥ ꯂꯧꯊꯣꯀꯄ ꯌꯥꯗꯦ, ꯃꯔꯝ ꯑꯗꯨꯅ ꯑꯆꯧꯕ ꯈꯨꯗꯣꯂꯁꯤꯡ ꯍꯦꯟꯅꯥ ꯌꯥꯝꯅꯥ ꯊꯣꯀꯄ ꯌꯥꯗꯦ꯫

ꯂꯧꯊꯣꯛꯂꯕ ꯑꯍꯨꯝꯒꯤ ꯃꯅꯨꯡꯗ ꯇꯔꯦꯠꯁꯤꯡꯃꯑꯣꯡ (8,436 ꯒꯤ ꯃꯅꯨꯡꯗ)ꯄꯤꯕ
311,000 ꯗꯒꯤ 1
2105100 ꯗꯒꯤ 1
11,78517 ꯗꯒꯤ 1
06,5457 ꯗꯒꯤ 1
ꯂꯧꯊꯣꯀꯄ ꯑꯗꯨ ꯕꯣꯜ 7, 17 ꯅꯠꯔꯒ 27 ꯗ ꯂꯦꯞꯂꯕꯥ ꯃꯇꯨꯡꯗ ꯈꯛꯇꯃꯛ ꯊꯣꯀꯏ, ꯁ꯭ꯄꯤꯟ 38 ꯗ 3꯫ ꯃꯍꯩꯁꯤꯡ ꯃꯁꯤꯡ ꯊꯤꯔꯕꯗ ꯍꯥꯌꯔꯤꯕ ꯍꯥꯎꯁ ꯑꯦꯖꯁꯤꯡ ꯐꯪꯏ, ꯃꯈꯣꯌ ꯐꯣꯡꯗꯣꯛꯂꯕ ꯃꯁꯤꯡꯁꯤꯡꯒꯥ ꯃꯥꯟꯅꯩ꯫

ꯔꯤꯆꯔ ꯁ꯭ꯄꯤꯟ: ꯆꯛꯔꯒꯤ ꯃꯅꯨꯡꯗ ꯆꯛꯔ ꯑꯃꯥ

TCS John Huxley ꯒꯤ ꯔꯤꯆꯔ ꯁ꯭ꯄꯤꯟ ꯑꯁꯤ 2021 ꯗ ꯒ꯭ꯂꯣꯕꯦꯜ ꯒꯦꯃꯤꯡ ꯑꯦꯛꯁꯄꯣꯗ ꯎꯠꯈꯤ ꯑꯃꯁꯨꯡ 2023 ꯐꯥꯑꯣꯕꯗ ꯂꯥꯁ ꯚꯦꯒꯥꯁꯀꯤ ꯑꯦꯜ ꯀꯣꯔꯇꯦꯖꯗ ꯁꯥꯟꯅꯔꯝꯃꯤ꯫ ꯁ꯭ꯇꯣꯞ 38 ꯂꯩꯕ ꯃꯅꯨꯡꯒꯤ ꯔꯤꯡ ꯑꯃꯅ ꯃꯁꯤꯡꯁꯤꯡꯒꯤ ꯑꯣꯟꯅꯕ ꯃꯥꯏꯀꯩꯗ ꯀꯣꯏ ꯑꯃꯁꯨꯡ ꯕꯣꯜ ꯂꯦꯞꯄꯒꯥ ꯂꯣꯌꯅꯅ ꯂꯦꯞꯏ꯫ ꯑꯦꯜ ꯀꯣꯔꯇꯦꯖꯗ ꯃꯁꯤꯗ ꯁꯅꯥꯒꯤ ꯁ꯭ꯇꯣꯞ 1, ꯂꯨꯄꯥꯒꯤ 9, ꯕ꯭ꯂꯨ 4, ꯃꯆꯨ ꯄꯥꯔꯄꯜ 4 ꯑꯃꯁꯨꯡ ꯑꯔꯥꯞꯄ 20 ꯂꯩꯔꯝꯃꯤ꯫ ꯕꯦꯠ ꯑꯁꯤ ꯃꯁꯤꯡ ꯑꯃꯗ ꯊꯝꯕꯅꯤ꯫ ꯕꯣꯜ ꯃꯐꯝ ꯑꯗꯨꯗ ꯂꯦꯞꯂꯕꯗ ꯃꯅꯨꯡꯒꯤ ꯁ꯭ꯇꯣꯞ ꯑꯗꯨꯅ ꯈꯨꯗꯣꯜ ꯂꯦꯞꯄꯤ: ꯁꯅꯥꯗ 299 ꯗꯒꯤ 1, ꯂꯨꯄꯥꯗ 99 ꯗꯒꯤ 1, ꯕ꯭ꯂꯨ ꯅꯠꯔꯒ ꯄꯥꯔꯄꯂꯗ 7 ꯗꯒꯤ 1, ꯑꯔꯥꯞꯄꯗ ꯀꯔꯤꯁꯨ ꯅꯥꯏꯗꯦ꯫ ꯕ꯭ꯂꯨ ꯅꯠꯔꯒ ꯄꯥꯔꯄꯂꯗ ꯊꯝꯂꯕ ꯇꯣꯉꯥꯟꯕ ꯕꯦꯠꯁꯤꯡꯅ ꯃꯁꯤꯡ ꯀꯔꯤꯒꯨꯝꯕ ꯑꯣꯏꯔꯕꯁꯨ 7 ꯗꯒꯤ 1 ꯄꯤ꯫

ꯅꯍꯥꯛꯀꯤ ꯃꯁꯤꯡꯗ ꯕꯣꯜ, ꯃꯅꯨꯡꯒꯤ ꯁ꯭ꯇꯣꯞꯈꯨꯗꯣꯡꯆꯥꯕꯄꯤꯕ
ꯁꯅꯥ1,444 ꯗ 1299 ꯗꯒꯤ 1
ꯂꯨꯄꯥ1,444 ꯗ 999 ꯗꯒꯤ 1
ꯕ꯭ꯂꯨ ꯅꯠꯔꯒ ꯄꯥꯔꯄꯜ1,444 ꯗ 87 ꯗꯒꯤ 1
ꯑꯔꯥꯞꯄ1,444 ꯗ 20ꯃꯥꯏꯊꯤꯕ
ꯕꯣꯜ ꯑꯇꯣꯞꯄ ꯃꯐꯝꯗ38 ꯗ 37ꯃꯥꯏꯊꯤꯕ
ꯑꯦꯜ ꯀꯣꯔꯇꯦꯖꯒꯤ ꯗꯕꯜ ꯖꯤꯔꯣ ꯂꯦꯑꯥꯎꯠ꯫ ꯄꯦꯌꯔ 1,444 ꯄꯨꯝꯅꯃꯛ ꯑꯩꯈꯣꯌꯅ ꯃꯁꯤꯡ ꯊꯤꯔꯕꯗ ꯃꯁꯤꯡ ꯕꯦꯠꯀꯤꯗꯃꯛ 12.47% ꯑꯃꯁꯨꯡ ꯕ꯭ꯂꯨ ꯅꯠꯔꯒ ꯄꯥꯔꯄꯂꯒꯤꯗꯃꯛ 15.79% ꯐꯪꯏ꯫
ꯕꯣꯜ ꯑꯗꯨ ꯃꯅꯨꯡꯒꯤ ꯔꯤꯡꯒꯤ ꯁꯅꯥꯒꯤ ꯁ꯭ꯇꯣꯞ ꯑꯃꯈꯛꯇꯒꯤ ꯃꯊꯛꯇ ꯂꯦꯞꯂꯤ, ꯃꯁꯤꯅ 299 ꯗꯒꯤ 1 ꯄꯤ꯫

ꯕꯣꯜ ꯃꯔꯤ, ꯃꯁꯤꯡ ꯑꯃꯥ: ꯂꯥꯏꯠꯅꯤꯡ ꯂꯟꯆ

ꯂꯥꯏꯠꯅꯤꯡ ꯂꯟꯆ ꯔꯨꯂꯦꯠ (ꯁꯥꯏꯟꯇꯤꯐꯤꯛ ꯒꯦꯃꯁ, 2018) ꯑꯁꯤ ꯗꯕꯜ ꯖꯤꯔꯣ ꯆꯛꯔ ꯑꯃꯗ ꯐꯝꯐꯝ ꯃꯔꯤ ꯑꯃꯁꯨꯡ ꯚꯔꯆꯨꯑꯦꯜ ꯕꯣꯜ ꯃꯔꯤ ꯂꯩꯕ ꯚꯤꯗꯤꯑꯣ ꯒꯦꯝ ꯑꯃꯅꯤ, ꯁꯥꯟꯅꯔꯤꯕ ꯑꯃꯗ ꯕꯣꯜ ꯑꯃꯥ꯫ $1 ꯒꯤ ꯕꯣꯅꯁ ꯕꯦꯠ ꯑꯁꯤ ꯃꯁꯤꯡ ꯑꯃꯗ ꯊꯝꯃꯤ ꯑꯃꯁꯨꯡ ꯕꯣꯜ ꯃꯔꯤ ꯄꯨꯝꯅꯃꯛꯇ ꯂꯣꯏꯁꯤꯜꯂꯤ: ꯕꯣꯜ ꯑꯃꯥ ꯃꯐꯝ ꯑꯗꯨꯗ ꯂꯦꯞꯂꯕꯗ 1 ꯊꯝꯂꯕꯗ 5, ꯑꯅꯤꯗ 1 ꯊꯝꯂꯕꯗ 75, ꯑꯍꯨꯃꯗ 1 ꯊꯝꯂꯕꯗ 1,000 ꯑꯃꯁꯨꯡ ꯃꯔꯤꯗ 1 ꯊꯝꯂꯕꯗ 10,000꯫ ꯕꯣꯅꯁ ꯕꯦꯠ ꯇꯔꯥꯗ ꯑꯃꯥ ꯃꯇꯧꯗ ꯀꯔꯤꯒꯨꯝꯕ ꯑꯃꯥ ꯃꯥꯏꯄꯥꯀꯏ, ꯍꯧꯖꯤꯛ ꯐꯥꯑꯣꯕ 1 ꯊꯝꯂꯕꯗ 5 ꯈꯛꯇꯅꯤ, ꯃꯁꯤ ꯃꯍꯧꯁꯥꯒꯤ ꯋꯥꯍꯩꯗ 4 ꯗꯒꯤ 1 ꯑꯣꯏ, ꯕꯣꯜ ꯑꯃꯈꯛꯇꯒꯤ ꯃꯁꯤꯡ ꯑꯗꯨꯃꯛꯇ 35 ꯗꯒꯤ 1 ꯒꯥ ꯆꯥꯡꯗꯝꯅꯕꯗ꯫ ꯍꯥꯎꯁ ꯑꯦꯖ 14.29% ꯑꯣꯏ꯫

ꯅꯍꯥꯛꯀꯤ ꯃꯁꯤꯡꯗ ꯂꯩꯕ ꯕꯣꯜꯊꯣꯛꯄꯒꯤ ꯈꯨꯗꯣꯡꯆꯥꯕꯄꯤꯕꯕ꯭ꯔꯦꯛ-ꯏꯚꯟ ꯑꯣꯏꯒꯗꯕ
19.72%1 ꯊꯝꯂꯕꯗ 51 ꯊꯝꯂꯕꯗ 10.3
20.39%1 ꯊꯝꯂꯕꯗ 751 ꯊꯝꯂꯕꯗ 254
30.0071%1 ꯊꯝꯂꯕꯗ 1,0001 ꯊꯝꯂꯕꯗ 14,089
40.000048%1 ꯊꯝꯂꯕꯗ 10,0001 ꯊꯝꯂꯕꯗ 2,085,136
ꯕꯣꯜ ꯈꯨꯗꯤꯡꯃꯛ ꯅꯍꯥꯛꯀꯤ ꯃꯁꯤꯡꯗ ꯂꯦꯞꯄꯒꯤ ꯈꯨꯗꯣꯡꯆꯥꯕ 1/38 ꯅꯤ꯫ ꯑꯔꯣꯏꯕ ꯀꯂꯝ ꯑꯁꯤ ꯂꯥꯏꯟ ꯑꯗꯨ ꯈꯛꯇꯅ ꯊꯝꯂꯕ ꯁꯦꯜꯗꯒꯤ ꯃꯁꯥꯒꯤ ꯁꯔꯨꯛ ꯍꯜꯂꯛꯀꯗꯕ ꯄꯦꯑꯥꯎꯠꯅꯤ꯫

ꯁ꯭ꯞꯔꯦꯗ-ꯕꯦꯠ: ꯄꯨꯟꯁꯤꯜꯂꯕ ꯔꯤꯡ ꯑꯅꯤ

ꯕ꯭ꯔꯤꯇꯤꯁ ꯆꯛꯔ ꯁꯦꯝꯕ Cammegh ꯒꯤ ꯁ꯭ꯞꯔꯦꯗ-ꯕꯦꯠ ꯔꯨꯂꯦꯠꯅ ꯇꯦꯕꯜꯒꯤ ꯗꯤꯁ꯭ꯞꯂꯦꯗ ꯃꯁꯤꯡꯒꯤ ꯔꯤꯡ ꯑꯅꯤ ꯎꯠꯂꯤ, ꯃꯈꯣꯌ ꯈꯨꯗꯤꯡꯃꯛꯇ ꯆꯛꯔꯒꯤ ꯃꯁꯤꯡ ꯈꯨꯗꯤꯡꯃꯛ ꯑꯃꯨꯛ ꯂꯩ꯫ ꯃꯈꯣꯌ ꯑꯣꯟꯅꯕ ꯃꯥꯏꯀꯩꯗ ꯀꯣꯏ ꯑꯃꯁꯨꯡ ꯗꯤꯂꯔꯅ ꯕꯦꯠ ꯊꯤꯡꯂꯕꯗ ꯂꯦꯞꯏ; RNG ꯑꯃꯠꯇ ꯁꯤꯖꯤꯟꯅꯗꯦ ꯍꯥꯌꯅ Cammegh ꯅ ꯍꯥꯌ꯫ ꯃꯈꯣꯌꯅ ꯎꯠꯂꯤꯕ ꯃꯁꯤꯡ ꯑꯅꯤ ꯄꯨꯟꯁꯤꯜꯂꯤ, 0 ꯗꯒꯤ 72 ꯐꯥꯑꯣꯕ ꯄꯨꯟꯁꯤꯟꯕ ꯃꯁꯤꯡ ꯑꯃꯥ ꯄꯤ, 00 ꯕꯨ 0 ꯑꯣꯏꯅ ꯂꯧ꯫ ꯂꯦꯑꯥꯎꯠꯈꯨꯠꯂꯥꯏꯂꯦꯑꯥꯎꯠꯇꯦꯕꯜꯗ ꯏꯔꯕ ꯕꯦꯠ ꯊꯝꯕꯒꯤ ꯒ꯭ꯔꯤꯗ꯫ ꯑꯇꯣꯞꯄ ꯃꯃꯤꯡ: ꯇꯦꯕꯜ, ꯐꯦꯜꯠ, ꯀ꯭ꯂꯣꯊ꯫ꯃꯄꯨꯡ ꯄꯥꯕꯤꯌꯨ → ꯑꯗꯨꯗ ꯂꯩꯕ ꯕꯦꯠ ꯇꯔꯦꯠ ꯈꯨꯗꯤꯡꯃꯛꯅ ꯄꯨꯟꯁꯤꯟꯕ ꯃꯁꯤꯡꯒꯤ ꯔꯦꯟꯖ ꯑꯃꯥ ꯀꯧꯔ ꯇꯧꯏ꯫ ꯗꯥꯏꯁ ꯑꯅꯤꯒꯤ ꯃꯑꯣꯡꯗꯨꯃꯛ, ꯃꯔꯛꯀꯤ ꯄꯨꯟꯁꯤꯟꯕꯁꯤꯡ ꯈ꯭ꯕꯥꯏꯗꯒꯤ ꯌꯥꯝꯅꯥ ꯊꯣꯀꯏ: ꯁꯤꯡꯒꯜ ꯖꯤꯔꯣ ꯆꯛꯔꯗ ꯄꯨꯟꯁꯤꯟꯕ 36 ꯑꯁꯤ ꯃꯑꯣꯡ 37 ꯅ ꯁꯦꯝꯕ ꯌꯥꯏ, 0 ꯑꯃꯁꯨꯡ 72 ꯗꯤ ꯃꯑꯣꯡ ꯑꯃꯈꯛꯇꯅ꯫ ꯀꯦꯁꯤꯅꯣꯅ ꯁꯤꯡꯒꯜ ꯖꯤꯔꯣ ꯆꯛꯔꯒꯤꯗꯃꯛ ꯄꯦꯑꯥꯎꯠ ꯇꯦꯕꯜ ꯃꯔꯤꯒꯤ ꯃꯅꯨꯡꯗꯒꯤ ꯑꯃꯥ ꯅꯠꯔꯒ ꯗꯕꯜ ꯖꯤꯔꯣ ꯆꯛꯔꯒꯤꯗꯃꯛ ꯃꯉꯥꯒꯤ ꯃꯅꯨꯡꯗꯒꯤ ꯑꯃꯥ ꯈꯅꯕꯤ; ꯅ꯭ꯌꯨ ꯖꯔꯁꯤꯅ 2017 ꯗ ꯃꯥꯄꯟ ꯄꯨꯝꯅꯃꯛ ꯌꯥꯕꯤꯈꯤ꯫ ꯁꯤꯡꯒꯜ ꯖꯤꯔꯣ ꯆꯛꯔꯗ ꯕꯦꯠ ꯈꯨꯗꯤꯡꯃꯛꯅ 8.69% ꯗꯒꯤ 12.34% ꯐꯥꯑꯣ ꯆꯪꯏ, ꯃꯔꯨꯑꯣꯏꯕ ꯒꯦꯃꯗꯒꯤ ꯑꯃꯨꯛ ꯑꯍꯨꯃꯗꯒꯤ ꯃꯔꯤ ꯁꯨꯔꯛ ꯐꯥꯑꯣ꯫

ꯄꯨꯟꯁꯤꯟꯕꯃꯑꯣꯡ (1,369 ꯒꯤ ꯃꯅꯨꯡꯗ)ꯄꯤꯕꯍꯥꯎꯁ ꯑꯦꯖ
011,200 ꯗꯒꯤ 112.27%
1–117715 ꯗꯒꯤ 110.01%
12–1811210 ꯗꯒꯤ 110.01%
19–396181 ꯗꯒꯤ 19.72%
40–503083 ꯗꯒꯤ 110.01%
51–702504 ꯗꯒꯤ 18.69%
71–723400 ꯗꯒꯤ 112.13%
ꯅ꯭ꯌꯨ ꯖꯔꯁꯤꯒꯤ ꯅꯤꯌꯝꯁꯤꯡꯗ (N.J.A.C. 13:69F-5.2, 2017) ꯂꯩꯕ ꯁꯤꯡꯒꯜ ꯖꯤꯔꯣ ꯄꯦꯑꯥꯎꯠ ꯇꯦꯕꯜ ꯃꯔꯤꯒꯤ ꯑꯍꯥꯅꯕ; ꯐꯣꯡꯗꯣꯛꯂꯕ ꯇꯦꯕꯜ ꯑꯃꯅꯁꯨ ꯃꯗꯨꯃꯛ ꯄꯤ꯫ ꯃꯑꯣꯡꯁꯤꯡ ꯑꯃꯁꯨꯡ ꯍꯥꯎꯁ ꯑꯦꯖꯁꯤꯡ ꯑꯩꯈꯣꯌꯅ ꯊꯤꯔꯕꯅꯤ꯫ ꯗꯕꯜ ꯖꯤꯔꯣ ꯆꯛꯔꯗ ꯌꯥꯕꯤꯔꯕ ꯇꯦꯕꯜ ꯃꯉꯥꯒꯤ ꯕꯦꯠꯁꯤꯡ 8.31% ꯗꯒꯤ 16.69% ꯐꯥꯑꯣ ꯂꯩ꯫ ꯐꯣꯡꯗꯣꯛꯂꯕ ꯇꯦꯕꯜ ꯑꯃꯅ ꯑꯍꯥꯅꯕ ꯗꯕꯜ ꯖꯤꯔꯣ ꯇꯦꯕꯜ ꯑꯗꯨ 40–50 ꯑꯃꯁꯨꯡ 51–71 ꯔꯦꯟꯖꯒꯥ ꯂꯣꯌꯅꯅ ꯏꯔꯝꯃꯤ, ꯃꯁꯤꯅ ꯑꯅꯤꯁꯨꯕꯗ ꯁꯥꯟꯅꯔꯤꯕꯗ 92% ꯒꯤ ꯑꯦꯖ ꯄꯤꯒꯅꯤ; ꯅ꯭ꯌꯨ ꯖꯔꯁꯤꯒꯤ ꯅꯤꯌꯝꯁꯤꯡꯗ 40–57 ꯑꯃꯁꯨꯡ 58–71 ꯂꯩ꯫

ꯂꯀꯤ ꯁꯤꯝꯕꯣꯂꯁ: ꯗꯤꯁ꯭ꯞꯂꯦꯗ ꯔꯤꯜ ꯑꯃꯥ

Cammegh ꯒꯤ ꯑꯇꯣꯞꯄ ꯁꯥꯏꯗ ꯕꯦꯠ ꯑꯃꯥ ꯑꯣꯏꯔꯤꯕ ꯂꯀꯤ ꯁꯤꯝꯕꯣꯂꯁꯅ ꯂꯦꯑꯥꯎꯠꯇ ꯁꯤꯝꯕꯣꯜ ꯕꯀꯁ ꯇꯔꯦꯠ ꯍꯥꯄꯆꯤꯜꯂꯤ꯫ ꯁ꯭ꯄꯤꯟ ꯈꯨꯗꯤꯡꯗ ꯇꯦꯕꯜꯒꯤ ꯗꯤꯁ꯭ꯞꯂꯦꯗ ꯂꯩꯕ ꯁ꯭ꯂꯣꯠ ꯃꯦꯁꯤꯟꯒꯤ ꯔꯤꯜ ꯑꯃꯅ ꯁꯤꯝꯕꯣꯜ ꯑꯃꯗ ꯂꯦꯞꯏ, ꯑꯃꯁꯨꯡ ꯃꯗꯨꯗ ꯊꯝꯂꯕ ꯕꯦꯠꯁꯤꯡꯗ ꯄꯦꯑꯥꯎꯠ ꯄꯤ; ꯁꯤꯝꯕꯣꯜ ꯑꯗꯨ ꯕꯣꯜ ꯑꯃꯁꯨꯡ ꯆꯛꯔꯒꯤ ꯌꯥꯡꯅꯕꯅ ꯂꯦꯞꯄꯤ ꯍꯥꯌꯅ ꯒꯦꯝ ꯑꯗꯨꯒꯤ ꯂꯥꯏꯔꯤꯛꯅ ꯍꯥꯌ꯫ ꯀꯦꯁꯤꯅꯣꯅ ꯈꯨꯗꯣꯡꯆꯥꯕ ꯑꯃꯁꯨꯡ ꯄꯦꯑꯥꯎꯠ ꯑꯅꯤꯃꯛ ꯈꯅꯕꯤ, ꯑꯃꯁꯨꯡ Cammegh ꯅ ꯃꯈꯣꯌ ꯁꯦꯃꯗꯣꯛꯅꯕ ꯈꯨꯠꯂꯥꯏ ꯑꯃꯒꯥ ꯂꯣꯌꯅꯅ ꯕꯦꯠ ꯑꯁꯤ ꯌꯣꯜꯂꯤ꯫ 2014 ꯗ ꯂꯟꯗꯟꯒꯤ ꯀꯦꯁꯤꯅꯣ ꯑꯦꯠ ꯗ ꯑꯦꯝꯄꯥꯌꯔꯗ ꯑꯃꯁꯨꯡ ꯈꯥ ꯑꯐ꯭ꯔꯤꯀꯥꯒꯤ ꯃꯣꯟꯇꯦꯀꯦꯁꯤꯅꯣꯗ ꯏꯔꯝ ꯊꯝꯂꯕ ꯄꯦꯑꯥꯎꯠ ꯇꯦꯕꯜ ꯑꯃꯅ ꯃꯇꯝꯒꯤ ꯌꯥꯝꯅꯥ ꯌꯥꯝꯅꯥ ꯁꯔꯨꯛ ꯑꯍꯦꯟꯕꯗ ꯊꯣꯀꯄ ꯄ꯭ꯔꯣꯁꯄꯦꯔꯤꯇꯤꯗ ꯆꯞ ꯃꯥꯟꯅꯕ ꯄꯦꯑꯥꯎꯠꯇꯒꯤ ꯗ꯭ꯔꯦꯒꯟ ꯑꯃꯁꯨꯡ ꯇꯥꯏꯒꯔꯗ 80 ꯗꯒꯤ 1 ꯐꯥꯑꯣ ꯂꯩꯔꯝꯃꯤ꯫ ꯂꯥꯏꯟ ꯈꯨꯗꯤꯡꯃꯛꯅ 10% ꯗꯒꯤ ꯍꯦꯟꯅ ꯆꯪꯈꯤ, ꯃꯅꯥꯛꯇ ꯂꯩꯕ ꯗꯕꯜ ꯖꯤꯔꯣ ꯆꯛꯔꯒꯤ 5.26% ꯒꯤ ꯑꯃꯨꯛ ꯑꯅꯤ꯫

ꯁꯤꯝꯕꯣꯜꯈꯨꯗꯣꯡꯆꯥꯕꯄꯤꯕꯍꯥꯎꯁ ꯑꯦꯖ
ꯄ꯭ꯔꯣꯁꯄꯦꯔꯤꯇꯤ44.92%1 ꯗꯒꯤ 110.16%
ꯂꯥꯟꯇꯔꯟ, ꯌꯤꯟ ꯌꯥꯡꯑꯃꯃꯃꯛ 21.90%3 ꯗꯒꯤ 112.40%
ꯀꯣꯏꯟ, ꯉꯥꯑꯃꯃꯃꯛ 4.54%18 ꯗꯒꯤ 113.72%
ꯗ꯭ꯔꯦꯒꯟ, ꯇꯥꯏꯒꯔꯑꯃꯃꯃꯛ 1.10%80 ꯗꯒꯤ 111.01%
ꯐꯣꯡꯗꯣꯛꯂꯕ ꯈꯨꯗꯣꯡꯆꯥꯕ ꯑꯃꯁꯨꯡ ꯍꯥꯎꯁ ꯑꯦꯖꯁꯤꯡ꯫ ꯁꯦꯝꯕꯥ ꯃꯤꯑꯣꯏꯅ ꯈꯨꯗꯣꯡꯆꯥꯕꯁꯤꯡ ꯐꯣꯡꯗꯣꯀꯄ ꯅꯥꯏꯗꯦ ꯑꯃꯁꯨꯡ ꯀꯦꯁꯤꯅꯣ ꯑꯃꯅ ꯃꯈꯣꯌ ꯍꯣꯡꯗꯣꯀꯄ ꯌꯥꯏ, ꯃꯔꯝ ꯑꯗꯨꯅ ꯅꯤꯌꯝꯁꯤꯡꯗꯒꯤ ꯃꯈꯣꯌ ꯌꯦꯡꯁꯤꯟꯕ ꯌꯥꯗꯦ꯫

ꯕꯦꯠꯁꯤꯡ ꯑꯁꯤꯅ ꯀꯔꯤ ꯎꯠꯂꯤꯕꯅꯣ

ꯃꯈꯣꯌ ꯄꯨꯝꯅꯃꯛꯀꯤ ꯃꯃꯜ ꯊꯤꯕꯒꯤ ꯃꯑꯣꯡ ꯑꯃꯥ: ꯃꯍꯩꯁꯤꯡ ꯂꯤꯁ꯭ꯠ ꯇꯧꯕꯤꯌꯨ, ꯄꯦꯑꯥꯎꯠ ꯈꯨꯗꯤꯡꯃꯛ ꯃꯁꯥꯒꯤ ꯈꯨꯗꯣꯡꯆꯥꯕꯅ ꯃꯅꯥꯡ ꯇꯧꯕꯤꯌꯨ, ꯄꯨꯟꯁꯤꯟꯕꯤꯌꯨ꯫

  • ꯑꯅꯤꯁꯨꯕ ꯔꯦꯟꯗꯝ ꯈꯨꯠꯂꯥꯏ ꯑꯃꯅ, ꯃꯅꯨꯡꯒꯤ ꯆꯛꯔ ꯅꯠꯔꯒ ꯗꯥꯏꯁꯅ, ꯈꯨꯗꯣꯜ ꯍꯥꯄꯆꯤꯜꯂꯤ ꯑꯗꯨꯕꯨ ꯆꯨꯝꯃꯤꯟꯅꯕ ꯍꯥꯄꯆꯤꯜꯂꯗꯦ: ꯃꯃꯜ ꯑꯗꯨ ꯍꯧꯖꯤꯀꯁꯨ ꯄꯦꯑꯥꯎꯠꯀꯤ ꯃꯥꯌꯣꯛꯇ ꯃꯍꯩꯁꯤꯡ ꯃꯁꯤꯡ ꯊꯤꯕꯅꯤ꯫
  • ꯕꯦꯠ ꯑꯗꯨꯃꯛꯅ ꯃꯃꯜ ꯇꯣꯉꯥꯟꯕ ꯄꯦꯑꯥꯎꯠ ꯇꯦꯕꯜ ꯀꯌꯥ ꯄꯨꯕ ꯌꯥꯏ꯫ ꯂꯀꯤ ꯕꯣꯜꯗ ꯑꯉꯥꯡꯕ ꯑꯁꯤ ꯈ꯭ꯕꯥꯏꯗꯒꯤ ꯌꯣꯝꯕ ꯂꯥꯏꯟꯅꯤ꯫
  • ꯑꯃꯨꯛ ꯍꯟꯅꯥ ꯂꯧꯊꯣꯛꯇꯅ ꯂꯧꯊꯣꯀꯄꯅ ꯑꯣꯗꯁ ꯍꯣꯡꯗꯣꯀꯏ: ꯑꯃꯨꯛ ꯍꯟꯅꯥ ꯂꯧꯊꯣꯀꯄ ꯌꯥꯔꯕꯗꯒꯤ ꯕ꯭ꯂꯦꯖꯤꯡ 7ꯁꯅ ꯑꯃꯨꯛ ꯑꯅꯤ ꯆꯪꯏ꯫

ꯋꯥꯍꯪꯁꯤꯡ

ꯃꯈꯣꯌꯒꯤ ꯃꯅꯨꯡꯗ ꯀꯅꯥꯅꯣ ꯈ꯭ꯕꯥꯏꯗꯒꯤ ꯌꯣꯝꯕ?

3.89% ꯑꯣꯏꯕ ꯐ꯭ꯂꯥꯁ ꯔꯨꯂꯦꯠ, ꯃꯇꯨꯡꯗ 4.05% ꯑꯣꯏꯕ ꯑꯉꯥꯡꯕꯗ ꯂꯀꯤ ꯕꯣꯜ꯫ ꯑꯅꯤꯃꯛꯅ ꯍꯧꯖꯤꯀꯁꯨ ꯆꯛꯔ ꯑꯗꯨꯃꯛꯇ ꯃꯍꯧꯁꯥꯒꯤ ꯕꯦꯠ ꯑꯃꯗꯒꯤ ꯍꯦꯟꯅ ꯆꯪꯏ꯫

ꯃꯈꯣꯌ ꯍꯧꯖꯤꯀꯁꯨ ꯁꯥꯟꯅꯔꯤꯕꯔꯥ?

ꯔꯤꯆꯔ ꯁ꯭ꯄꯤꯟ ꯑꯁꯤ TCS John Huxley ꯒꯤ ꯍꯧꯖꯤꯛꯀꯤ ꯄ꯭ꯔꯣꯗꯛꯠ ꯑꯃꯅꯤ, ꯑꯃꯁꯨꯡ ꯑꯅꯧꯕ ꯂꯀꯤ ꯕꯣꯜ ꯑꯃꯥ ꯋꯥꯁꯤꯡꯇꯟ ꯁ꯭ꯇꯦꯠꯀꯤꯗꯃꯛ ꯏꯟꯇꯔꯕ꯭ꯂꯣꯛꯀꯤ 2024 ꯒꯤ ꯅꯤꯌꯝꯁꯤꯡꯗ ꯂꯩ꯫ ꯁ꯭ꯞꯔꯦꯗ-ꯕꯦꯠ ꯑꯃꯁꯨꯡ ꯂꯀꯤ ꯁꯤꯝꯕꯣꯂꯁ ꯑꯁꯤ Cammegh ꯒꯤ ꯍꯧꯖꯤꯛꯀꯤ ꯄ꯭ꯔꯣꯗꯛꯇꯁꯤꯡꯅꯤ꯫ ꯑꯇꯣꯞꯄꯁꯤꯡ ꯑꯗꯨ ꯃꯈꯣꯌ ꯈꯨꯗꯤꯡꯃꯛ ꯀꯦꯁꯤꯅꯣ ꯑꯃꯥ ꯅꯠꯔꯒ ꯑꯅꯤꯗ ꯈꯛꯇꯃꯛ ꯎꯈꯤ, ꯃꯔꯝ ꯑꯗꯨꯅ ꯃꯈꯣꯌꯒꯤꯗꯃꯛ ꯆꯠꯠꯔꯤꯉꯩꯗ ꯃꯃꯥꯡꯗ ꯌꯦꯡꯁꯤꯅꯕꯤꯌꯨ꯫

ꯃꯁꯤꯡꯁꯤꯡ ꯑꯁꯤ ꯀꯗꯥꯏꯗꯒꯤ ꯂꯥꯀꯄꯅꯣ?

ꯅꯤꯌꯝꯁꯤꯡ ꯑꯃꯁꯨꯡ ꯄꯦꯑꯥꯎꯠ ꯇꯦꯕꯜꯁꯤꯡ Bollman (2021) ꯑꯃꯁꯨꯡ ꯐꯣꯡꯗꯣꯛꯂꯕ ꯔꯤꯄꯣꯔꯇꯁꯤꯡꯗꯒꯤꯅꯤ꯫ ꯂꯃꯥꯏ ꯑꯁꯤꯗ ꯂꯩꯕ ꯍꯥꯎꯁ ꯑꯦꯖ ꯈꯨꯗꯤꯡꯃꯛ ꯇꯦꯕꯜ ꯑꯗꯨꯁꯤꯡꯗꯒꯤ ꯊꯤꯖꯤꯜꯂꯕꯅꯤ꯫

ꯃꯦꯊꯃꯦꯇꯤꯛꯁꯀꯥ ꯁꯥꯟꯅꯕ

ꯃꯁꯤꯁꯤꯡ ꯑꯍꯥꯅꯕꯗ ꯅꯍꯥꯛ ꯃꯁꯥꯃꯛꯅ ꯍꯣꯠꯅꯕꯤꯌꯨ꯫ ꯄꯥꯎꯈꯨꯝ ꯈꯨꯗꯤꯡꯃꯛ ꯊꯨꯡꯗꯨꯅ ꯊꯝꯂꯤ; ꯁꯦꯝ ꯁꯥꯔꯕ ꯃꯇꯃꯗ ꯍꯥꯡꯗꯣꯛꯄꯤꯌꯨ꯫

  1. ꯂꯛꯀꯤ ꯕꯣꯜ (Lucky Ball) ꯕꯦꯠ ꯑꯃꯥ ꯃꯆꯨ ꯑꯃꯗ ꯊꯝꯂꯕꯗꯤ, ꯃꯆꯨ ꯑꯗꯨꯒꯤꯗꯃꯛ ꯂꯧꯊꯣꯀꯈꯤꯕ ꯃꯁꯤꯡ ꯑꯗꯨ ꯁ꯭ꯄꯤꯟꯗ ꯊꯣꯀꯄꯗ A ꯗꯒꯤ 1 ꯄꯤꯔꯤ, ꯃꯆꯨ ꯑꯗꯨ ꯕꯣꯅꯁꯀꯤꯗꯃꯛꯁꯨ ꯈꯅꯈꯤꯔꯕꯗꯤ B ꯗꯒꯤ 1 ꯄꯤꯔꯤ; ꯃꯁꯤ ꯑꯃꯨꯛ ꯃꯔꯤꯗ ꯑꯃꯨꯛ ꯊꯣꯛꯏ꯫ ꯑꯦꯖ ꯑꯁꯤ (144 − 3A − B)/148 ꯑꯣꯏꯕ ꯎꯠꯄꯤꯌꯨ, ꯑꯃꯁꯨꯡ 6 ꯑꯃꯁꯨꯡ 120 ꯗꯒꯤ 1 ꯄꯤꯕ ꯑꯉꯥꯡꯕꯕꯦꯠꯑꯉꯥꯡꯕꯑꯉꯥꯡꯕ ꯃꯁꯤꯡ 18 ꯗ ꯊꯝꯕ ꯆꯞ ꯃꯥꯟꯅꯕ ꯕꯦꯠ꯫ ꯐ꯭ꯔꯦꯟꯆ: ꯔꯨꯖ꯫ꯃꯄꯨꯡ ꯄꯥꯕꯤꯌꯨ → ꯒꯤ ꯃꯃꯜ ꯊꯤꯕꯤꯌꯨ꯫

    ꯄꯥꯎꯈꯨꯝ ꯎꯠꯄ

    ꯄꯥꯎꯈꯨꯝ ꯑꯉꯥꯡꯕꯅ 6/148 = 4.05% ꯆꯪꯏ꯫

    ꯃꯆꯨ ꯑꯗꯨꯒꯤ ꯃꯁꯤꯡ ꯑꯗꯨ ꯁ꯭ꯄꯤꯟ 37 ꯗ ꯑꯃꯨꯛ ꯊꯣꯛꯏ꯫ ꯊꯣꯀꯄꯥ ꯃꯇꯃꯗ, ꯑꯃꯨꯛ ꯃꯔꯤꯗ ꯑꯃꯨꯛ ꯑꯍꯨꯝ ꯕꯦꯠ ꯑꯗꯨꯅ A ꯄꯤꯔꯤ ꯑꯃꯁꯨꯡ ꯑꯃꯨꯛ ꯃꯔꯤꯗ ꯑꯃꯨꯛ B ꯄꯤꯔꯤ, ꯑꯦꯚꯔꯦꯖꯗ (3A + B)/4꯫ ꯁ꯭ꯄꯤꯟ 37 ꯒꯤ ꯃꯅꯨꯡꯗ ꯑꯇꯣꯞꯄ 36 ꯗ ꯊꯝꯂꯕ ꯁꯦꯜ ꯃꯥꯡꯏ꯫

    ꯃꯔꯝ ꯑꯗꯨꯅ ꯐꯪꯒꯗꯕ ꯃꯃꯜꯃꯦꯊꯃꯦꯇꯤꯛꯁꯐꯪꯒꯗꯕ ꯃꯃꯜꯃꯇꯝ ꯁꯥꯡꯅ ꯌꯦꯡꯂꯕꯗ ꯕꯦꯠ ꯑꯃꯒꯤ ꯑꯦꯚꯔꯦꯖ ꯃꯍꯩ꯫ ꯃꯔꯨꯑꯣꯏꯕ ꯌꯨꯔꯣꯄꯤꯌꯟ ꯕꯦꯠ ꯈꯨꯗꯤꯡꯗ ꯊꯝꯂꯕ ꯁꯦꯜꯒꯤ −1/37꯫ꯃꯄꯨꯡ ꯄꯥꯕꯤꯌꯨ → ꯑꯁꯤ (1/37) × (3A + B)/4 − 36/37 = (3A + B − 144)/148 ꯑꯣꯏ꯫

    ꯑꯉꯥꯡꯕ: 3 × 6 + 120 = 138, ꯃꯔꯝ ꯑꯗꯨꯅ −6/148 = 4.05%꯫ ꯑꯁꯪꯕ, 12 ꯑꯃꯁꯨꯡ 100: 136, 5.41%꯫ ꯑꯍꯨꯕ, 20 ꯑꯃꯁꯨꯡ 75, ꯑꯃꯁꯨꯡ ꯍꯥꯡꯒꯝꯕ, 25 ꯑꯃꯁꯨꯡ 60: ꯑꯅꯤꯃꯛ 135, 6.08%꯫ 3A + B ꯅ 144 ꯊꯨꯡꯂꯕꯗꯈꯛ ꯕꯦꯠ ꯑꯗꯨ ꯕ꯭ꯔꯦꯛ-ꯏꯚꯟ ꯑꯣꯏꯒꯅꯤ꯫

ꯅꯣꯛꯅꯕꯒꯤ ꯀꯃꯤꯛ

ꯗꯥꯏꯁ, ꯀꯥꯔꯗ ꯅꯠꯔꯒ ꯑꯅꯤꯁꯨꯕ ꯕꯣꯜ: ꯃꯃꯜ ꯑꯗꯨ ꯍꯧꯖꯤꯀꯁꯨ ꯃꯁꯤꯡ ꯊꯤꯕꯅꯤ꯫

ꯗꯥꯏꯁ, ꯀꯥꯔꯗ ꯅꯠꯔꯒ ꯑꯅꯤꯁꯨꯕ ꯕꯣꯜ: ꯃꯃꯜ ꯑꯗꯨ ꯍꯧꯖꯤꯀꯁꯨ ꯃꯁꯤꯡ ꯊꯤꯕꯅꯤ꯫

ꯍꯧꯔꯛꯐꯃꯁꯤꯡ

  1. Bollman, M. Mathematics of the Big Four Casino Table Games: Blackjack, Baccarat, Craps, & Roulette. CRC Press, 2021꯫ ꯆꯦꯞꯇꯔ 2, ꯔꯨꯂꯦꯠ꯫
  2. Interblock. “Roulette Game & Special Bets: Description”, version 1.2.1. ꯋꯥꯁꯤꯡꯇꯟ ꯁ꯭ꯇꯦꯠ ꯒꯦꯝꯕ꯭ꯂꯤꯡ ꯀꯃꯤꯁꯟꯗ ꯊꯥꯖꯤꯜꯂꯕ, 2024꯫
  3. Wizard of Odds. “Neighborhoods”, “Richer Spin”, “Back2Back”, “Blazing 7s”, “Straights and 8’s” and “Lucky Colour Chips”. ꯔꯨꯂꯦꯠꯀꯤ ꯁꯥꯏꯗ ꯕꯦꯠꯁꯤꯡ; ꯑꯣꯒꯁ꯭ꯠ 3, 2026 ꯗ ꯑꯅꯧꯕ ꯁꯦꯃꯈꯤ꯫
  4. TCS John Huxley. “Richer Spin Roulette.” ꯄ꯭ꯔꯣꯗꯛꯠ ꯂꯃꯥꯏ ꯑꯃꯁꯨꯡ ꯅꯤꯌꯝꯒꯤ ꯆꯦ, 2023꯫
  5. Wizard of Odds. “Spread-Bet Roulette” and “Lucky Symbols Roulette”. ꯅꯤꯌꯝꯁꯤꯡ ꯑꯃꯁꯨꯡ ꯄꯦꯑꯥꯎꯠ ꯇꯦꯕꯜꯁꯤꯡ; ꯑꯣꯒꯁ꯭ꯠ 3, 2026 ꯗ ꯑꯅꯧꯕ ꯁꯦꯃꯈꯤ꯫
  6. New Jersey Division of Gaming Enforcement. N.J.A.C. 13:69F-5.1 to 5.4, “Spread-Bet Roulette”. ꯅꯤꯌꯝꯁꯤꯡ ꯑꯃꯁꯨꯡ ꯄꯦꯑꯥꯎꯠ ꯇꯦꯕꯜꯁꯤꯡ, ꯐꯦꯕ꯭ꯔꯨꯋꯥꯔꯤ 2017꯫
  7. Cammegh. “Spread-Bet Roulette” and “Lucky Symbols”. ꯄ꯭ꯔꯣꯗꯛꯠ ꯂꯃꯥꯏꯁꯤꯡ꯫
ꯌꯦꯡꯁꯤꯅꯈꯤꯕ 2026-09-28ꯃꯣꯗꯦꯜ: ꯌꯨꯔꯣꯄꯤꯌꯟ, ꯁꯤꯡꯒꯜ ꯖꯤꯔꯣꯃꯦꯊꯗꯣꯂꯣꯖꯤ ↗ꯍꯧꯔꯛꯐꯃꯁꯤꯡ ↗