ᱥᱟᱨᱮᱡ ᱮᱞ ᱨᱮᱭᱟᱜ 2/3 ᱟᱱᱫᱟᱡ ᱢᱮ

ᱢᱤᱫ ᱮᱞ ᱵᱟᱪᱷᱟᱣ ᱢᱮ᱾ ᱱᱤᱛᱤᱭᱟᱜ ᱥᱟᱱᱟᱢ ᱟᱹᱲᱟᱹᱠᱚᱣᱟᱜ ᱥᱟᱨᱮᱡ ᱮᱞ ᱨᱮᱭᱟᱜ 2/3 ᱥᱟᱶ ᱡᱟᱦᱟᱸᱭ ᱥᱟᱱᱟᱢ ᱠᱷᱟᱴᱚ ᱛᱟᱞᱟᱱᱟ, ᱚᱱᱟᱭ ᱡᱤᱛᱟᱹᱣᱟ᱾ ᱥᱟᱹᱥᱟᱹ, ᱵᱮ-ᱥᱟᱭᱤᱱ ᱚᱞᱚᱜᱟᱜ᱾

Helibrain ᱫᱚᱞ ᱦᱚᱛᱮᱛᱮRobert(ᱤᱝᱞᱤᱥ), ᱵᱟᱭᱚᱯᱷᱤᱡᱤᱠᱥ ᱯᱤᱮᱪᱰᱤ ᱠᱟᱹᱢᱤᱭᱟᱹ ᱦᱚᱛᱮᱛᱮ ᱧᱮᱞ ᱛᱟᱦᱮᱱᱟᱥᱟᱠᱟᱢ ᱟᱹᱛᱩᱨ ᱦᱩᱭᱮᱱᱟ ᱢᱩᱪᱟᱹᱫ ᱧᱮᱞ ᱛᱟᱦᱮᱱᱟ

ᱟᱢᱟᱜ ᱚᱨᱡᱚᱢ ᱪᱮᱫ ᱞᱮᱠᱟ ᱯᱟᱲᱦᱟᱣᱟ

  • ᱟᱢᱟᱜ ᱛᱷᱟᱱ ᱩᱫᱩᱜᱟᱜᱼᱟ ᱡᱮ ᱟᱢ ᱚᱠᱟ ᱛᱟᱞᱟᱱᱟᱜ ᱟᱜᱩ ᱪᱤᱱᱛᱟᱹ ᱞᱮᱫᱟᱢ᱾ 50 ᱥᱟᱶ ᱡᱚᱢᱟᱜ ᱟᱱᱫᱟᱡ ᱛᱷᱟᱱ 0: ᱮᱴᱟᱜ ᱦᱚᱲ ᱵᱟᱵᱚᱛ ᱵᱟᱝ ᱪᱤᱱᱛᱟᱹᱣ ᱞᱮᱫᱟ᱾ 33 ᱥᱟᱶ ᱡᱚᱢᱟᱜ ᱛᱷᱟᱱ 1: “ᱦᱚᱲᱠᱚ 50 ᱨᱮ ᱟᱱᱫᱟᱡ ᱠᱚᱣᱟ”᱾ 22 ᱥᱟᱶ ᱡᱚᱢᱟᱜ ᱛᱷᱟᱱ 2: “ᱦᱚᱲᱠᱚ ᱢᱤᱫ ᱛᱷᱟᱱ ᱟᱜᱩ ᱪᱤᱱᱛᱟᱹᱭᱟ”᱾ ᱯᱟᱹᱪᱷᱞᱟ ᱛᱷᱟᱱ ᱠᱷᱚᱱ ᱥᱟᱱᱟᱢ ᱛᱷᱟᱱ 2/3 ᱜᱮ [1]᱾
  • ᱠᱷᱮᱞ ᱛᱚᱨᱠ ᱨᱮᱭᱟᱜ ᱡᱚᱵᱟᱵ 0 ᱠᱟᱱᱟ᱾ ᱡᱩᱫᱤ ᱥᱟᱱᱟᱢ ᱦᱚᱲ ᱯᱩᱨᱟᱹ ᱛᱚᱨᱠ ᱛᱮ ᱪᱤᱱᱛᱟᱹᱣᱟᱜ ᱠᱷᱟᱱ, ᱡᱚᱛᱚ ᱟᱱᱫᱟᱡ 0 ᱫᱷᱟᱹᱵᱤᱡ ᱠᱷᱟᱴᱚ ᱜᱮᱭᱟ᱾ ᱥᱟᱹᱨᱤ ᱠᱷᱮᱞᱟᱲᱤᱠᱚ ᱚᱱᱠᱟ ᱵᱟᱝ ᱠᱚ ᱠᱟᱹᱢᱤᱭᱟ, ᱚᱱᱟᱛᱮ ᱥᱟᱱᱟᱢ ᱦᱚᱲ ᱵᱟᱝ ᱛᱷᱟᱱᱨᱮ 0 ᱠᱚᱣᱟ ᱛᱮ ᱡᱤᱛᱟᱹᱣ ᱠᱟᱱᱟ [1][2]᱾
  • ᱡᱤᱛᱟᱹᱣ ᱵᱟᱝ ᱫᱟᱲᱮᱭᱟ: 66.7 ᱠᱷᱚᱱ ᱪᱮᱛᱟᱱ ᱟᱱᱫᱟᱡ ᱡᱤᱛᱟᱹᱣ ᱵᱟᱝ ᱫᱟᱲᱮᱭᱟ, ᱪᱮᱫᱟᱜ ᱡᱮ ᱡᱩᱫᱤ ᱥᱟᱱᱟᱢ ᱦᱚᱲ 100 ᱟᱱᱫᱟᱡᱟᱜ ᱠᱷᱟᱱ ᱦᱚᱸ, ᱱᱤᱥᱟᱹᱱ ᱫᱚ 66.7 ᱜᱮ ᱦᱩᱭᱩᱜᱼᱟ᱾
  • ᱱᱤᱛᱤᱭᱟᱜ ᱦᱟᱹᱨᱤᱡ: ᱨᱟᱣᱩᱸᱰ ᱢᱩᱪᱟᱹᱜ ᱛᱟᱭᱚᱢ ᱧᱮᱞᱚᱜᱼᱟ (ᱢᱤᱫ ᱨᱟᱣᱩᱸᱰ ᱫᱚ ᱢᱤᱫ ᱦᱟᱯᱛᱟ, ᱥᱚᱢᱵᱟᱨ ᱠᱷᱚᱱ ᱨᱚᱵᱤᱵᱟᱨ, UTC)᱾ ᱚᱱᱟ ᱥᱟᱶ ᱞᱮᱛᱟᱲ ᱥᱟᱨᱮᱡ ᱮᱞ ᱟᱞᱮ ᱩᱫᱩᱜᱟ, ᱚᱱᱟ ᱠᱷᱮᱞ ᱵᱷᱟᱹᱜᱤ ᱫᱮᱭᱟ᱾ ᱚᱨᱡᱚᱢ ᱧᱟᱢ ᱞᱟᱹᱜᱤᱫ 30 ᱠᱷᱮᱞᱟᱲᱤ ᱛᱟᱹᱠᱤᱱ ᱞᱟᱹᱠᱛᱤᱭᱟ᱾

ᱚᱠᱟ ᱮᱞ ᱟᱱᱫᱟᱡ ᱠᱟᱛᱮ ᱥᱮᱨᱮᱡ ᱜᱮᱭᱟ?

ᱢᱤᱫ ᱜᱮ ᱥᱮᱨᱮᱡ ᱮᱞ ᱵᱟᱹᱱᱩᱜᱼᱟ: ᱚᱱᱟ ᱮᱴᱟᱜ ᱥᱟᱱᱟᱢ ᱦᱚᱲ ᱚᱠᱟ ᱟᱱᱫᱟᱡᱟ ᱛᱟᱭᱚᱢ ᱧᱟᱢᱚᱜᱼᱟ᱾ ᱢᱟᱨᱟᱝ ᱥᱟᱱᱟᱢ ᱦᱚᱲ ᱨᱮᱭᱟᱜ ᱠᱷᱮᱞ ᱨᱮ ᱱᱤᱥᱟᱹᱱ ᱟᱹᱰᱤ ᱛᱮ 13 ᱠᱷᱚᱱ 22 ᱛᱟᱞᱟ ᱨᱮ ᱛᱷᱟᱵᱤᱡᱮᱱᱟ᱾ Financial Times ᱨᱮ ᱯᱟᱲᱦᱟᱣᱤᱡᱠᱚᱣᱟᱜ ᱥᱟᱨᱮᱡ ᱮᱞ 18.9 ᱛᱟᱦᱮᱸᱫ ᱛᱮ, ᱱᱤᱥᱟᱹᱱ 12.6 ᱛᱟᱦᱮᱸᱫ [2]᱾ 19,196 ᱯᱟᱲᱦᱟᱣᱤᱡ ᱛᱟᱦᱮᱸᱫ ᱰᱮᱱᱢᱟᱨᱠ ᱨᱮᱭᱟᱜ ᱢᱤᱫ ᱠᱟᱜᱚᱡ ᱠᱷᱮᱞ ᱨᱮ, ᱥᱟᱨᱮᱡ ᱮᱞ 32.4 ᱟᱨ ᱱᱤᱥᱟᱹᱱ 21.6 ᱛᱟᱦᱮᱸᱫ [3]᱾

ᱵᱟᱨ ᱪᱟᱨᱴ: ᱯᱩᱱ ᱪᱟᱯᱟ ᱠᱷᱮᱞ ᱨᱮ ᱥᱟᱨᱮᱡ ᱟᱱᱫᱟᱡ ᱟᱨ ᱱᱤᱥᱟᱹᱱ᱾ ᱞᱮᱵᱽ ᱥᱚᱫᱷ 1995: ᱥᱟᱨᱮᱡ 36.7, ᱱᱤᱥᱟᱹᱱ 24.5᱾ Politiken 2005: ᱥᱟᱨᱮᱡ 32.4, ᱱᱤᱥᱟᱹᱱ 21.6᱾ Spektrum 1997: ᱥᱟᱨᱮᱡ 22.1, ᱱᱤᱥᱟᱹᱱ 14.7᱾ Financial Times 1997: ᱥᱟᱨᱮᱡ 18.9, ᱱᱤᱥᱟᱹᱱ 12.6᱾
ᱪᱤᱛᱟᱹᱨ 1᱾ ᱪᱟᱯᱟ ᱞᱮᱠᱟ ᱪᱟᱯᱟ ᱠᱷᱮᱞ ᱨᱮ ᱥᱟᱨᱮᱡ ᱟᱱᱫᱟᱡ ᱟᱨ 2/3 ᱱᱤᱥᱟᱹᱱ᱾ ᱰᱟᱴᱟ: Nagel 1995, ᱢᱟᱨᱟᱝ ᱨᱟᱣᱩᱸᱰ, 67 ᱪᱷᱟᱛᱨᱚ [1]; Politiken 2005, 19,196 ᱯᱟᱲᱦᱟᱣᱤᱡ [3]; Spektrum der Wissenschaft 1997, 2,728 ᱯᱟᱲᱦᱟᱣᱤᱡ, ᱟᱨ Financial Times 1997, 1,476 ᱯᱟᱲᱦᱟᱣᱤᱡ [2]᱾

ᱱᱚᱶᱟ ᱥᱟᱦᱴᱟ ᱥᱨᱚᱛ ᱞᱟᱹᱭ ᱢᱮ: ᱥᱟᱨᱮᱡ ᱮᱞ ᱨᱮᱭᱟᱜ 2/3 ᱟᱱᱫᱟᱡ ᱢᱮ. Helibrain. 2026. https://helibrain.com/sat/guess-two-thirds-of-the-average. CC BY 4.0.

ᱞᱟᱹᱠᱛᱤ ᱵᱟᱰᱟᱭ ᱠᱟᱛᱷᱟ

  • ᱪᱮᱫ ᱩᱫᱩᱜᱟᱜᱼᱟ: ᱮᱴᱟᱜ ᱦᱚᱲ ᱪᱮᱫ ᱠᱚᱣᱟ ᱚᱱᱟ ᱵᱟᱵᱚᱛ ᱟᱢ ᱛᱤᱭᱟᱹᱜ ᱚᱠᱟ ᱛᱷᱟᱱ ᱟᱜᱩ ᱪᱤᱱᱛᱟᱹᱭᱟ᱾ ᱟᱹᱨᱛᱷᱚᱥᱟᱥᱛᱨᱤᱠᱚ ᱚᱱᱟ ᱛᱷᱟᱱ-k ᱪᱤᱱᱛᱟᱹ ᱠᱚ ᱢᱮᱱᱟ [1][4]᱾
  • ᱢᱟᱨᱟᱝ ᱯᱚᱨᱤᱠᱷᱟ: Rosemarie Nagel ᱨᱮᱭᱟᱜ 1995 ᱥᱚᱫᱷ ᱨᱮᱭᱟᱜ ᱢᱟᱨᱟᱝ ᱨᱟᱣᱩᱸᱰ ᱨᱮ, ᱪᱷᱟᱛᱨᱚᱠᱚ ᱥᱟᱨᱮᱡ ᱛᱮ 36.7 ᱟᱱᱫᱟᱡ ᱞᱮᱫᱟ ᱟᱨ ᱥᱟᱱᱟᱢ ᱠᱷᱚᱱ ᱵᱟᱹᱲᱛᱤ ᱟᱱᱫᱟᱡᱠᱚ 33 ᱟᱨ 22 ᱥᱟᱶ ᱡᱚᱢᱟᱜ ᱛᱟᱦᱮᱸᱫ [1]᱾
  • ᱢᱟᱨᱟᱝ ᱠᱷᱮᱞᱠᱚ: 1,476 Financial Times ᱨᱮᱭᱟᱜ ᱯᱟᱲᱦᱟᱣᱤᱡᱠᱚ ᱥᱟᱨᱮᱡ ᱛᱮ 18.9 ᱟᱱᱫᱟᱡ ᱞᱮᱫᱟ (ᱡᱤᱛᱟᱹᱣ ᱟᱱᱫᱟᱡ 13 ᱛᱟᱦᱮᱸᱫ), ᱟᱨ 19,196 Politiken ᱨᱮᱭᱟᱜ ᱯᱟᱲᱦᱟᱣᱤᱡᱠᱚ ᱥᱟᱨᱮᱡ ᱛᱮ 32.4 ᱟᱱᱫᱟᱡ ᱞᱮᱫᱟ [2][3]᱾
  • 33 ᱛᱮ ᱛᱟᱱᱟ: 2015 ᱨᱮ New York Times ᱨᱮᱭᱟᱜ ᱢᱤᱫ ᱵᱷᱟᱨᱥᱚᱱ ᱨᱮ ᱟᱹᱰᱤ ᱛᱮ 56,000 ᱯᱟᱲᱦᱟᱣᱤᱡ ᱛᱟᱦᱮᱸᱫ, 33 ᱫᱚ ᱥᱟᱱᱟᱢ ᱠᱷᱚᱱ ᱵᱟᱹᱲᱛᱤ ᱵᱟᱪᱷᱟᱣᱟᱱ ᱟᱱᱫᱟᱡ ᱛᱟᱦᱮᱸᱫ [5]᱾
  • ᱪᱮᱫ ᱠᱷᱚᱱ ᱵᱟᱝᱟᱜᱼᱟ: ᱟᱹᱨᱛᱷᱚᱥᱟᱥᱛᱨᱤ John Maynard Keynes ᱥᱴᱚᱠ ᱵᱟᱡᱟᱨ ᱫᱚ ᱥᱩᱱᱫᱚᱨ ᱢᱚᱦᱚᱸ ᱵᱟᱪᱷᱟᱣ ᱠᱷᱮᱞ ᱥᱟᱶ ᱛᱚᱞᱟ ᱞᱮᱫᱟ, ᱚᱠᱟᱨᱮ ᱟᱢ ᱚᱱᱟ ᱢᱚᱦᱚᱸ ᱵᱟᱪᱷᱟᱣᱟᱢ ᱚᱠᱟ ᱮᱴᱟᱜᱠᱚ ᱵᱟᱪᱷᱟᱣᱟ [6]᱾

ᱠᱷᱮᱞ ᱚᱠᱟ ᱞᱮᱠᱟ ᱠᱟᱹᱢᱤᱭᱟ

  1. ᱯᱩᱨᱟᱹ ᱮᱞ ᱢᱤᱫ ᱵᱟᱪᱷᱟᱣ ᱢᱮ 0 ᱠᱷᱚᱱ 100 ᱛᱟᱞᱟ ᱨᱮ, ᱟᱨ ᱚᱱᱟ ᱛᱷᱟᱹᱯ ᱢᱮ᱾
  2. ᱱᱤᱛᱤᱭᱟᱜ ᱥᱟᱱᱟᱢ ᱟᱱᱫᱟᱡ ᱨᱟᱣᱩᱸᱰ ᱵᱚᱸᱫ ᱦᱩᱭᱚᱜ ᱥᱟᱨᱮᱡ ᱠᱚᱣᱟ, ᱟᱨ ᱱᱤᱥᱟᱹᱱ ᱫᱚ ᱚᱱᱟ ᱥᱟᱨᱮᱡ ᱮᱞ ᱨᱮᱭᱟᱜ 2/3 ᱜᱮᱭᱟ᱾
  3. ᱡᱟᱦᱟᱸᱭ ᱠᱷᱟᱴᱚ ᱟᱱᱫᱟᱡ ᱜᱮ ᱡᱤᱛᱟᱹᱣᱟ᱾ ᱚᱠᱟ ᱟᱱᱫᱟᱡᱠᱚ ᱡᱚᱢᱟ ᱛᱟᱦᱮᱸᱫ, ᱡᱤᱛᱟᱹᱣ ᱦᱟᱹᱴᱤᱧᱚᱜᱼᱟ᱾ ᱥᱚᱢᱵᱟᱨ ᱨᱮ ᱯᱮᱡ ᱜᱚᱞᱟᱝ ᱦᱚᱲ, ᱥᱟᱨᱮᱡ, ᱱᱤᱥᱟᱹᱱ, ᱡᱤᱛᱟᱹᱣ ᱟᱱᱫᱟᱡ ᱟᱨ ᱥᱟᱱᱟᱢ ᱮᱞ ᱚᱠᱟ ᱞᱮᱠᱟ ᱟᱱᱫᱟᱡᱟᱱᱟ ᱚᱱᱟ ᱩᱫᱩᱜᱟ᱾

ᱢᱤᱫ ᱨᱟᱣᱩᱸᱰ ᱨᱮ ᱢᱤᱫ ᱦᱚᱲ ᱨᱮᱭᱟᱜ ᱢᱤᱫ ᱟᱱᱫᱟᱡ ᱜᱮ ᱞᱮᱠᱷᱟ ᱨᱮ ᱫᱷᱚᱨᱟᱜᱼᱟ᱾ ᱢᱤᱫ ᱵᱨᱟᱣᱡᱟᱨ ᱟᱨ ᱢᱤᱫ ᱤᱱᱴᱟᱨᱱᱮᱴ ᱡᱚᱲᱟᱣ ᱛᱮ ᱢᱤᱫ ᱟᱱᱫᱟᱡ ᱜᱮ ᱞᱮᱠᱷᱟᱜᱼᱟ, ᱚᱱᱟᱛᱮ ᱢᱤᱫ ᱱᱮᱴᱣᱟᱨᱠ (ᱥᱠᱩᱞ, ᱚᱯᱷᱤᱥ, ᱮᱲᱟᱜ) ᱦᱟᱹᱴᱤᱧ ᱠᱟᱛᱤᱡ ᱦᱚᱲᱠᱚ ᱦᱟᱯᱛᱟ ᱨᱮ ᱢᱤᱫ ᱫᱷᱟᱣ ᱜᱮ ᱞᱮᱠᱷᱟᱜᱼᱟ᱾ ᱫᱚᱥᱟᱨ ᱟᱱᱫᱟᱡ ᱵᱟᱝ ᱞᱮᱠᱷᱟᱜᱼᱟ᱾ ᱟᱢ ᱟᱱᱫᱟᱡᱟᱢ ᱛᱟᱭᱚᱢ ᱛᱚᱦᱚᱨᱮ, ᱯᱮᱡ ᱩᱫᱩᱜᱟᱭ ᱚᱠᱟ ᱛᱷᱟᱱ ᱨᱮ ᱟᱢᱟᱜ ᱮᱞ ᱛᱟᱦᱮᱸᱫ ᱟᱨ ᱪᱮᱞᱠᱟ ᱞᱟᱦᱟ ᱨᱮ ᱟᱱᱫᱟᱡᱟᱱ ᱵᱟᱰᱟᱭ ᱠᱟᱱ ᱠᱷᱮᱞᱠᱚ ᱨᱮ ᱚᱠᱟ ᱞᱮᱠᱟ ᱦᱩᱭ ᱛᱟᱦᱮᱸᱫᱟ᱾

ᱠᱷᱮᱞ ᱚᱠᱟ ᱢᱟᱯᱟ ᱟᱨ ᱚᱠᱟ ᱠᱷᱚᱱ ᱵᱟᱝᱟᱜᱼᱟ

ᱟᱹᱨᱛᱷᱚᱥᱟᱥᱛᱨᱤᱠᱚ ᱱᱚᱶᱟ ᱠᱷᱮᱞ ᱫᱚ p-ᱥᱩᱱᱫᱚᱨ ᱢᱚᱦᱚᱸ ᱵᱟᱪᱷᱟᱣ ᱠᱷᱮᱞ ᱢᱮᱱᱟᱜᱼᱟ, ᱚᱱᱰᱮ p = 2/3᱾ Rosemarie Nagel ᱱᱚᱶᱟ ᱫᱚ 1995 ᱨᱮ ᱢᱤᱫ ᱵᱟᱰᱟᱭᱟᱱ ᱞᱮᱵᱽ ᱯᱚᱨᱤᱠᱷᱟ ᱮ ᱵᱮᱱᱟᱣ ᱠᱮᱫᱟ [1]᱾ ᱟᱭᱟᱜ ᱧᱮᱞᱠᱟᱛᱷᱟ: ᱦᱚᱲᱠᱚ 0 ᱫᱷᱟᱹᱵᱤᱡ ᱯᱩᱨᱟᱹ ᱪᱤᱱᱛᱟᱹᱭᱟ ᱵᱟᱝ, ᱟᱨ ᱵᱟᱝ ᱞᱟᱦᱟ ᱛᱮ ᱟᱱᱫᱟᱡᱟᱜᱼᱟ᱾ ᱵᱟᱹᱲᱛᱤᱭᱟᱜ ᱦᱚᱲ ᱢᱤᱫ ᱥᱮ ᱵᱟᱨ ᱛᱷᱟᱱ ᱛᱟᱭᱚᱢ “ᱟᱭᱟᱜ ᱪᱤᱱᱛᱟᱹ ᱡᱮ ᱤᱧ ᱪᱤᱱᱛᱟᱹᱭᱟ” ᱨᱮ ᱛᱤᱸᱜᱩᱭᱟ᱾

ᱚᱱᱟ ᱵᱤᱪᱟᱹᱨ—ᱮᱴᱟᱜ ᱦᱚᱲ ᱵᱟᱵᱚᱛ ᱦᱚᱲᱠᱚ ᱢᱤᱫ ᱥᱤᱢᱟᱹ ᱛᱷᱟᱱ ᱜᱮ ᱪᱤᱱᱛᱟᱹᱭᱟ—ᱛᱮ ᱛᱚᱨᱠ ᱪᱤᱱᱛᱟᱹ ᱨᱮ ᱛᱷᱟᱱ-k ᱟᱨ ᱢᱚᱱᱚᱵᱷᱟᱵ ᱨᱮᱭᱟᱜ ᱥᱮᱨᱢᱟ ᱢᱚᱰᱮᱞ ᱦᱩᱭ ᱮᱱᱟ [4][7]᱾ ᱛᱟᱭᱚᱢ ᱛᱟᱦᱮᱸᱫ ᱠᱟᱜᱚᱡ ᱠᱷᱮᱞᱠᱚ, ᱡᱟᱦᱟᱸᱨᱮ ᱦᱟᱡᱟᱨᱠᱚ ᱯᱟᱲᱦᱟᱣᱤᱡ ᱛᱟᱦᱮᱸᱫ, ᱚᱱᱟ ᱜᱮ 33 ᱟᱨ 22 ᱨᱮ ᱚᱱᱟ ᱛᱷᱟᱱᱠᱚ ᱩᱫᱩᱜ ᱠᱮᱫᱟ, ᱟᱨ ᱢᱤᱫ ᱫᱚᱞ ᱦᱚᱲ 0 ᱥᱮ 1 ᱵᱟᱪᱷᱟᱣ ᱞᱮᱫᱟ [2]᱾

ᱱᱚᱶᱟ ᱠᱷᱮᱞ ᱪᱮᱫ ᱟᱨ ᱪᱮᱫ ᱵᱟᱝ ᱩᱫᱩᱜ ᱫᱟᱲᱮᱭᱟ

ᱟᱢᱟᱜ ᱛᱷᱟᱱ ᱫᱚ ᱢᱤᱫ ᱠᱷᱮᱞ ᱨᱮᱭᱟᱜ ᱢᱤᱫ ᱟᱱᱫᱟᱡ ᱵᱟᱵᱚᱛ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱵᱩᱫᱷᱤ ᱨᱮᱭᱟᱜ ᱢᱟᱯ ᱠᱟᱱᱟ ᱵᱟᱝ, ᱟᱨ ᱟᱹᱰᱤ ᱟᱜᱩ ᱛᱷᱟᱱ ᱫᱚ ᱟᱹᱰᱤ ᱵᱮᱥ ᱵᱟᱝ: ᱦᱟᱹᱨᱤᱡᱤᱡ ᱫᱚ ᱡᱟᱦᱟᱸᱭ ᱦᱚᱲᱜᱩᱴ ᱚᱠᱟ ᱞᱮᱠᱟ ᱵᱟᱝᱟᱭ ᱚᱱᱟ ᱥᱟᱱᱟᱢ ᱵᱮᱥ ᱟᱱᱫᱟᱡᱟ, ᱟᱨ ᱦᱚᱲᱜᱩᱴ ᱟᱹᱰᱤ ᱛᱮ ᱢᱤᱫ ᱥᱮ ᱵᱟᱨ ᱛᱷᱟᱱ ᱨᱮ ᱛᱤᱸᱜᱩᱭᱟ᱾ ᱛᱷᱟᱱ-4 ᱟᱱᱫᱟᱡ ᱫᱚ ᱪᱟᱹᱞᱟᱜᱟᱱ ᱪᱤᱱᱛᱟᱹ ᱜᱮ, ᱢᱮᱱᱠᱷᱟᱱ ᱟᱹᱰᱤ ᱛᱮ ᱱᱤᱥᱟᱹᱱ ᱠᱷᱚᱱ ᱞᱟᱛᱟᱨ ᱨᱮ ᱧᱩᱨᱜᱚᱜᱼᱟ᱾

ᱱᱚᱸᱰᱮ ᱠᱷᱮᱞᱟᱲᱤᱠᱚ ᱫᱚ ᱚᱱᱟ ᱦᱟᱯᱛᱟ ᱨᱮ ᱦᱤᱡᱩᱜ ᱦᱚᱲᱠᱚ ᱜᱮ, ᱛᱷᱟᱹᱭ ᱮᱞᱟᱱ ᱫᱚᱞ ᱵᱟᱝ, ᱚᱱᱟᱛᱮ ᱱᱤᱥᱟᱹᱱ ᱦᱟᱯᱛᱟ ᱦᱟᱯᱛᱟ ᱵᱚᱫᱚᱞᱚᱜᱼᱟ᱾ ᱵᱟᱰᱟᱭᱟᱱ ᱠᱷᱮᱞᱠᱚ ᱨᱮ ᱟᱹᱰᱤ ᱵᱷᱤᱱᱱᱚ ᱱᱤᱭᱚᱢ ᱛᱟᱦᱮᱸᱫ: Financial Times ᱨᱮ ᱯᱩᱨᱟᱹ ᱮᱞ ᱜᱮ ᱦᱩᱭᱚᱜ ᱛᱟᱦᱮᱸᱫ, Politiken ᱟᱨ Spektrum ᱨᱮ ᱫᱚ ᱮᱲᱮ ᱮᱞ ᱦᱚᱸ ᱠᱚ ᱞᱟᱹᱜᱩ ᱞᱮᱫᱟ [2][3]᱾

ᱵᱟᱹᱲᱛᱤ ᱠᱩᱠᱞᱤᱠᱚ

ᱥᱟᱨᱮᱡ ᱮᱞ ᱨᱮᱭᱟᱜ 2/3 ᱟᱱᱫᱟᱡ ᱨᱮ ᱡᱚᱵᱟᱵ ᱪᱮᱫ ᱠᱟᱱᱟ?

ᱥᱟᱨᱮᱡ ᱮᱞ ᱨᱮᱭᱟᱜ 2/3 ᱟᱱᱫᱟᱡ ᱨᱮ ᱛᱷᱟᱹᱭ ᱡᱚᱵᱟᱵ ᱵᱟᱹᱱᱩᱜᱼᱟ᱾ ᱠᱷᱮᱞ ᱛᱚᱨᱠ ᱢᱮᱱᱟᱜᱼᱟ 0, ᱪᱮᱫᱟᱜ ᱡᱮ ᱡᱚᱛᱚ ᱠᱷᱮᱞᱟᱲᱤ ᱮᱴᱟᱜ ᱥᱟᱱᱟᱢᱠᱚ ᱠᱷᱚᱱ ᱟᱨ ᱞᱟᱛᱟᱨ ᱨᱮ ᱟᱱᱫᱟᱡ ᱠᱟᱛᱮ ᱥᱟᱹᱨᱤ ᱛᱚᱨᱠ ᱠᱚ ᱢᱮᱱᱟᱜᱼᱟ᱾ ᱢᱮᱱᱠᱷᱟᱱ ᱥᱟᱹᱨᱤ ᱦᱚᱲᱠᱚ ᱢᱤᱫ ᱥᱮ ᱵᱟᱨ ᱛᱷᱟᱱ ᱛᱟᱭᱚᱢ ᱛᱤᱸᱜᱩᱭᱟ, ᱚᱱᱟᱛᱮ ᱪᱟᱯᱟᱱ ᱠᱷᱮᱞ ᱨᱮ ᱡᱤᱛᱟᱹᱣ ᱮᱞ 13 ᱟᱨ 21.6 ᱛᱟᱞᱟ ᱨᱮ ᱛᱟᱦᱮᱸᱫ [2][3]᱾ ᱥᱮᱨᱮᱡ ᱟᱱᱫᱟᱡ ᱫᱚ ᱟᱢ ᱚᱠᱟ ᱮᱞ ᱮᱴᱟᱜ ᱦᱚᱲ ᱥᱟᱨᱮᱡᱟ ᱟᱱᱫᱟᱡᱟᱢ, ᱚᱱᱟᱜ 2/3 ᱜᱮᱭᱟ᱾

ᱪᱮᱫᱟᱜ 0 ᱵᱟᱝ ᱡᱤᱛᱟᱹᱣᱟ?

ᱡᱩᱫᱤ ᱵᱟᱹᱲᱛᱤ ᱦᱚᱲ ᱛᱚᱨᱠ ᱛᱮ ᱯᱩᱨᱟᱹ ᱞᱟᱛᱟᱨ ᱫᱷᱟᱹᱵᱤᱡ ᱪᱤᱱᱛᱟᱹᱭᱟ ᱛᱟᱵᱮ 0 ᱡᱤᱛᱟᱹᱣ ᱫᱟᱲᱮᱭᱟ᱾ ᱥᱟᱹᱨᱤ ᱠᱷᱮᱞᱠᱚ ᱨᱮ, ᱟᱹᱰᱤ ᱦᱚᱲ 33 ᱥᱮ 22 ᱡᱮᱞᱮᱠᱟ ᱟᱱᱫᱟᱡᱟ, ᱟᱨ ᱡᱮᱞᱮᱠᱟ ᱦᱚᱲ ᱪᱮᱛᱟᱱ ᱮᱞ ᱟᱱᱫᱟᱡᱟ, ᱚᱱᱟ ᱥᱟᱨᱮᱡ ᱮᱞ ᱚᱪᱚᱜᱼᱟ᱾ Financial Times ᱨᱮᱭᱟᱜ ᱠᱷᱮᱞ ᱨᱮ ᱥᱟᱨᱮᱡ ᱮᱞ 18.9 ᱟᱨ ᱱᱤᱥᱟᱹᱱ 12.6 ᱛᱟᱦᱮᱸᱫ, 0 ᱠᱷᱚᱱ ᱟᱹᱰᱤ ᱥᱟᱸᱜᱤᱧ [2]᱾

“ᱛᱷᱟᱱ-2 ᱪᱤᱱᱛᱟᱹᱤᱡ” ᱢᱮᱱᱛᱮ ᱪᱮᱫ?

ᱛᱷᱟᱱ-2 ᱪᱤᱱᱛᱟᱹᱤᱡ ᱫᱚ ᱮᱴᱟᱜ ᱦᱚᱲ ᱢᱤᱫ ᱛᱷᱟᱱ ᱟᱜᱩ ᱪᱤᱱᱛᱟᱹᱭᱟ (ᱚᱱᱠᱟ ᱠᱷᱟᱱ 33 ᱟᱱᱫᱟᱡ ᱠᱚᱣᱟ) ᱢᱮᱱᱛᱮ ᱟᱱᱫᱟᱡᱟ ᱟᱨ ᱟᱨᱮᱢ ᱢᱤᱫ ᱛᱷᱟᱱ ᱟᱜᱩ ᱟ: 33 ᱨᱮᱭᱟᱜ 2/3 ᱫᱚ ᱟᱹᱰᱤ ᱛᱮ 22 ᱜᱮᱭᱟ᱾ Helibrain ᱠᱷᱮᱞ ᱨᱮ, ᱟᱢᱟᱜ ᱛᱷᱟᱱ ᱫᱚ ᱚᱱᱟ ᱥᱟᱹᱨᱤ (50, 33, 22, 15, 10) ᱨᱮᱭᱟᱜ ᱚᱠᱟ ᱛᱷᱟᱱ ᱥᱟᱶ ᱟᱢᱟᱜ ᱟᱱᱫᱟᱡ ᱥᱟᱱᱟᱢ ᱠᱷᱚᱱ ᱡᱚᱢᱟᱜᱼᱟ [1]᱾

ᱤᱧ ᱢᱤᱫ ᱠᱷᱚᱱ ᱟᱹᱰᱤ ᱫᱷᱟᱣ ᱠᱷᱮᱞᱟᱜ ᱫᱟᱲᱮᱭᱟ?

ᱦᱮᱸ, ᱢᱮᱱᱠᱷᱟᱱ ᱦᱟᱯᱛᱟ ᱨᱮ ᱟᱢᱟᱜ ᱢᱟᱨᱟᱝ ᱟᱱᱫᱟᱡ ᱜᱮ ᱨᱟᱣᱩᱸᱰ ᱨᱮ ᱞᱮᱠᱷᱟᱜᱼᱟ᱾ ᱛᱟᱭᱚᱢ ᱟᱱᱫᱟᱡᱠᱚ ᱥᱟᱹᱨᱤ ᱨᱮ ᱩᱫᱩᱜᱚᱜᱼᱟ, ᱢᱮᱱᱠᱷᱟᱱ ᱞᱮᱠᱷᱟᱜᱼᱟ ᱵᱟᱝ, ᱚᱱᱟᱛᱮ ᱟᱹᱰᱤ ᱫᱷᱟᱣ ᱟᱱᱫᱟᱡ ᱛᱮ ᱡᱚᱵᱟᱵ ᱵᱚᱫᱚᱞ ᱵᱟᱝ ᱫᱟᱲᱮᱭᱟ᱾ ᱢᱤᱫ ᱱᱟᱶᱟ ᱨᱟᱣᱩᱸᱰ ᱡᱚᱛᱚ ᱥᱚᱢᱵᱟᱨ ᱨᱮ ᱮᱦᱚᱵᱚᱜᱼᱟ᱾

Helibrain 2/3 ᱠᱷᱮᱞ ᱥᱟᱹᱨᱤᱜᱮ ᱥᱟᱹᱥᱟᱹ ᱠᱟᱱᱟ?

ᱦᱮᱸ᱾ Helibrain 2/3 ᱠᱷᱮᱞ ᱟᱨ ᱡᱚᱛᱚ ᱦᱟᱯᱛᱟᱣᱟᱨᱤ ᱚᱨᱡᱚᱢᱠᱚ ᱥᱟᱹᱥᱟᱹ: ᱥᱟᱭᱤᱱ ᱚᱞ ᱵᱟᱝ, ᱤᱢᱮᱞ ᱵᱟᱝ, ᱯᱟᱹᱭᱥᱟ ᱵᱟᱝ᱾ Helibrain ᱟᱯᱞᱤᱠᱮᱥᱚᱱ ᱠᱷᱚᱱ ᱴᱟᱠᱟ ᱠᱟᱢᱟᱭᱟ, ᱚᱱᱰᱮ ᱥᱟᱹᱥᱟᱹ ᱟᱨ ᱯᱟᱹᱭᱥᱟ ᱛᱮ ᱞᱟᱹᱜᱩ ᱞᱮᱠᱟᱱ ᱯᱞᱮᱱ ᱢᱮᱱᱟᱜᱼᱟ; ᱠᱷᱮᱞᱟᱜ ᱞᱟᱹᱜᱤᱫ ᱟᱯᱞᱤᱠᱮᱥᱚᱱ ᱞᱟᱹᱠᱛᱤ ᱵᱟᱹᱱᱩᱜᱼᱟ᱾

ᱡᱚᱲᱟᱣ ᱯᱚᱨᱤᱠᱷᱟᱠᱚ

ᱥᱟᱱᱟᱢ 43 ᱵᱤᱱᱟ ᱯᱟᱹᱭᱥᱟ ᱢᱚᱱ ᱯᱚᱨᱤᱠᱷᱟ ᱧᱮᱞ ᱢᱮ

ᱱᱚᱶᱟ ᱫᱤᱱ ᱨᱮᱭᱟᱜ ᱠᱟᱹᱢᱤ ᱞᱮᱠᱟᱛᱮ ᱠᱟᱹᱢᱤ ᱥᱟᱱᱟᱭᱮᱫ ᱢᱮ? Helibrain ᱮᱯ (ᱱᱤᱛ ᱫᱷᱟᱹᱵᱤᱡ ᱤᱝᱞᱤᱥ ᱨᱮ) ᱨᱮ ᱵᱤᱱᱟ ᱯᱟᱹᱭᱥᱟ ᱯᱞᱮᱱ ᱟᱨ ᱯᱟᱹᱭᱥᱟ ᱮᱢᱟᱜ ᱯᱞᱮᱱᱠᱚ ᱢᱮᱱᱟᱜᱼᱟ᱾

ᱱᱚᱶᱟ ᱥᱟᱦᱴᱟ ᱥᱨᱚᱛ ᱞᱟᱹᱭ ᱢᱮ: ᱥᱟᱨᱮᱡ ᱮᱞ ᱨᱮᱭᱟᱜ 2/3 ᱟᱱᱫᱟᱡ ᱢᱮ. Helibrain. 2026. https://helibrain.com/sat/guess-two-thirds-of-the-average. CC BY 4.0.

How this test works

This is a weekly strategy game. Pick a whole number from 0 to 100. When the week ends, everyone's guesses are averaged, and the winner is whoever comes closest to two thirds of that average. Right after you guess, you see how many steps ahead of other players your number suggests, and how it would have done in famous contests. Economists first ran this game as a lab experiment in 1995.

Version 1 · Cite this test:

Helibrain (2026). Guess 2/3 of the average, v1. https://helibrain.com/guess-two-thirds-of-the-average/methods

Full method →

ᱥᱨᱚᱛ

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  5. Quealy K (2015). How readers fared in Upshot's number puzzle. The New York Times, 20 August 2015. www.nytimes.com/2015/08/21/upshot/how-readers-fared-in-upshots-number-puzzle.html
  6. Keynes JM (1936). The General Theory of Employment, Interest and Money, chapter 12. London: Macmillan.
  7. Stahl DO, Wilson PW (1995). On players' models of other players: theory and experimental evidence. Games and Economic Behavior 10(1):218–254. doi.org/10.1006/game.1995.1031

ᱱᱚᱶᱟ ᱥᱟᱠᱟᱢ ᱞᱮ ᱪᱮᱞᱠᱟ ᱛᱮᱭᱟᱨ ᱠᱮᱫᱟ: ᱪᱮᱛᱟᱱ ᱨᱮ ᱮᱢ ᱟᱠᱟᱱ ᱟᱫᱷᱭᱚᱭᱚᱱᱠᱚ ᱠᱷᱚᱱ Helibrain ᱫᱚᱞ ᱫᱚ ᱚᱞ ᱠᱮᱫᱟ, ᱟᱨ Robert(ᱤᱝᱞᱤᱥ) (ᱵᱟᱭᱚᱯᱷᱤᱡᱤᱠᱥ ᱯᱤᱮᱪᱰᱤ ᱠᱟᱹᱢᱤᱭᱟᱹ) ᱫᱚ 4 ᱱᱟᱣᱟᱢᱵᱟᱨ 2026 ᱨᱮ ᱧᱮᱞ ᱠᱮᱫᱟ᱾ ᱥᱚᱛᱚᱨᱠᱚ ᱵᱚᱫᱚᱞᱚᱜ ᱠᱷᱚᱱ ᱞᱮ ᱱᱚᱶᱟ ᱦᱟᱹᱞᱤ ᱠᱟᱹᱢᱤᱭᱟ᱾