Soichi Ichida

Dr. Soichi Ichida (30 December 1910 – 30 June 1986) was a distinguished Japanese philatelist who specialized in studies of classic Japanese postage stamps and encouraged the collecting of Japanese stamps and Japanese postal history throughout the world.

Soichi Ichida
Born(1910-12-30)December 30, 1910
DiedJune 30, 1986(1986-06-30) (aged 75)
NationalityJapan
OccupationEngineer
Engineering career
ProjectsBecame expert on classic Japanese postage stamps; wrote extensively on the subject
AwardsCrawford Medal
APS Hall of Fame
Lichtenstein Medal
Lindenberg Medal
Luff Award

Philatelic literature

Dr. Soichi Ichida wrote extensively on Japanese classic stamps. His works include “The Dragon Stamps of Japan 1871–1872” in 1959, “The Cherry Blossom Issues of Japan 1872–1876” in 1965 and for which he was awarded the Crawford Medal in 1966. He also wrote “The Six Sen Violet Brown Native Paper Stamp 1874.”

Philatelic activity

Soichi Ichida was founding president of the Inter-Asian Philatelic Federation and president of the All-Japan Philatelic Federation.

Honors and awards

Soichi Ichida received numerous recognition for his work. These included the Crawford Medal in 1966, signing the Roll of Distinguished Philatelists in 1971,[1] receiving the Lichtenstein Medal in 1972 and the Lindenberg Medal in 1981. He received the Luff Award in 1984 and was elected to the American Philatelic Society Hall of Fame in 1987.[2]

gollark: No, I mean it could give one or the other a non-population-related advantage due to differences in the geometry of some kind.
gollark: I guess it's possible that even one which doesn't know about parties might accidentally be biased due to (hypothetically, I don't know if this is true) one party being popular in low-density areas and the other in high-density, or really any other difference in locations.
gollark: You don't actually need simple shapes very badly as long as you have an algorithm which is not likely to be biased.
gollark: Okay, rearrange the states so they're square.
gollark: A simple if slightly inaccurate way would be some kind of binary space partitioning thing, where (pretending the US is a perfect square) you just repeatedly divide it in half (alternatingly vertically/horizontally), but stop dividing a particular subregion when population goes below some target number.

See also

References

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