[EM] Addendum re: unselfish nonmajoritarian sincere-rating conditions

[Michael Ossipoff]

For a late and abrupt increase in the magnitude of the weighting of
negative ratings, I guess a hyperbola would be even better than an
exponential function:

y = -A/(x+B)

...where x is any negative rating-value, and y is its
altruistically-magnified value,
...and  A and B are positive constants.

B is the distance between the hyperbola's asymptote and the y axis.

But, to pass the function through (0,0), an additional term is needed:

y = -A/(X+B) + A/B

To avoid y having less magnitude than x, that should be:

F = -A/(X+B) + A/B

y = min(x,F)

Where the ratings-range is[ -N to +N], B would be chosen to be
slightly larger than N. A and B would be chosen for what seems the
right combination of fairness and practicality.

Of course nommajoritarian unselfish sincere-rating conditions are
farther away than any of the other conditions that I've defined, and
so these #4  methods don't now have practical relevance for public
political elections.

Michael Ossipoff