PRONOUNS - COMPELLED SPEECH
The right to refuse to use female pronouns to refer to male-bodied people – especially sexual abusers, rapists, domestic abusers, and violent attackers.
EXAMPLE: THE 2018 KIDNAPPING, TORTURE & MURDER OF DIMETRIUS PAIRAMA
Convictions in a case of kidnapping, torture and murder of a young teenaged woman, Dimetrius Pairama in 2018, has reporters referring to the main perpetrator as a "more dominant woman". A follow-up article regarding the sentencing, has the judge referring to the same person as [she]. The rest of the coverage takes care not to refer to either of the two convicted of this crime as men.
"The court, however, heard from another teenager who was at the house.
She was the Crown's key witness and was given immunity from prosecution by the Deputy Solicitor-General.
"They told her to take her clothes off and shaved her hair, burnt her body parts and then had a little meeting," the teen witness said.
Pairama, the teen said, was "crying ... she doesn't know how to fight ... she just went with it".
Tied to a chair with rope and gagged, her body burned with a spray can and lighter, Pairama was then given a chilling choice.
The witness said Winter barked: "It's your fault that I got [suppressed] ... how do you wanna die? Karma is a b*tch'. How do you wanna die? You only got 'til three o'clock."
At three o'clock Pairama was to be stabbed if she didn't choose death by hanging.
"They told me to go to the living room to keep a look out and [because] they didn't want me to look at it, so I went to the living room, sat there and I could hear like stomps, could hear banging in the hallway and when they finished killing her, one of them came outside and I opened the door and I saw her hanging," the witness told Detective Constable Frageo (Damon) Petersen in a filmed interview."
A FOI response indicates that Statistics NZ - will record this as a kidnapping, torture and murder by a woman.
This creates inaccurate data at the point of collection, and skews statistics in regards to sex differences, making such statistics nonsensical.