I did not mention historical events in my comment.
And in any case, whatever model you train is going to have the biases of the training datasets, and if you make heavy use of Wikipedia you will have the footprint of Wikipedia in your output, for good or bad.
"Similarly censored for similar topics" implies heavily that hypothetical events such as Tiananmen Square would be similarly surprised by English large language models.
And in any case, whatever model you train is going to have the biases of the training datasets, and if you make heavy use of Wikipedia you will have the footprint of Wikipedia in your output, for good or bad.