All the definitions of objectivity describe a property of the experimenter, not the method.
A method can be biased too. Take, for example, the estimator S^2 = (1/n) sum (x[i]-mean(x))^2. This is a biased estimator of the standard deviation, but nevertheless it is objective. It is not influenced by the state of the experimenter at all.
Personal bias contradicts objectivity, but not all bias is personal bias.
Feel free to conflate all errors under one label - those of us who care about getting our measurements right don't have that luxury.
A method can be biased too. Take, for example, the estimator S^2 = (1/n) sum (x[i]-mean(x))^2. This is a biased estimator of the standard deviation, but nevertheless it is objective. It is not influenced by the state of the experimenter at all.
Personal bias contradicts objectivity, but not all bias is personal bias.
Feel free to conflate all errors under one label - those of us who care about getting our measurements right don't have that luxury.