Your counterfactual explanation makes sense in the helmet example, but I think most people wouldn't be able to figure out that connection without such an explanation. Even if it's correct, it's still confusing. For example, I can't figure out what the relevant counterfactual is in the alcohol example.
That's not to say that these are purely value-neutral facts, it still makes sense for them to be called out by this tool. I wish I had a better term for them though, rather than just complaining about the current label.
I think the issue is this: there is a bias when certain news sources only mention facts about what drivers did right (like not being impaired) and about what pedestrians or cyclists did wrong (like not wearing a helmet).
We cannot easily detect this pattern of bias from just a sample of one article from the given source, however, even from one article, there can be a hint of this bias. For instance, a statement about the impairment level of the driver is not made, but the status about the bicycle helmet is made.
To avoid, or at least reduce biases, the reporter has to have a standard template of all relevant fact types, fill it in with everything that is known and then report on everything. If the cyclist was wearing a helmet, report that; if not also report that.
(The available facts may be biased, like what the police and other on-scene responders take in and communicate.)
That's not to say that these are purely value-neutral facts, it still makes sense for them to be called out by this tool. I wish I had a better term for them though, rather than just complaining about the current label.