I have my government box of them sitting by my phone. I used one last weekend before I met somebody and went out for lunch. As expected, it was negative. I couldn't possibly have been infected because I hadn't been anywhere I could have caught anything. The person I met has had regular tests because he has worked throughout the pandemic doing research into coronaviruses. I haven't a clue when I'll use the rest. I prefer to make sure I don't get infected, despite having had both vaccinations.
I've been doing some maths with the figures and it's quite interesting. LFTs are far more likely to produce false negative results than false positives, so give people a sense of false security. They are another tool along with vaccinations and all the usual precautions, such as self-distancing, masks and good ventilation, but no more. They're not a cast iron guarantee and I don't see a problem, so long as people understand that.
The figure of 1 in a 1,000 false positives is theoretical. Therefore - theoretically - if the incidence rate is 1 in a 1,000 (and it's still higher than that in some areas), the tests will pick up one true positive and one false negative. Obviously, that's inconvenient for the person who is false positive because he/she will have to self-isolate until a PCR test returns a negative result. Nevertheless, from a public health point of view, it's probably worth it because the true positive person could go on to seed many more infections.
The issues arise when the incidence rate is low. Many areas (including mine) currently have an incidence rate of less than 1 in 5,000. That means that if everybody is tested, there will be one true positive for every five false positives. In other words, the accuracy for positives is 20%. It means that five people have to self-isolate unnecessarily, not to mention the cost of providing LFTs. If the incidence rate were to rise again, LFTs would become more valid.
It does seem that LFTs are being used as a sort of "comfort blanket" for many people. They have their uses for identifying the majority of infected people when incidence rates are high, but I don't see they're serving a useful purpose. They're also encouraging people to use the "false positive" argument as an excuse for lifting all restrictions.