Which is measured how and actually means what in real world terms?
If you mean by drawing some geometric shape around all of the wind turbines in a farm and then dividing the total power output by the area of that shape, I've already pointed out that it's nonsense. You also ignored the "means what in real world terms" part. Maybe you're not just selectively editing that out and you didn't know what I meant. To elaborate, the point is what is the actual significance of that number? What is the real world relationship between that number and, for example, how densely you can pack the wind turbines, or how much total available energy you can practically harvest, etc.? Why and how is this meaningful?
And now you're moving the goalposts. You said Mackay's numbers were old and wildly off. Mackay's numbers match modern wind farms.
MacKay uses plenty of numbers, some are pretty wildly off, some are ballpark, some are accurate. He could hardly get away with fudging absolutely everything. There are plenty of parts where he didn't really need to, for example where he talked about efficiency in transportation. I will note of course that, even in that section, his numbers on, for example, electric cars do not match the performance of modern EVs because, once again, his data is old. He was writing using data that was, at best, as recent as 2007. I tried to find some data on EV car sales over time going back that far, but the best I could easily find was back to 2014 when worldwide BEV sales were ostensibly 108X less than 2024, except that it appears the 2014 numbers were being rounded up to the nearest 0.1 million, so it's probably even more. He devotes plenty of time to hydrogen as a vehicle fuel. Critically, which maybe could be considered prescient, but the point is that today, hydrogen as a vehicle fuel is still a non-starter, so all of that is outdated. His estimate of world lithium reserves is a factor of 3X lower than current estimates. Overall, yes, the numbers, other data and understanding of the energy situation are out of date in his book since they are about two decades old
I explicitly pointed out though that the actual performance of wind turbines has not changed by a lot (although it has changed). My point about MacKay's book is that there are numerous reasons to avoid it as a source because of the outdated information and the errors, whether they are accidental or due to bias and intellectual dishonesty. If you need to use a source, use modern primary sources. You have already demonstrated that you can. You also have not addressed the question of whether the numbers have any meaning. Where his numbers were not wildly off, MacKay threw in a lot of "assumptions" that were pretty obviously cherry picked. He seems to arbitrarily decide how much land use is acceptable specifically to make it work out so that he could demonstrate in graphs that renewables are not able to produce enough power to meet the needs of the UK. How does that meaningfully apply to offshore wind today.
I will note also that you have not addressed the fact that you appear to have been conflating wind power per unit area in the vertical plane with wind turbine power generation by unit of horizontal area (whether or not you're basing that number on a method that is in large part arbitrary).
Aaaaaaahahahahah pull the other one, mate, it's got bells on.
You picked two things he "fudged the numbers" on. Both of them were fine. So now it's other, nonspecific numbers that are fudged. Cool.
What are you talking about? In what way were they "fine"? Why are you pretending that you even addressed the fudged numbers? Current UK primary power needs work out to an average production of around 220 GW (164.4 million tones of oil equivalent per year at 11,630 kWh per ton of oil equivalent divided by 365.2422, divided by 24, then divided by 1 million to convert kW to GW). 195 kWh per person per day works out, with a population of 69.718 million to about 566 GW (195 kWh times 69.718 million divided by 24 hours, then divided by 1 million to convert kW to GW). MacKay's number is over by a factor of about 2.6X. How exactly is that "fine"?
As for the other factor that you say is "fine" that you have not actually addressed, it's the method of determining power density per unit of ground area for wind plants. Why is your crude geometric method of drawing a perimeter around the wind farm and dividing the total power produced by that method remotely valid given the confounding factors I have mentioned? You did not remotely address them, but you are acting as if you somehow not only addressed them, but as if you somehow proved their irrelevance? You seem to have skipped some steps.
Look, once again, you can make whatever argument you want about wind turbines and I can address it on the merits. If you use MacKay's book as the source though, you're going to end up having to defend your source. You should just use a modern primary source instead. MacKay's book is not academically rigorous (there's an extensive bibliography, for example, but next to no in-text citations), not properly peer reviewed, clearly biased (during the sections on nuclear power, he treats criticisms of nuclear power like personal insults). It has a pretension towards being neutral and factual to the degree that it puts on airs of being the only source that actually bothers using arithmetic and analysis to examine power issues. It is outdated. It has been critically reviewed with the numerous problems pointed out many times. MacKay himself, towards the end of his life, started abandoning the pretense and making his pro-nuclear bias abundantly clear.