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Presuming the behavior is real and not an artifact of the model. This is a statistical technique, needing specially selected targets in order to be observed reliably - and also assuming those targets themselves are typical.

There's plenty of observations which can accidentally vanish because of subtle problems with assumptions, so declaring a total refutation is beyond premature.

Like to wit, if MOND is real then you've really got to explain how sometimes it also selectively just bails out on some galaxies apparently[1].

I'm tired of people trotting out "epicycles" to attack theories they don't like: you're gonna be adding a lot of those to get a MOND which can explain all the data as well (which is to say, it's a trite insult and not useful argument).

[1] https://en.wikipedia.org/wiki/NGC_1052-DF2



Iirc, the udg makes sense if the distance to it is off by something like 25% and the orientation of rotation is off by a bit. Those parameters are very hard to measure in UDGs.


> I'm tired of people trotting out "epicycles" to attack theories they don't like

That's disingenuous. LCDM has a long history of failing to successfully predict later observations and adding parameters to fit the data, where MOND has made many successful a priori predictions without any added parameters since the 1980s. This is not just a matter of not liking something, successful predictions vs. post-hoc curve fitting strikes at the very core of what it means to be a good scientific theory. See:

From Galactic Bars to the Hubble Tension: Weighing Up the Astrophysical Evidence for Milgromian Gravity, https://www.mdpi.com/2073-8994/14/7/1331

As I said, neither approach is fully satisfactory, and we need new thinking about this problem.




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