My latest paper has just been accepted by the journal Astrophysics and Space Science (journal website) and I have already posted a preprint on Research Gate here. I will also post it on arXiv, but the arXiv have demoted me to the general physics section so I get very few reads from arXiv anyway. In a previous paper (McCulloch, 2012, see references below) and a new paper I have been submitting to various journals with no luck so far, I have shown that quantised inertia (QI, MiHsC) predicts the rotation of dwarf galaxies, spiral galaxies and galaxy clusters without dark matter or adjustment, but in this accepted paper, in a sudden bout of strategic thinking, I deliberately selected more extreme objects that other models cannot predict well, or at least not without becoming ridiculous.
These objects are the Milky Way dwarf galaxies: about 20 tiny galaxies orbiting close to the Milky Way. They have very little mass and so the accelerations of the stars within them are tiny, and the effect of quantised inertia should be more obvious, and indeed they show huge anomalies. The Figure below plots data from 11 of these systems (those for which data on masses and speed is available) against their visible mass in Solar masses (on the x axis) and the spin velocity of their stars (y axis). The observed speeds are shown by the open squares, their names are also shown, and the errors in the speeds are shown by the vertical bars.
Given the visible mass in them, good old Newton would have predicted that the maximum speed the stars might achieve without breaking free should be the speed shown by the small crosses at the bottom of the plot. Newton would look at this data and say: "Bah! They should fly asunder! I shall have another crack at that." The dwarfs obviously don't fly apart since they look more or less round, so to make it all work out astrophysicists who don't wish to change the old theories (GR predicts similarly) add just enough invisible dark matter to these systems to hold them in. The trouble is that in these dwarf cases they have to add the dark stuff in amounts that make the actual laws of normal physics pretty irrelevant (amounts of dark mass several hundred times the amount of visible matter) so these systems are governed mostly by convenient dark 'magic'.
MoND is far more specific than dark matter, so it is a better hypothesis, but MoND also has the problem that it needs a 'little bit' of magic: an adjustable parameter which is set by trial and error to 'make' its predictions fit the data. Adjustable parameters are simply an admission that one does not know what the dingo's kidney is going on. Anyway, MoND underpredicts the speeds a bit, and the rms difference between the data and the predictions is 3.6 km/s (By the way, entropic gravity also cannot predict these dwarfs since it predicts the anomalies should be greatest at large scales, but these dwarfs show that galaxy rotation anomalies are greatest at low accelerations, rather than large scales).
The predictions of quantised inertia, QI/MiHsC, don't depend on scale, but depend, correctly, on low acceleration, and are shown in the plot by the black triangles. They are closer to the observations than MoND (the rms difference is 3.2 km/s) but the main point is that quantised inertia beats MoND (albeit slightly) WITHOUT an arbitrary adjustable parameter. Nothing is input to QI apart from the visible matter, the speed of light and the cosmic diameter (all quantities that can be observed). I now have the beginnings of the feeling you get in chess when you are approaching the end game with the advantage (I recognise this feeling, though I have not had it very often!) and I hope that physicists do not just try to throw the chess board out of the window, but show some interest in how it was done.
McCulloch, M.E., 2012. Testing quantised inertia on galactic scales. Astrophysics and Space Science, Vol. 342, 2, 575-578. ResearchGate preprint, ArXiv preprint
McCulloch, M.E., 2017. Low-acceleration dwarf galaxies as tests of quantised inertia. Astrophysics and Space Science (accepted). Online