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Another explanation could be that the data, particularly for the wealth of the bottom 50% isn't good enough at the level of detail we want it to explain.
One possible reason for this might be that the data were transformed (difference transformation) prior to correlation analysis to obtain normality.
It can also be that the data and interpretation are meaningless because of a lack of physiological context or experimental control.
The advantage of that would be that the data rates could in principle be far higher than with radio devices.
The hope would be that the data returned by the telescope would allow the orbits of all these asteroids to be determined for about the next 100 years.
The reassurance needs to be that the data is not kept for any more than a reasonable amount of time - perhaps a couple of years".
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Yet another possible outcome would be that the data-driven scene changes would override top-down cultural biases such that when picture elements are changed (either the object or background), both Westerners and East Asians' attention would be drawn towards the novelty rather than repeated elements, and cultural differences are eliminated.
A second weakness is that the data is never perfect".
The term of art is that the data was "unselected".
The flaw in that theory is that the data suggests differently.
The work takes time, but the good news is that the data stays around forever.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com