Dear Herman,
I think that MPR is a very neat and tidy, excellent, proposal.
Moreover it uses the word “measurements”, and we are an experimental based 
science.
I support it.
Great.
Greetings,
John 

Emeritus Professor John R Helliwell DSc




> On 30 Jun 2020, at 15:10, Schreuder, Herman /DE <herman.schreu...@sanofi.com> 
> wrote:
> 
> 
> Dear BB,
>  
> Since there does not seem a generally accepted term for the subject of this 
> discussions, and since even the IUCR scriptures do not give any guidance, I 
> would propose to introduce a completely new term:
>  
> Measurements per reflection or MPR
>  
> This term is politically neutral, should adequately describe this particular 
> statistic and is not associated with entrenched traditions at either side of 
> the Atlantic.
>  
> What do you think?
> Herman
>  
>  
> Von: CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK> Im Auftrag von John R 
> Helliwell
> Gesendet: Dienstag, 30. Juni 2020 14:34
> An: CCP4BB@JISCMAIL.AC.UK
> Betreff: [EXTERNAL] Re: [ccp4bb] number of frames to get a full dataset?
>  
> EXTERNAL : Real sender is owner-ccp...@jiscmail.ac.uk
> 
>  
> 
> Dear Colleagues,
> In an effort to break this naming deadlock, and with Massimo and Ian not 
> showing up as yet, I checked the IUCr Dictionary.
> “Redundancy“ and “Multiplicity“ are not listed.
> The more generic term “Statistical Descriptors“ is though and even offers 
> Recommendations:-
> http://ww1.iucr.org/iucr-top/comm/cnom/statdes/recomm.html
> Point 1, first sentence, fits the various wishes of this thread succinctly, 
> if not in a single word, and even not readily allowing an easy acronym. 
> Greetings,
> John 
>  
> 
> Emeritus Professor John R Helliwell DSc
>  
>  
> 
> 
> On 30 Jun 2020, at 13:11, Phil Jeffrey <pjeff...@princeton.edu> wrote:
> 
> The people that already use multiplicity are going to find reasons why it's 
> the superior naming scheme - although the underlying reason has a lot to do 
> with negative associations with 'redundant', perhaps hightened in the current 
> environment.  And conversely redundant works for many others - Graeme's 
> pragmatic defense of multiplicity actually works both ways - any person who 
> takes the trouble to read the stats table, now exiled to Supplementary Data, 
> knows what it means.  Surely, then, the only way forward on this almost 
> totally irrelevant discussion is to come up with a universally-loathed 
> nomenclature that pleases nobody, preferably an acronym whose origins will be 
> lost to history and the dusty CCP4 archives (which contain threads similar to 
> this one).  I humbly submit:
> 
> NFDOF: Nearly Futile Data Overcollection Factor ?
> [*]
> 
> Or, even better, could we not move on to equally pointless discussions of the 
> inappropriateness of "R-factor" ?  I have a long history of rearguard action 
> trying to give stupid acronyms a wider audience, so you're guaranteed to hear 
> from me on this for years.
> 
> (Personally I'm pining for Gerard Kleywegt to resume his quest for 
> overextended naming rationales, of which ValLigURL is a personal 
> 'favo[u]rite'.  But I'm just old-fashioned.)
> 
> Ironically,
> Phil Jeffrey
> Princeton
> 
> [* I too have collected 540 degrees in P1 to solve a SAD structure, just 
> because I could, hence "nearly"]
> [** The actual answer to this thread is: history is written by the authors of 
> scaling programs - and I think the Americans are currently losing at this 
> game, thus perilously close to making themselves redundant.]
> 
> On 6/30/20 4:14 AM, Winter, Graeme (DLSLtd,RAL,LSCI) wrote:
> 
> Or, we could accept the fact that crystallographers are kinda used to 
> multiplicity of an individual Miller index being different to multiplicity of 
> observations, and in Table 1 know which one you mean? 😉 Given that they add 
> new information (at the very least to the scaling model) they are strictly 
> not “redundant”.
> The amount that anyone outside of methods development cares about the 
> “epsilon” multiplicity of reflections is … negligible?
> Sorry for chucking pragmatism into a dogmatic debate 😀
> Cheerio Graeme
> 
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