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Yeah, right! I think that probably counts as "documentation" and no bugger does that these days! 
"I have no idea what I did, but I'm taking full credit for it." - ThisOldTony
"Common sense is so rare these days, it should be classified as a super power" - Random T-shirt
AntiTwitter: @DalekDave is now a follower!
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I do know that I can.
But the protector deletion "red X" is a different button, the standard "delete" widget is greyscaled as "not allowed" as Bruno says.
I would have said before I could still "delete" my own messages, but doing it would only delete the content. Now, I can't even click it.
M.D.V. 
If something has a solution... Why do we have to worry about?. If it has no solution... For what reason do we have to worry about?
Help me to understand what I'm saying, and I'll explain it better to you
Rating helpful answers is nice, but saying thanks can be even nicer.
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OriginalGriff wrote: @Nelek is a Protector
Protector[^]?
Software Zen: delete this;
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Yep. Hadn't you noticed the leathery skin, swollen joints, and so forth - or did you think that was just the Spanish sun?
"I have no idea what I did, but I'm taking full credit for it." - ThisOldTony
"Common sense is so rare these days, it should be classified as a super power" - Random T-shirt
AntiTwitter: @DalekDave is now a follower!
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OriginalGriff wrote: or did you think that was just the Spanish sun?
Not anymore for me... haven't been back since Corona started 
M.D.V.
If something has a solution... Why do we have to worry about?. If it has no solution... For what reason do we have to worry about?
Help me to understand what I'm saying, and I'll explain it better to you
Rating helpful answers is nice, but saying thanks can be even nicer.
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You are right, the standard "delete" is greyscaled and not clickable.
I would have bet that before I could still use the widget, but without really removing the message.
M.D.V. 
If something has a solution... Why do we have to worry about?. If it has no solution... For what reason do we have to worry about?
Help me to understand what I'm saying, and I'll explain it better to you
Rating helpful answers is nice, but saying thanks can be even nicer.
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And this is specific for the Lounge I think. It is different for 'B&S' and also for 'Spam and Abuse Watch'. Did not verified that in all the other sections like 'discussions' etc.
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0x01AA wrote: And this is specific for the Lounge I think. It is different for 'B&S' and also for 'Spam and Abuse Watch'.
"Spam and Abuse" = same behaviour as here.
"Delete" in not answered == active
"Delete" in answered message == not active.
M.D.V.
If something has a solution... Why do we have to worry about?. If it has no solution... For what reason do we have to worry about?
Help me to understand what I'm saying, and I'll explain it better to you
Rating helpful answers is nice, but saying thanks can be even nicer.
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Here, please.
"These people looked deep within my soul and assigned me a number based on the order in which I joined."
- Homer
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M.D.V.
If something has a solution... Why do we have to worry about?. If it has no solution... For what reason do we have to worry about?
Help me to understand what I'm saying, and I'll explain it better to you
Rating helpful answers is nice, but saying thanks can be even nicer.
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Most married women, even those working outside of the home, view keeping their husbands in line, as their primary job.
The rest are happily married.
Misogynistic, perhaps. But true anyway.
ed
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anonymous: Marriage is a relationship where one person is always right and the other person is the husband.
Marry a short woman and keep your guns on a high shelf.
>64
If you can keep your head while those about you are losing theirs, perhaps you don't understand the situation.
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Someone once pointed out to me that 50% of all marriages end up in divorce...but that 100% of all divorces started with marriage.
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I married a short woman, and I don't have any guns, but she still terrifies me
ed
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Me too, been doing it for over 60 years.
Finally learned success: "Yes dear"
>64
If you can keep your head while those about you are losing theirs, perhaps you don't understand the situation.
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I have a short aunt who said "I don't care if I have to climb up a ladder, I'll still slap him on the head!"
She said that about my cousin when he grew up to be 2m tall, but she'd undoubtedly do the same to her husband if he ever gave her reason to (he's smart enough not to).
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I married “Miss Right”.
Quickly found out her first name was “Always”
If you can't laugh at yourself - ask me and I will do it for you.
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Is your wife happily married?
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That's not just married women.
Bastard Programmer from Hell 
"If you just follow the bacon Eddy, wherever it leads you, then you won't have to think about politics." -- Some Bell.
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All husbands need to remember these 2 things:
0) Happy wife, happy life!
1) You can either be right, or you can be happy.
Kelly Herald
Software Developer
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Hi,
I just stumbled on something and thought I would share it. A while back I mentioned that I was working on a CCC analyzer/solver in my spare time, it's a side project and I haven't finished it. Since I will have some free time towards the end of this year I am picking up the project again. As part of my project I am analyzing the crossword puzzles using a skip-gram word-embedding with over 2 trillion tokens (3M vocab) evaluated in 500 dimensions. The embedding is trained from parts of the English Gigaword corpus, the wikipedia dump and most of the news/science articles from 2011-2017. (Yes, alot of data!)
One of my unit tests checks the 100 common nouns in the English language for certain characteristics.
[Top 10 correlations for Government]
governments 0.723813
minister 0.618532
administration 0.60618
federal 0.595554
governmental 0.587466
cabinet 0.584909
public 0.583068
ministry 0.579487
officials 0.572555
whitlam 0.565244
I like to think that I have a good grasp of the English language. However last night I noticed something that stood out, I saw a word relation that seemed unusual. The word 'Whitlam' was showing up as being very highly related to the word 'government'. I'd never heard of that word before so I looked up the definition. It's not a word, it's a persons name but how could the world's population of 7.9 billion use this word at such a high frequency under the context of 'government'.
The spearman[^] and pearson correlation[^] was so high... it could only mean that the word was being used directly next to the word 'government'. So I needed to find out how this bias has occured and where it was coming from. Then I found it, Whitlam Government[^], there are 434 articles on wikipedia[^] with this phrase. A quick investigation shows that there are over 80,000 indexed web pages using this phrase.
Interesting situation... since I have historic wikipedia dumps and also news articles from prior years I can look for this bias in prior years. I generated an embedding representing the year 2013 and 'Whitlam' scores much much lower. So it seems people are using this phrase much more today that in years past.
So this got me thinking... potentially as an offensive IW attack against NationY that is known to be using NLP to study TopicX it should be quite easy to distort and manipulate the outcome. In fact, you can easily calculate just how many words/articles would be needed to increase the rank/correlation.
As a defensive measure, it should be quite easy to monitor (from an omniscient internet viewpoint) words and phrases being used by the population that begin to deviate away from the current Zipfian distribution[^].
Wikipedia is not a reliable data source, I would recommend avoiding it for important NLP research.
Best Wishes,
-David Delaune
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Wikipedia also needs to be heavily faded for anything that involves political opinion.
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Anything using text as source is hard to process 
I never worked directly with any of that, and frankly I didn't understand any of the more technical terms (zipfian?!?  ), but I did work once on a project with people that did and I caught a few things (hopefully correctly).
From what they explained at the time, if my memory is working correctly, they filtered those kind of "temporarily important information" using normalization, word appearance rate and a temporal sliding window. As I remember, the algorithm was something like: for a certain period of time (the temporal sliding window) calculate the increase/decrease rate in count of the target word (word appearance rate) compared to a previous period and inversely affect the normalization (if count increases it has a negative effect on the total count and the faster the growth the bigger the impact). Then move the time window forward and repeat.
What happened was that spikes in words due to temporary increase of usage (example due to news articles) were smoothed out while at the same time the overall count of the word would not grow significantly.
I hope I made some sense and that I did not just wrote something that is a complete lie.
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