[tw] Re: An Aside: Learning Curves

2017-10-10 Thread Dave Gifford - http://www.giffmex.org/
Here is the precise source of the phrase:

Matthew 6.2-4

“So when you give to the needy, do not announce it with trumpets, as the 
hypocrites do in the synagogues and on the streets, to be honored by 
others. Truly I tell you, they have received their reward in full. 3 But 
when you give to the needy, *do not let your left hand know what your right 
hand is doing*, 4 so that your giving may be in secret. Then your Father, 
who sees what is done in secret, will reward you.

On Tuesday, October 10, 2017 at 10:04:47 AM UTC-4, Mark S. wrote:
>
> The common meaning of stuff happens when people guess at what a phrase 
> means. Eventually the common meaning becomes the effective meaning.
>
> The one that always bother me is "left hand doesn't know what the right 
> hand does"
>
> The original context of this saying was about giving. i.e. Give without 
> paying attention to how much.
>
> But today it's almost always used in the context of dysfunctional 
> government or organizations.
>
> Mark
>
> On Tuesday, October 10, 2017 at 3:09:30 AM UTC-7, @TiddlyTweeter wrote:
>>
>> Ciao David & others
>>
>> The discussion was interesting. I think I wasn't quite as explicit in my 
>> bits as I could have been. 
>>
>> The origin of "learning curve" dates back some time in psychology (1920's 
>> and before) when this kind of curve ...
>>
>>
>> ...meant you learnt quite fast at the start but eventually plateau.
>>
>> Sometime in the 1970's the idea of "steep learning curve" emerged that is 
>> metaphorically the opposite. That the "steepness is effort, not gain". That 
>> is NOT what the original research showed. 
>>
>> I'm interested sociologically and linguistically in the contradiction 
>> between the older (still relevant psychology) and the wider meaning the 
>> "steep" version adopted.
>>
>> Well, I did say it was an "aside" :-)
>>
>> Best wishes
>> Josiah
>>
>> Dave Gifford - http://www.giffmex.org/ wrote:
>>>
>>> Steep learning curve is fine if you know there will eventually be a 
>>> payoff worth the steep effort. But most newbies aren't sure it will be 
>>> worth the effort. 
>>>
>>
>

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[tw] Re: An Aside: Learning Curves

2017-10-10 Thread Lost Admin
I always wondered where that one came from.

On Tuesday, October 10, 2017 at 10:04:47 AM UTC-4, Mark S. wrote:
>
> The common meaning of stuff happens when people guess at what a phrase 
> means. Eventually the common meaning becomes the effective meaning.
>
> The one that always bother me is "left hand doesn't know what the right 
> hand does"
>
> The original context of this saying was about giving. i.e. Give without 
> paying attention to how much.
>
> But today it's almost always used in the context of dysfunctional 
> government or organizations.
>
> Mark
>
> On Tuesday, October 10, 2017 at 3:09:30 AM UTC-7, @TiddlyTweeter wrote:
>>
>> Ciao David & others
>>
>> The discussion was interesting. I think I wasn't quite as explicit in my 
>> bits as I could have been. 
>>
>> The origin of "learning curve" dates back some time in psychology (1920's 
>> and before) when this kind of curve ...
>>
>>
>> ...meant you learnt quite fast at the start but eventually plateau.
>>
>> Sometime in the 1970's the idea of "steep learning curve" emerged that is 
>> metaphorically the opposite. That the "steepness is effort, not gain". That 
>> is NOT what the original research showed. 
>>
>> I'm interested sociologically and linguistically in the contradiction 
>> between the older (still relevant psychology) and the wider meaning the 
>> "steep" version adopted.
>>
>> Well, I did say it was an "aside" :-)
>>
>> Best wishes
>> Josiah
>>
>> Dave Gifford - http://www.giffmex.org/ wrote:
>>>
>>> Steep learning curve is fine if you know there will eventually be a 
>>> payoff worth the steep effort. But most newbies aren't sure it will be 
>>> worth the effort. 
>>>
>>
>

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[tw] Re: An Aside: Learning Curves

2017-10-10 Thread @TiddlyTweeter
Ciao TonyM

I agree and disagree. 

I agree in the sense that "steep learning curve" has escaped, through 
modern usage, its connection with the 1920's psychologists "learning 
curves". 

I disagree in the sense that the modern usage of the term is any way 
compatible with the originating scholastic metaphors. That is WHY its 
interesting to me. Tensions like this say a lot about broader cultural 
CHANGE IMO.

Enough of this aside already. I'll shut up.

Josiah

TonyM wrote:
>
> Interesting, 
>
> I am not sure they are opposites.
>
>

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[tw] Re: An Aside: Learning Curves

2017-10-10 Thread TonyM
Interesting, 

I am not sure they are opposites.

perhaps It depends on why you are learning. If something has a steep learning 
curve wether it is quick and easy at the begining it still indicates the need 
to learn a lot. If I use a steep learning curve to indicate the amount of 
learning required regardless of its difficulty tge can be the same thing.

perhaps this is how the meaning migrated to its apparent opposite.

regards
tony

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[tw] Re: An Aside: Learning Curves

2017-10-10 Thread Dave Gifford - http://www.giffmex.org/
oh, I was not aware of that.

On Tuesday, October 10, 2017 at 6:09:30 AM UTC-4, @TiddlyTweeter wrote:
>
> Ciao David & others
>
> The discussion was interesting. I think I wasn't quite as explicit in my 
> bits as I could have been. 
>
> The origin of "learning curve" dates back some time in psychology (1920's 
> and before) when this kind of curve ...
>
>
> ...meant you learnt quite fast at the start but eventually plateau.
>
> Sometime in the 1970's the idea of "steep learning curve" emerged that is 
> metaphorically the opposite. That the "steepness is effort, not gain". That 
> is NOT what the original research showed. 
>
> I'm interested sociologically and linguistically in the contradiction 
> between the older (still relevant psychology) and the wider meaning the 
> "steep" version adopted.
>
> Well, I did say it was an "aside" :-)
>
> Best wishes
> Josiah
>
> Dave Gifford - http://www.giffmex.org/ wrote:
>>
>> Steep learning curve is fine if you know there will eventually be a 
>> payoff worth the steep effort. But most newbies aren't sure it will be 
>> worth the effort. 
>>
>

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[tw] Re: An Aside: Learning Curves

2017-10-10 Thread @TiddlyTweeter
Ciao David & others

The discussion was interesting. I think I wasn't quite as explicit in my 
bits as I could have been. 

The origin of "learning curve" dates back some time in psychology (1920's 
and before) when this kind of curve ...


...meant you learnt quite fast at the start but eventually plateau.

Sometime in the 1970's the idea of "steep learning curve" emerged that is 
metaphorically the opposite. That the "steepness is effort, not gain". That 
is NOT what the original research showed. 

I'm interested sociologically and linguistically in the contradiction 
between the older (still relevant psychology) and the wider meaning the 
"steep" version adopted.

Well, I did say it was an "aside" :-)

Best wishes
Josiah

Dave Gifford - http://www.giffmex.org/ wrote:
>
> Steep learning curve is fine if you know there will eventually be a payoff 
> worth the steep effort. But most newbies aren't sure it will be worth the 
> effort. 
>

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[tw] Re: An Aside: Learning Curves

2017-10-09 Thread Dave Gifford - http://www.giffmex.org/
Steep learning curve is fine if you know there will eventually be a payoff 
worth the steep effort. But most newbies aren't sure it will be worth the 
effort. Thus TiddlyWiki owes it to people to ease the learning curve as 
much as possible to get from novice to regular / intermediate user if it 
wants them to stick around. And it has to find ways to show them what they 
will be able to do when they get to that point.

Perhaps better language would be 'reducing friction points', new jargon 
that I am seeing in Pocket articles. Tiddlywiki has too many friction 
points up front. Hopefully that phrase could further the discussion?

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[tw] Re: An Aside: Learning Curves

2017-10-08 Thread TonyM
I am comfortable with "Learning Curve" and See no confusion.

To me its about the Journey, to Get some where, such as mastery of 
TiddlyWiki or a new Job.

The Area under the learning curve represents the amount of information you 
need to learn and the slope is determined how quickly you have to learn it. 
If you are climbing a steep learning curve it is a lot of work, If there 
was less to learn over a longer period it would be a walk in the park not a 
climb. 

So the two factors are the area under the curve (amount of Information) and 
the time available.

Sometimes the time available is impacted by the need of Emerson in the 
subject, meaning you can not extend the time to complete too far out or you 
will always be having to revise. Some projects like tiddlywiki demand a 
minimum learning curve "slope" that is quite steep.

If you don't give up in exhaustion, or by falling/rolling back down the 
slope you are progressing. Yes the steeper the slope the more knowledge you 
are gaining in a given period of time.

Climbing steep slopes archives a lot, has its pleasures like mountain 
climbing, is hard work and sometimes dangerous (could be wasted effort).

A Few steps (*appropriate* learning materials) would make it a lot easier.

Just my View of this metaphor.

Tony


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[tw] Re: An Aside: Learning Curves

2017-10-08 Thread @TiddlyTweeter
B, T & M.

I find it a really interesting trope. Your replies illustrate there is a 
visceral resonance in the phrase that gives it traction. Its used a lot. 
Yet as a stat "curve" it doesn't really make sense. It kinda got free of 
the math though--sort of transferred the upward curve into a kind of 
hill--even though that means on the curve "fast success" not "upward slog".

J.

Birthe wrote:
Rewards each step of the learning curve make TW users constantly hungry.

Thomas wrote:

> “Learning stairs” would be a great term! Rewards and new heights after 
> each step. 
>

Mark S. wrote:
>
> Imagine climbing a pile of books. The bigger the pile, the steeper the 
> hike to get on top.
>
 

> @TiddlyTweeter wrote:
>>
>> I never understood "steep learning curves".
>>
>

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[tw] Re: An Aside: Learning Curves

2017-10-08 Thread Thomas Elmiger
“Learning stairs” would be a great term! Rewards and new heights after each 
step. 

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