Doer
Marauder
- Joined
- Nov 29, 2005
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- David "Doer" Falkayn
I have been trying out a couple of the uber scanners (ES400 and ES500) through the H&R COT rental service, and used the opportunity to study the ratio of skills gained by performing a specific profession.
The advantage of using scanning for this test is that very few other professions are overlapping, especially in actions performed during the time of the scanning. Another advantage was that i had nearly zero skill in most of the contributors at the start (exceptions: ~200 scan robot, a lot of perception, and some mechanics and electronics from crafting).
We see from Jimmy's thread that the Robot Investigator profession is comprised of these skills:
Presumably Scientist makes up the final 4% contribution.
I have tracked each of these skills during the scanning sessions and then calculated the skill volume change (in tt) to compare. Here are the percentages of the total tt skill gain for the profession for each of those skills (vs the % contribution):
I have left out Robotology and Intelligence because i don't have Robotology unlocked and there is currently no known mapping from levels of attributes to volume. The correlation isn't very good: all of the gains were a higher % of the total, but there is something to consider here: the distribution is different because of the locked skills. If i count intelligence, there are only 88% of 100% accounted for. If i don't count intelligence, there is 86% accounted for. Therefore, there should actually be 113.6% or 116.3% greater gain than the original unmodified % account for.
Let's see how the numbers look when we adjust for these two possibilities:
It's impossible to state whether attributes represent a normal portion of the tt skills awarded or not. However, it is interesting to see that the skills are gained in very nearly the proportions that they contribute.
I will update this thread with my results from the next scanning session to see if there's an obvious slowdown in the gains of the highest level skills compared to the lower-leveled skills.
Edit: After the second session there's no sign that the skill gains slow down according to their own levels.
The advantage of using scanning for this test is that very few other professions are overlapping, especially in actions performed during the time of the scanning. Another advantage was that i had nearly zero skill in most of the contributors at the start (exceptions: ~200 scan robot, a lot of perception, and some mechanics and electronics from crafting).
We see from Jimmy's thread that the Robot Investigator profession is comprised of these skills:
Code:
Intelligence 2.0
Perception 5.0
Probing 8.0
Scan Robot 50.0
Analysis 10.0
Computer 5.0
Electronics 5.0
Mechanics 3.0
Robotology 8.0 (unlocked at level 30)
Total sum: 96.0
Presumably Scientist makes up the final 4% contribution.
I have tracked each of these skills during the scanning sessions and then calculated the skill volume change (in tt) to compare. Here are the percentages of the total tt skill gain for the profession for each of those skills (vs the % contribution):
Code:
%tt gain % contribution
1st 2nd
6.5% 6.3% 5%
9.1% 9.5% 8%
57.6% 57.2% 50%
11.4% 12.1% 10%
6.0% 5.5% 5%
5.9% 5.6% 5%
3.6% 3.7% 3%
Let's see how the numbers look when we adjust for these two possibilities:
Code:
gain%(1|2) 88% 86% % skill contribution
6.5 6.3 5.68 5.82 5 -- (Perc was also gained from hunting)
9.1 9.5 9.09 9.30 8
57.6 57.2 56.8 58.2 50
11.4 12.1 11.4 11.6 10
6.0 5.5 5.68 5.82 5
5.9 5.6 5.68 5.82 5
3.6 3.7 3.41 3.49 3
It's impossible to state whether attributes represent a normal portion of the tt skills awarded or not. However, it is interesting to see that the skills are gained in very nearly the proportions that they contribute.
I will update this thread with my results from the next scanning session to see if there's an obvious slowdown in the gains of the highest level skills compared to the lower-leveled skills.
Edit: After the second session there's no sign that the skill gains slow down according to their own levels.
Last edited: