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#11
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If you're happy spending several hours doing nothing other than staring at a mob waiting for it to break, drop Feressa a tell in the game. But it is pretty boring [You must be logged in to view images. Log in or Register.]
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Green: Feressa | ||||
#12
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#13
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![]() RED99
Its 50/50, either it breaks or it doesnt. RED99 | ||
#14
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https://github.com/EQEmu/Server/blob...ells.cpp#L5542 Quote:
The reason why charm duration is still a normal distribition is because each tick simply rolls a dice to see if you succeed or fail the charm resist check. The dice roll success threshold is adjusted based on level difference and MR. The reason why you see the highest charm rate in the first 30 seconds is probably related to the EQEMU comment for charisma checks. It says Charisma is used for the initial resist check only. Here is the comment in the EQEMU code for charisma checks on spell resists: https://github.com/EQEmu/Server/blob...ells.cpp#L5469 Quote:
I did a weapon DPS calculator using the EQEMU codebase recently: https://www.project1999.com/forums/s...0&postcount=41 And the results closely match P99 parses. This shows that the EQEMU code can still closely resemble the P99 code. They don't need to completely rework the EQEMU code for P99. I'd be willing to wager most of the P99 code changes in the P99 codebase are related to adjusting code/variables based on what patch the server is on. They probably don't have sweeping changes to the EQEMU base code.
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Last edited by DeathsSilkyMist; 04-15-2025 at 02:10 PM..
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#15
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![]() On an off topic note, the charisma check comment:
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If this is on P99, it means Enchanters have a resist penatly when using Fear with their CHA gear on.
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Last edited by DeathsSilkyMist; 04-15-2025 at 02:56 PM..
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#17
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I've been thinking about this lately and in my 50s I think I got a single color slant resist and maybe also one mesmerization resist? Not 100% sure, I could swear it happened but it is VERY rare if even possible and those mobs aren't always tashed. But now that I think of it, it also has been a LONG time since I got a nuke or slow resist. Unless I get a crit fail on lull I usually tash everything to make root more stable and lessen the odds of getting a simultaneous root+charm break. I feel like except for charm, the last tash you get in your mid 50s really makes almost everything land for most of the exp trash but then again you're fighting mobs 10-17 levels below you so it is hard to know what does what. Lull on the other hand... been getting fewer crit resists as levels go up but regular resists are still quite common. | ||||
#18
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(200-75)/10=12.5 (55/10)/2= 2.75 The last 55cha would be about -2.5 resist, which isn't much but I guess it matters when it is the difference between killing a named or getting harm touched by an entire room. As for fear as an enchanter, I bought them all and I never casted one. Can't comment on that one. I can see situations where it would be useful but those are some edge cases. | |||
#19
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![]() Would be interesting to compare necro charm vs enchanter
Say 50 charms of the same mob each and compare durations. Maybe do it untashed to keep the mr equal. | ||
#20
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![]() You can tell by looking at a graph of a normal distribution or an exponential distribution what better fits your data. A normal distribution looks like the familiar bell curve everyone knows. An exponential distribution has a peak at the minimum value and swoops down in a curve till there's fewer and fewer at higher values. The two graphs are attached. It's clear that when looking at the provided histogram of charm duration, the exponential distribution is a better fit to the data.
Looking at these graphs also shows why the average is meaningless for data that looks like the second graph. The average is going to be a vertical line placed on the graph such that the area under the curve on the left half is the same as the right half. For a normal distribution it's obviously going to be at the top peak of the bell curve, and that's exactly why it's useful there: you know that most of the data is going to be close to the average value, and the variance tells you exactly how close. Looking at the exponential graph also demonstrates why the average isn't very useful in this case. You can place a line that marks the average, but it's not going to tell you anything useful. Assuming you're dealing with a system that has a set chance to break charm every tick, you want to find what that set chance is, and what if anything modifies that chance. The average value doesn't help with that. charleski, in your results you report a "p charm success per tick" value. How is this calculated? Is it the same as p-hat (charm breaks / total ticks)? Given your discussion of MR and the challenges with handling tash wearing off, were all the data collected without using tash? Are you calculating total ticks for each charm as something like total charm duration in seconds / 6, rounded down? I'm sure I can answer these questions by looking at the code, but haven't had a chance to do that yet. | ||
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