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Stellaris >  Workshop > Workshop de FGRaptor > [OUTDATED / OBSOLETE] Anomaly Minimum Fail Chance 0% - FGRaptor
[OUTDATED / OBSOLETE] Anomaly Minimum Fail Chance 0% - FGRaptor
Descripción Discusiones2 Comentarios15 Notas sobre cambios
15 comentarios
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FGRaptor  [autor] 18 OCT 2018 a las 9:02 
This mod is obsolete, as anomaly fail chance was removed. The mod won't be updated anymore.
TechSY730 31 MAY 2018 a las 17:29 
As of 2.1, anomolies don't use a chance based system anymore, so this mod is obsolete.
guardian1368 1 MAY 2018 a las 0:32 
can you update please its a great mod
vamware 18 ABR 2018 a las 22:44 
why do they keep fracking it up, needs up dating again
𐩸 18 ABR 2018 a las 7:36 
Version 2.0.3 is out so you should change the version number to that or 2.0.x
FGRaptor  [autor] 6 ABR 2018 a las 8:07 
@Zygrus
I would need to look into that, I don't think the vanilla system supports that, so I would have to make a custom solution.
Zygus 6 ABR 2018 a las 1:35 
For a more vanilla balanced approach with same end results, could make it need a larger reduction to get rid of the last 5%. So if you have -15% over what you need to get it to 5%, then it's 0%.
𐩸 4 ABR 2018 a las 9:42 
Thanks :)
FGRaptor  [autor] 4 ABR 2018 a las 9:40 
Updated for v2.0.2
If you notice any problems, let me know in the Bug subforum
𐩸 3 ABR 2018 a las 12:18 
Would it be possible to change the version number to 2.0.x or 2.0.* so it is recogniced by the launcher as a fully updated mod?
vamware 2 ABR 2018 a las 14:41 
needs to be updated
Peter34 27 FEB 2018 a las 12:11 
The 0% exception that I’m aware of is Terraforming Candidate.
ShardTooth 27 FEB 2018 a las 5:04 
@sodacactus there are a few that have a 0% like the pre-sapient on planet ones but for the most part the coded a minimum chance to fail on most of them, i agree with the mod author, losing a lvl 5 scientist to a botched lvl 1 anomaly is ridiculous
sodcactus 27 FEB 2018 a las 0:28 
But isn't that already in the vanilla game? I had several anomalies with 0% chance of failing in 2.0
Peter34 26 FEB 2018 a las 14:26 
Why not a more nuanced approach?