Timeline for What affects confirmation rate, and how can it be improved?
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
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| May 4, 2018 at 17:26 | answer | added | user1710 | timeline score: 1 | |
| May 3, 2018 at 21:22 | answer | added | Bayequentist | timeline score: 1 | |
| S Mar 20, 2018 at 18:52 | history | suggested | blockmined |
Added confirmation tag
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| Mar 20, 2018 at 15:26 | review | Suggested edits | |||
| S Mar 20, 2018 at 18:52 | |||||
| Mar 20, 2018 at 13:04 | comment | added | Jason Kim | One thing that has generally improved confirmation rates is increasing the frequency of milestones. | |
| Dec 21, 2017 at 23:36 | comment | added | mihi♦ | @Phil-ZXX you can see raw confirmation rates (for the last few minutes) on analytics.iotaledger.net/stresstest.table. Keep in mind that this will include all transactions, even invalid and duplicate ones (which can never get confirmed). But 40% is definitely low, considering that iota had around 90% earlier. | |
| Dec 21, 2017 at 17:56 | comment | added | aboose♦ | I don't have a formal source, I'm going off of what devs and admins on slack have said. I will try to follow up. | |
| Dec 21, 2017 at 17:55 | comment | added | Phil-ZXX | What is your source? And would be interesting to see how that "confirmation rate" is defined exactly (e.g. are spam tx counted, are invalid tx counted, how are re-attached tx treated, etc). | |
| Dec 21, 2017 at 17:37 | history | asked | aboose♦ | CC BY-SA 3.0 |