Introduction

Voting is one of the most widely used examples to highlight the potential of distributed ledger technologies like blockchain and smart contracts. The use case of voting is one that is ideally aligned with the distinctive capabilities offered by blockchain technology.

In the current dashboard I'm trying to investigate the period between May 8th and May 13th, which was a busy week for Osmosis governance, to find:

• What was the community response like to these proposals?

• How quickly did these proposals hit quorum compared to the last two months of proposals?

• What was the voter turnout for these proposals vs the last two months of proposals?

Deffinitions

In this dashboard, the title of proposals is described as the same as below, based on their number:

• '218' ===>> 'Signalling Proposal for Incentivized Canonical USDC pool'

• '219' ===>> 'Make Osmosis the Co-Lead Sponsor of Cosmoverse 2022'

• '220' ===>> 'Match PSTAKE External Incentives for Pools #648'

• '221' ===>> 'Semi-Automatic Incentive Adjustments for 05/08/2022'

• '222' ===>> 'Reallocate half of the Incentives on OSMO/UST (#560) to OSMO/USDC (#678)'

• '223' ===>> 'Reallocate half of the Incentives on OSMO/LUNA (#561) to OSMO/ETH (#704) & approve the pool for Osmosis incentives'

• '224' ===>> 'Reallocate half of the Incentives on LUNA/UST (#562) to OSMO/DAI (#674) & approve the pool for Osmosis incentives'

• '225' ===>> 'Use Hardfork to Accelerate Proposals #222, #223, and #224'

• '226' ===>> 'Add functionality to allow depooling of UST pools via emergency upgrade hard fork in proposal #225'

Analysis

Observation

• The evaluation of the ideas is presented in the above chart, which is organized according to the number and percentage share of participants.

Conclusion

• The above chart presents an analysis of the proposals with respect to the different types of votes cast for them and the amount of votes cast in each category.

Next Pie graph

The following Pie chart presents an analysis of the proposals that was carried out based on the categories of votes that were cast for them as well as the number of votes cast in each category expressed as a percentage.

Discord: 0xHaM☰d#8391

Observation

The last graph examines the proposals based on the voting time by hour, with votes cast before May 8 shown in blue and votes cast after May 8 for a week shown in orange.

Next chart

The following chart displays the ideas in accordance with the number of people who participated in the voting prior to May 8 (in blue) and after May 8 (in orange) for a period of one week.

Findings

This dashboard displays our findings from an investigation on how the government responded to Terra, which can be accessed here. As a direct consequence of this inquiry, nine different propositions were being taken into consideration throughout the week of May 8th to May 13th. The highest possible participation rate in this proposal was 58 percent, and it was for 221 - Semi-Automatic Incentive Adjustments for 05/08/2022. With only 16 hours left to cast a vote, the proposals with the fastest voting results were the Signaling Proposal for Incentivized Canonical USDC pool and the Semi-Automatic Incentive Adjustments for 05/08/2022. These two proposals each received the most votes for 13.8 percent of the 9 proposals that were evaluated the most thoroughly. One or all of these propositions received the most votes in the shortest amount of time. Although 93.6% of eligible voters participated in the election, only around 3% of the ballots cast were considered to be valid votes. The participation rate, on the other hand, was approximately 93% of the time. The participation rate was a component that was included. Despite the fact that we only had a week's worth of data to work with, the voting was completed far more rapidly than it had been during the prior two months. For instance, after twenty-four hours of voting, we see a quicker conclusion to the process. In comparison to two months ago, when we had 223 hours of voting, voter participation in the most recent two weeks has decreased, although it was higher in the two months prior to that comparison.