RadicalxChange ✓
@RadxChange · Global · joined 14 Nov 2018
Social movement for next-generation political economies. Official account of the RadicalxChange Foundation.
21 141Followers
1 219Following
4 577Posts total
20.6KViews on collected posts
Posts recentes
Procurando novos posts…
Plural Tech Meets Sydney's Density Dispute - https://t.co/CSr4NN5XcJ
697 views · 4 likes
· 2 reposts · 0 replies
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We first brought in 22 activists from both sides of the debate to help map the arguments, using https://t.co/XPMgSdXkwi, quadratic voting, and small group deliberations. Then 150 representative Sydneysiders tested what they produced. Most of it held, some of it near-unanimously.
477 views · 10 likes
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We partnered with AMPLIFY Australia to put ⿻ plural tech to the test on one of the most entrenched debates in Australian public life: Sydney's density fight. Beyond NIMBY vs YIMBY, what we found is that even the most engaged partisans hold conditions the other side can meet.
11.3K views · 29 likes
· 7 reposts · 1 replies
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A Salon on Reverse Alignment - https://t.co/GxgXS36y7Q
984 views · 4 likes
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Quadratic voting just went live at the federal level in Germany. 🇩🇪
@SPRIND collected 27,707 submissions from citizens about what should change in the country, and condensed them into 13 concrete priorities, with the responsible federal ministries on board.
Now the whole
1.4K views · 19 likes
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Listen to the full episode:
YouTube | https://t.co/bTvN4Uoql4
Spotify | https://t.co/RPt6pWMK02
Apple | https://t.co/EId24NAaAk
279 views · 2 likes
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For his national campaign, Anno used Model Context Protocol so citizens could just talk to an AI – no GitHub knowledge needed. The AI automatically generated pull requests.
This time: 10,000+ proposals. 100x more than his first campaign.
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Anno made everything open source. Politicians from other parties are already adopting his tools.
While many fear AI will undermine democracy, Anno proves it can make democracy more transparent, participatory and responsive.
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Anno also created "AI Anno," an avatar on YouTube Live that answered questions 24/7 (humans could only campaign 8am-8pm by law).
Citizens saw each other's questions. His team analyzed logs to identify and address common concerns.
54 views · 2 likes
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Anno's team published policies on GitHub and invited citizens to propose changes. They merged 80+ proposals, updating their 100-page manifesto like iterative software releases.
University researchers ranked his manifesto the highest among ALL candidates, despite Anno never
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🎙️NEW POD: FIXING BUGS IN DEMOCRACY
What if democracy worked more like open-source software?
@jessaroo speaks with @takahiroanno, an AI engineer and sci-fi writer who just won a seat in Japan's parliament. https://t.co/bTvN4Uoql4
5K views · 26 likes
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In July 2024, Anno ran for Tokyo Governor with zero political experience. He received 150K+ votes – unprecedented for a 30-something first-timer.
How he stood out: He treated his campaign like a GitHub project, accepting "pull requests" from citizens.
63 views · 2 likes
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Em comparação com contas do mesmo porte
4 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. alcance comum para o seu porte, reação mais fraca que a maioria.
Mediana de visualizações840esta conta924mediana para 10K–100K
Alcance, %3.98%esta conta3.62%mediana para 10K–100K
Engajamento, %0.89%esta conta1.52%mediana para 10K–100K
| Métrica | Esta conta | Mediana para 10K–100K | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 840 | 924 | 0.91× |
| Alcance (visualizações ÷ seguidores) | 3.98% | 3.62% | 1.10× |
| Taxa de engajamento | 0.89% | 1.52% | 0.58× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
6311 Nov
5K
57
54
274
53
279
1.4K7 Jul
9844 Aug
11.3K28 Aug
477
697
Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
4.76%11 Nov
0.74%
5.26%
5.56%
1.09%
5.66%
0.72%
1.98%7 Jul
0.91%4 Aug
0.42%28 Aug
2.31%
0.86%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes62.3%104 in total
Reposts15.6%26 in total
Replies5.4%9 in total
Quotes9.6%16 in total
Bookmarks7.2%12 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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