A few months ago the great @AkankshaCh50293 put out a forecast for the West Bengal Election based on Silicon Samples that ended up being off -- it turns out, we found a bug in her code !
After fixing, our silicon sample *would have been* the least-wrong “poll”, correctly observing a massive swing in favour of the NDA.
She has updated her blog post below to describe the error, and show what happens after fixing. We look forward to re-applying our methodology to the upcoming state elections this coming year !
https://t.co/yq0jYMJBll
Fortunately, there are plenty of elections in the world’s largest democracy coming up next year, including a very important one in India’s largest state of Uttar Pradesh -- @AkankshaCh50293 and I will be back with a more robust strategy for those ! Stay tuned ... 4/4
Excited to share that I will be presenting in @WCEurope 2026 in Krakow, Poland!
WordPress for scientists: building engineering websites at CERN https://t.co/FM8ptmVrNx
(this will also be the first conference I will attend)
Will her forecast prove correct ? It’s difficult to tell, as this has never been attempted before and the ability of Sarvam to ‘reason’ like a WB voter is an open question.
Her effort presents a novel methodology for “silicon sampling" in difficult-to-poll parts of the world.
‼️📢New Blog 🤖
Can an AI Poll Predict the Winner in the West Bengal Election ?
Absolutely phenomenal piece of work by my UvA CSSci student Akanksha, who uses LLMs to simulate the West Bengal electorate, mixing traditional survey science with SoTA AI:
https://t.co/SDSWKCnKlE