MacroMatrix

Madurai final Claude model verdict in 12 seats DMK - 8 NDA - 2 Remanning two it is toss it will go either TVK or NDA. DMK voter will decide that seats winner. @TVKVijayHQ #TVKVijay‌HQ #DMK #NDA #BJP #ADMK

@bharatha_93 I am running on Trichy region now. I will run this week bro. It will cost more analysis is only limited for week. If want to top up it will cost more than 12000 rupees. I will run as much I can in coming weeks.

@MacroMatrix1 Can you run the model for Virudhunagar constituency brother ? Just curious to check what AI predicts

Most awaited Trichy East Vijay is taking on very big heavy weight in that region. “Claude model” predicts Vijay is leading but it will be very tough fight it can go either way. You can read Claude analysis below why it will be very tough for Vijay. Why even bigger party like ADMK can’t able to win this seats. You will know real micro level politics. In cinema analogy, he is fighting on bigger don in that region. Still younger votes in that region fighting for Vijay to take lead. #TVKVijay‌HQ #TVKVijay‌ #DMK #ADMK #NDA @TVKVijayHQ

@Tsubasa_Yakuza Okay we will see.

Kolathur has 83,000 TVK members. Plus Vijay Makkal Mandram has a huge presence there and has been conducting various activities for more than a decade including Vilaiyila Virunthagam for more than 1000 days. Plus it's also home to a large number of cinema workers. I had seen 2 or 3 vox pop where TVK clearly had an edge. So, I'll reserve my judgment till results.

Kolathur Claude model predicted Stalin wins. Many might be wondering by seeing young crowd TVK will win in this seat. Model is showing some analysis based on past voting pattern history. In this seat more than 60% of people getting welfare from Stalin Govt and people will prefer more for star candidates than others. This is reality. But TVK surge is huge in this seat and pushing ADMK to third in first election is very big achievement. #TVKVijay‌ #TVKVijay‌HQ #Kolathur #Stalin #Vijay

@Devarjanv1 @Ayyappan_1504 No he mentioned annamalai is contesting in this seat. I said if he contest he will win.

@MacroMatrix1 @Ayyappan_1504 You are contradicting yourself in one msg stating that it will becake walk for Vanathi madam but in another message you stated that if he (Annamalaiji) contest he will win! What are you trying to say?

Annamalai is most likely to contest from Coimbatore North.

@kadhirvelavan Many young people who don’t know about politics comparing both Stalin & Vijay road show they are thinking TVK will win in Kolathur.

@MacroMatrix1 This is easy. Even i can say

@Devarjanv1 @Ayyappan_1504 Annamalai

@MacroMatrix1 @Ayyappan_1504 Who is that "he"?

@Devarjanv1 @Ayyappan_1504 If he contest he will have chance to win in that seat due to three way fight.

@MacroMatrix1 @Ayyappan_1504 அது அந்த அம்மா நினப்பு ஆனால் மேலிடம் வேறு மாதிரி நினக்கலாமில்ல!

@Harish24749455 @TVK_NewsTrichy @TVKVijayHQ It will give trend in every seats not accurate prediction.

@MacroMatrix1 @TVK_NewsTrichy @TVKVijayHQ Good one🔥

Perambur predicted by Claude. Yesterday I have mentioned this as well. Vijay will win this seats. Always people will vote more for star candidates. @TVKVijayHQ #TVKVijay‌HQ #DMK #Perambur

Below is the Claude response most of the people have asked how it will be predicted. Please note it will show trend in every seats not accurate prediction it can have error. 1. Why ML won’t work here: ∙TVK has ZERO electoral history no training data exists ∙You cannot train a supervised model without a target variable ∙Only 2 elections (2016, 2021) with current boundaries ∙not all constituency-level survey data exists to train on 2. What we actually built: ∙A vote transfer model — tracks where 2021 voters go in 2026 ∙DMK retains ~82% of 2021 vote, loses youth to TVK ∙AIADMK 2021 vote splits: ~55% stays NDA, ~10% goes TVK, ~5% goes DMK ∙MNM 2021 vote (~9.5% avg) transfers ~80% to TVK — this is TVK’s readymade base ∙New voters from turnout increase (60%→80%) split ~60% TVK, 25% DMK, 10% NDA 3. Data sources (all real, publicly verifiable): ∙2021 + 2016 ECI results for all 234 constituencies ∙CEO TN official district age-cohort data (38 districts × 8 age brackets) ∙50 independent vox pop sources totaling ~6,20,000 ground respondents ∙All candidate lists (DMK 164, AIADMK 169, BJP 27, TVK 234, NTK 234) ∙Alliance seat-sharing with transfer efficiency modeled per-party 4. What makes this model unique: ∙District-level age demography weighted by turnout assumptions (80%+ all ages) ∙Alliance transfer correction — when BJP/PMK/AMMK contests instead of AIADMK, NDA loses 3-8% ∙Star candidate personal vote adjustments calibrated from 2021 margins ∙Every seat has unique numbers no regional averaging 5. Validation approach: ∙Backtested against MNM 2021 as a new-party proxy — model correctly predicts MNM ~10% urban, ~3% rural, 0 seats ∙Cross-checked against all formal surveys and 50 vox pop independent sources ∙Two completely different methods (vote transfer model vs district-age-turnout model) converge on same result. This is Claude response of its model. It back tested this model against new entrant in TN election.

@MacroMatrix1 @TVK_NewsTrichy @TVKVijayHQ What model are you using and what data?

I think if Vijay have campaign all constituencies it might have more effect on this election. Especially in rural areas it might have helped to convert few seats. Unfortunately it is too late for him. Politics is different in ground reality and in micro level every constituencies there are some big heavy weight is there from both the big party. If you have seen my earlier post from Claude model madurai prediction you might understand how difficult to win single seats. At least he can focus on Urban cities and try to convert into some seats. #TVKVijay‌ #TVKVijay‌HQ @TVKVijayHQ

Below is the Claude response most of the people have asked how it will be predicted. Please note it will show trend in every seats not accurate prediction it can have error. 1. Why ML won’t work here: ∙TVK has ZERO electoral history no training data exists ∙You cannot train a supervised model without a target variable ∙Only 2 elections (2016, 2021) with current boundaries ∙not all constituency-level survey data exists to train on 2. What we actually built: ∙A vote transfer model — tracks where 2021 voters go in 2026 ∙DMK retains ~82% of 2021 vote, loses youth to TVK ∙AIADMK 2021 vote splits: ~55% stays NDA, ~10% goes TVK, ~5% goes DMK ∙MNM 2021 vote (~9.5% avg) transfers ~80% to TVK — this is TVK’s readymade base ∙New voters from turnout increase (60%→80%) split ~60% TVK, 25% DMK, 10% NDA 3. Data sources (all real, publicly verifiable): ∙2021 + 2016 ECI results for all 234 constituencies ∙CEO TN official district age-cohort data (38 districts × 8 age brackets) ∙50 independent vox pop sources totaling ~6,20,000 ground respondents ∙All candidate lists (DMK 164, AIADMK 169, BJP 27, TVK 234, NTK 234) ∙Alliance seat-sharing with transfer efficiency modeled per-party 4. What makes this model unique: ∙District-level age demography weighted by turnout assumptions (80%+ all ages) ∙Alliance transfer correction — when BJP/PMK/AMMK contests instead of AIADMK, NDA loses 3-8% ∙Star candidate personal vote adjustments calibrated from 2021 margins ∙Every seat has unique numbers no regional averaging 5. Validation approach: ∙Backtested against MNM 2021 as a new-party proxy — model correctly predicts MNM ~10% urban, ~3% rural, 0 seats ∙Cross-checked against all formal surveys and 50 vox pop independent sources ∙Two completely different methods (vote transfer model vs district-age-turnout model) converge on same result. This is Claude response of its model. It back tested this model against new entrant in TN election.

@MacroMatrix1 Can you explain how this model works

Madurai South Claude model is predicting it is three way fight and slight edge to TVK due to DMK ally weakness. Watch out for this seat. #TVKVijay‌HQ #DMK #BJP #ADMK #NDA #MDMK #TNElection2026

@vetriox03 @georgeviews Claude Opus 4.6 model

@MacroMatrix1 @georgeviews Which app is this?

Mark my words. The combined votes of DMK's R. D. Shekar and PMK's Thilagabama would still fall way short of Thalapathy Vijay's votes in Perambur! He is heading for a historic win. 🧨

@Ahmedshabbir20 This model is before alliance consider if DMK symbol stand there. Now it will be going to be tough fight for VCK vs TVK.

VCK Chief Thirumavalavan MP to contest from Kattumannarkoil constituency.

Below is the Claude response most of the people have asked how it will be predicted. Please note it will show trend in every seats not accurate prediction it can have error. 1. Why ML won’t work here: ∙TVK has ZERO electoral history no training data exists ∙You cannot train a supervised model without a target variable ∙Only 2 elections (2016, 2021) with current boundaries ∙not all constituency-level survey data exists to train on 2. What we actually built: ∙A vote transfer model — tracks where 2021 voters go in 2026 ∙DMK retains ~82% of 2021 vote, loses youth to TVK ∙AIADMK 2021 vote splits: ~55% stays NDA, ~10% goes TVK, ~5% goes DMK ∙MNM 2021 vote (~9.5% avg) transfers ~80% to TVK — this is TVK’s readymade base ∙New voters from turnout increase (60%→80%) split ~60% TVK, 25% DMK, 10% NDA 3. Data sources (all real, publicly verifiable): ∙2021 + 2016 ECI results for all 234 constituencies ∙CEO TN official district age-cohort data (38 districts × 8 age brackets) ∙50 independent vox pop sources totaling ~6,20,000 ground respondents ∙All candidate lists (DMK 164, AIADMK 169, BJP 27, TVK 234, NTK 234) ∙Alliance seat-sharing with transfer efficiency modeled per-party 4. What makes this model unique: ∙District-level age demography weighted by turnout assumptions (80%+ all ages) ∙Alliance transfer correction — when BJP/PMK/AMMK contests instead of AIADMK, NDA loses 3-8% ∙Star candidate personal vote adjustments calibrated from 2021 margins ∙Every seat has unique numbers no regional averaging 5. Validation approach: ∙Backtested against MNM 2021 as a new-party proxy — model correctly predicts MNM ~10% urban, ~3% rural, 0 seats ∙Cross-checked against all formal surveys and 50 vox pop independent sources ∙Two completely different methods (vote transfer model vs district-age-turnout model) converge on same result. This is Claude response of its model. It back tested this model against new entrant in TN election.

@MacroMatrix1 @VinothTvk06 Hello, I have a curious question: What data sources does your model analyze? For example, does it use X (Twitter), Facebook, Instagram, or other social media platforms?

Final kongu region Claude model predicts DMK - 7 NDA- 18 TVK-4 More than 6-8 seats can go for toss to other party., Most of the seats are very close fight. #TVKVijay‌HQ #DMK #ADMK #BJP #TNElection2026

You are right but it will happen in urban cities. Every region is very different and TN is most polarised state election in India. You can see my Madurai seat predcition what Claude is finding out and how every party is selecting candidates. In every seats both two parties have some big heavy weight. That is why even after huge anti incumbency ADMK scored 60+ seats. You will understand the dynamics of politics how it will work.

@MacroMatrix1 It is not about gen-z vote they are the influencers in their family they might convert minimum 1 member in their family that's what he covers them

Today’s Vijay speech in Perambur he mentioned GenZ and youngster. Even my Claude model shows that he is gaining more vote share in younger section. If younger section turn out comes more for this election, little 2-3% can swing some seats to TVK favour in urban cities. He knows his data where vote is coming from. @TVKVijayHQ #TVK #TVKVijay‌HQ

@DevanandRaghul Sure this is predictive mode just shows the trend not accurate prediction. To minimise error in estimation need crore of money to get some what accurate prediction.

@MacroMatrix1 Oh thanks much ur model is the most interesting one and different among others so excited too see the results

@AlthafShaikh7 @TVKVijayHQ I have mentioned to more than 50 people bro. Check my past replies I might have pasted the Claude response to this question.

@MacroMatrix1 @TVKVijayHQ Just curious what kind of data are you using to build this model and prediction