@tovarischrex Have you ever organised any political events in cities? Basic calculation of hourly rents and cost of accommodation can make you understand this.
@abhinav_surya24 @kokki_dude -Methodological flaws,
-Uneven sampling,
-Cultural variances in marriage systems,
-And lack of contextual indicators like education, gender mobility, urban - rural indicators
The whole data is skewed with ext-poor analysis. L
@abhinav_surya24 @kokki_dude Mr.Surya. I am trying to convey the same thing.
The number of samples taken for TN is higher than the samples from other states, which ultimately causes a denominator bias. I have mentioned about the uneven sampling in my previous comments.
@kokki_dude @abhinav_surya24 What's there to attack or insult? I calmly pointed out the issues in that flawed paper. There are multiple ways to attack DMK. But, this is a very weak data with very less samples.
@abhinav_surya24 @kokki_dude And what could possibly explain Uttar Pradesh showing better intercaste marriage rates? This is exactly where empiricism falls short—merely interpreting surface-level data through a narrow positivist lens, without accounting for deeper social realities.
@abhinav_surya24 @kokki_dude Mr. Surya. Please mind your language. Can't you see the uneven sample ranges? And that too, a very minuscule data for a huge Indian population. Why can't you comment on the uneven samples in the document?
@noincomenotax I have no sympathies for DMK. I am a Marxist-Leninist. There are numerous ways to scrutinise DMK. But, you have got only this dumb data interpretation.
@noincomenotax Dude, what are you even talking:
-Methodological flaws,
-Uneven sampling,
-Cultural variances in marriage systems,
-And lack of contextual indicators like education, gender mobility, urban - rural indicators
The whole data is skewed with ext-poor analysis.