They lost their husbands to tigers of the Sundarbans. For the women known as bagh bidhobas or tiger widows, losing a husband to the forest is only the beginning of a life shaped by poverty, isolation and a stigma their communities still struggle to understand.
I went to Shyamnagar to count things. Household income. Landholding. How far the salt had crept up the tube wells. How many months of the year a family sits down to two meals instead of three. We had a questionnaire, a schedule, and three days, and nowhere on that schedule was there a line for the widows.
I heard about them the way you hear most things on the coast, sideways. The man steering the engine boat said, without turning round, that the neighbourhood ahead was where the “bagh bidhobas” lived.
My friend asked what it meant. He answered the way a farmer names a crop. Tiger widows. Women whose husbands went into the Sundarbans and did not come back.
The boat kept going, and the talk moved on to lunch, and I sat with the phrase turning over until I asked the others whether we could stop.
I have not stopped thinking about that detour since.
Anjali Rani Das received us on a plinth of packed earth outside a tin-walled room. She told the story without decoration, which is how I understood how many times she had told it.
She had gone into the forest with her husband and her brother, the way “Mawali” families do, cutting combs from the branches and carrying them out before the light went. The tiger took the two men. She climbed a tree.
“Seeing your husband and brother treated like toys, ripped to shreds while they scream, is something you can never forget,” said Anjali, her eyes staring emptily.
That is the entire account.
She stayed up there while it happened below her. She did not describe what she heard, and I did not ask. Nobody on our team could think of a follow-up question, so for a while there was only a hen scratching at the edge of the yard and a child being called in from somewhere behind the house, and Anjali waiting for us to be finished with her.
The village had settled on an explanation long before she walked home, and the explanation had nothing to do with the tiger. In this belt, a man taken by a tiger is not a death at work. It is a verdict.
Bonbibi, who guards the forest, withheld her protection, and people trace the fault back through the trees, along the creek, into the yard where the woman had been waiting. “Swami kheko,” they say. Husband eater, ill-omened, and they seat her apart at weddings so that whatever she carries does not reach the bride.
I asked Anjali Das what changed after the attack. She did not talk about money. She talked about who stopped visiting.
A few doors along, Mst. Aklima has lived in the same para for 15 years. Aklima is Muslim and Anjali is Hindu, and the para has the same perspective for both. Her husband went into the forest, and the rest of her life rearranged itself around his absence.
The suspicion does not pause to ask anyone's religion. Both women inherit the same thinned-out guest list, the same difficulty in marrying again, and the same trouble finding a household willing to take a daughter whose mother is thought to be unlucky.
Anjali flinches at the forest. She will not go back in. She has arranged five years around not going back in, and where crab, honey, and fish are the only work available, that means arranging a life around hunger.
Others in the para told us about women who wake in the night, who will not sit near the water, who go quiet in the middle of a sentence and come back a minute later without explaining. A doctor working in these villages would know what she was looking at.
Her neighbours read the same behaviour as proof. She keeps to herself because she is an omen herself. She is strange because she is cursed. They make her ill, then point to the illness and call it evidence, and she sits inside that loop for the rest of her life, alone in a house everybody can see.
None of the women I met had ever spoken to a counsellor. There is no counsellor to speak to.
I came back with clean data. Salinity, household expenditure, the months of the year with two meals in them. It is good data, and my supervisor will be pleased with it. There is no column in it for a woman in a tree, holding on, listening.
