about Houston Texans’ Laremy Tunsil mints draft-night fuel masks video into NFT, will donate portion of proceeds to charity will lid the newest and most present help within the area of the world. learn slowly so that you comprehend competently and accurately. will enlargement your data easily and reliably

HOUSTON — The day earlier than the 2022 NFL draft begins, Texans left sort out Laremy Tunsil tweeted that he is transferring previous his draft night time incident by minting a non-fungible token (NFT) of his “notorious fuel masks video.”

Simply earlier than the beginning of the draft in 2016, a video of him smoking marijuana out of a fuel masks was posted on his Twitter account. Tunsil, who was projected because the draft’s high offensive sort out, slid down the draft board and was ultimately drafted by the Miami Dolphins with the thirteenth choose.

Tunsil later instructed then NFL Community analyst Deion Sanders that his Twitter account was hacked.

“Man, it was a mistake,” Tunsil stated at the moment. “You already know, it occurred years in the past. Like I stated earlier than, anyone hacked my Twitter account. That is the way it bought on there, man. It is only a loopy world — issues occur for a cause.”

Tunsil tweeted {that a} portion of the proceeds from the 1 of 1 NFT will profit The Final Prisoner Challenge, which helps these incarcerated for hashish offenses.

“I am trying towards and excited for the longer term and am grateful for all of those who supported me on my draft night time and those who have and can proceed to help my journey!” Tunsil tweeted.

Tunsil was traded to the Houston Texans in August 2019 in alternate for a package deal that included two first-round draft picks. In 2020 he signed a three-year, $66 million extension with the Texans that included $50 million assured.


I hope the article not fairly Houston Texans’ Laremy Tunsil mints draft-night fuel masks video into NFT, will donate portion of proceeds to charity provides perspicacity to you and is beneficial for addendum to your data