“Don’t come here, here they discriminate against us Latinos,” she expressed annoyed
Singer Natalia Jimenez failed the restaurant gigi’s hollywoodwhere, according to her testimony, she was discriminated against for speaking Spanish, as she recounts in a video in which she recommends that Latinos not attend, because they told her that they kicked her out because she was speaking too loud, however, she considers that the true reason was because he was speaking in Spanish on FaceTime with his daughter.
«It is not the first time that I feel that they discriminate against me for speaking Spanish in the United States, but today has been incredible! I was talking to my daughter on FaceTime in the restaurant and it turns out that the people in the restaurant were so annoyed that they threw me out of the restaurant, with a table next to me with four girls who were talking louder than me. It bothered them that I was speaking in Spanish. Don’t come here! Terrible attention to Latinos. They have them working there, but they don’t want us as clients,” she reads in the message that accompanies her video.
Fans support Natalia Jiménez
Followers of the Spanish singer, a former member of La quinta estación, applauded that she did not remain silent and that she denounced these reprehensible attitudes: «Thank you for not keeping quiet. Because silence stimulates the executioner. A big hug from Argentina». “The Castilian. Aesthetically it is, along with Italian, the most beautiful languages there are. Discriminate! It is ironic. The most beautiful language there is cannot be discriminated against. And US English is not English. It is a dialect. It’s a filthy version of English. The only well-toned English is British. “How sad that these things happen, imagine everything that the Latino community lives and that they do not have the opportunity to make public, often for fear of reprisals,” are some of the comments that can be read in the publication in which they They recommend tagging the restaurant that has disabled comments on Instagram.