The Wiwi Jury, our in-house panel of music unprofessionals, is in Chisinau and is busy reviewing the songs from Moldova’s national selection O melodie pentru Europa. We continue with Nadia Mosneagu, who returns to the contest with “Never Give Up On Us”. Will we “never give up” on her song? Let’s find out!
Nadia Mosneagu – “Never Give Up On Us”
“Never Give Up On Us” reviews
Bogdan: The operatic singer is at it again. Nadia is trying to bring drama and intensity with “Never Give Up On Us”, but I only feel desperation. The verses are too wordy, the chorus sounds strained, and the ending falls flat. Last year, Nadia made it to the final, but this year she barely made it to the semi-final. The song’s partly to blame because it’s a hot mess, but her style of singing is also terribly off-putting.
William: Rather than singing “Never Give Up On Us” to her wayward lover, Nadia Mosneagu should save her energy and sing it to her English teacher. This is three minutes of largely unintelligible English made worse by dated production and a lacklustre melody. To punctuate the madness, she seems to howl during the last five seconds of the song.
Chris: It feels like there’s a constant battle between Nadia and tempo of the song. I’m on edge wondering whether she can keep up. I somehow doubt that was the intention. The longer it goes on, the more painful the notes become. If this got through the auditions then I shudder to think what went out.
Robyn: “Never Give Up On Us” is an average but adequate song, but Nadia is totally the wrong singer for it. Her shrill voice sounds more like an opera singer in training. than a skilled R&B vocalist. The end product is a performance that is incredibly unenjoyable to listen to.
Deban: The merits of this composition and its delivery are dreary at best. A painful strain forms the basis of the chorus that appears to go nowhere. At the end, it truly becomes unbearable.
In our Moldova Wiwi Jury, we have 17 jurors but only room for 5 reviews. The rest of our scores can be found below:
Before calculating the average score, the highest and lowest scores are dropped. This is to remove outliers and reduce potential bias. We have removed a low of 1 and a high of 6.