Did you read TFA? Or did you choose sentences to read randomly? Those we're quoted as the results that worked. In fact, here is the original paragraph:
Ten of the effects were consistently replicated across different samples. These included classic results from economics Nobel laureate and psychologist Daniel Kahneman at Princeton University in New Jersey, such as gain-versus-loss framing, in which people are more prepared to take risks to avoid losses, rather than make gains1; and anchoring, an effect in which the first piece of information a person receives can introduce bias to later decisions2. The team even showed that anchoring is substantially more powerful than Kahneman’s original study suggested.
Two that didn't were about social priming, one was currency priming, in which participants supported what I assume is the current state of capitalism after seeing money, and the other, priming feelings of patriotism with a flag. Moreover, both original authors we're positive about it:
Social psychologist Travis Carter of Colby College in Waterville, Maine, who led the original flag-priming study, says that he is disappointed but trusts Nosek’s team wholeheartedly, although he wants to review their data before commenting further. Behavioural scientist Eugene Caruso at the University of Chicago in Illinois, who led the original currency-priming study, says, “We should use this lack of replication to update our beliefs about the reliability and generalizability of this effect”, given the “vastly larger and more diverse sample” of the Many Labs project. Both researchers praised the initiative.
There you go, quoting the article directly since you can't be bothered to read it. It is true that they apparently chose what some consider to be important effects and the evidence against social priming is upsetting to some. Still, the fact that verification actually happened and people are happy about it shows science is alive and kicking.
Anyway, another cool thing about this study should be that it uses this thing, the open science framework which I haven't heard about until today, but seems pretty cool.