JoeyJoeJoeJr
Saw the movie today. I concur with this astute review.
I would say there were maybe (maybe) 4 spots where it made sense to put music, and maybe 1 or 2 of those where the scene and music were done well (graded on a favorable curve). Then about 20-25 places they jammed bad music for what felt like no reason other than to slow down a movie that already wasn’t going anywhere.
I just saw it today. Can confirm - it’s bad. Bad enough I’m upset it exists, because it practically taints the first.
The plot is pretty weak, and to make it worse, sporadically there are flashes that make you think it’s finally building towards something, and then it just fizzles.
With very few exceptions, the songs are bad both in terms of the music and the lyrics, and they slow the movie to a crawl.
Additionally, Lady Gaga’s lip synching is shameful, especially considering she’s most famous for music. Her performance is otherwise fine, but it feels like they could have put anyone in there. She didn’t bring anything to the role.
Joaquin Phoenix’s performance is pretty good, and the cinematography is good. But… Don’t see it. Definitely don’t pay for it. I wish I had my money and my time back.
I’ve personally lived in places where the closest convenience store was 2.25 km, and the grocery store was nearly 18km, as well as places where a convenience store was literally a part of my building, and grocery stores were walkable distances.
The U.S. is enormous and varied. Take a look at truesizeof and compare the U.S. and Europe (don’t forget to add Alaska and Hawaii - they won’t be included in the contiguous states). Consider how different London is from rural Romania.
The president can’t intervene at the state level. From americanbar.org:
A U.S. president has broad but not unlimited powers to pardon. For example, a president cannot pardon someone for a state crime.
This ignores the first part of my response - if I, as a legitimate user, might get caught up in one of these trees, either by mistakenly approving a bot, or approving a user who approves a bot, and I risk losing my account if this happens, what is my incentive to approve anyone?
Additionally, let’s assume I’m a really dumb bot creator, and I keep all of my bots in the same tree. I don’t bother to maintain a few legitimate accounts, and I don’t bother to have random users approve some of the bots. If my entire tree gets nuked, it’s still only a few weeks until I’m back at full force.
With a very slightly smarter bot creator, you also won’t have a nice tree:
As a new user looking for an approver, how do I know I’m not requesting (or otherwise getting) approved by a bot? To appear legitimate, they would be incentivized to approve legitimate users, in addition to bots.
A reasonably intelligent bot creator would have several accounts they directly control and use legitimately (this keeps their foot in the door), would mix reaching out to random users for approval with having bots approve bots, and would approve legitimate users in addition to bots. The tree ends up as much more of a tangled graph.
This ignores the first part of my response - if I, as a legitimate user, might get caught up in one of these trees, either by mistakenly approving a bot, or approving a user who approves a bot, and I risk losing my account if this happens, what is my incentive to approve anyone?
Additionally, let’s assume I’m a really dumb bot creator, and I keep all of my bots in the same tree. I don’t bother to maintain a few legitimate accounts, and I don’t bother to have random users approve some of the bots. If my entire tree gets nuked, it’s still only a few weeks until I’m back at full force.
With a very slightly smarter bot creator, you also won’t have a nice tree:
As a new user looking for an approver, how do I know I’m not requesting (or otherwise getting) approved by a bot? To appear legitimate, they would be incentivized to approve legitimate users, in addition to bots.
A reasonably intelligent bot creator would have several accounts they directly control and use legitimately (this keeps their foot in the door), would mix reaching out to random users for approval with having bots approve bots, and would approve legitimate users in addition to bots. The tree ends up as much more of a tangled graph.
I think this would be too limiting for humans, and not effective for bots.
As a human, unless you know the person in real life, what’s the incentive to approve them, if there’s a chance you could be banned for their bad behavior?
As a bot creator, you can still achieve exponential growth - every time you create a new bot, you have a new approver, so you go from 1 -> 2 -> 4 -> 8. Even if, on average, you had to wait a week between approvals, in 25 weeks (less that half a year), you could have over 33 million accounts. Even if you play it safe, and don’t generate/approve the maximal accounts every week, you’d still have hundreds of thousands to millions in a matter of weeks.
If someone is consistently falling for phishing emails (real, or from the IT department), shouldn’t that person eventually be fired? Isn’t that a punishment?
If there is neither a punishment nor a reward, what is the incentive to learn? Some people may not need one. Many others do.
I agree that a single failure resulting in the loss of significant income might be harsh, but I think there needs to be a way to convince people to take the issue seriously, and a punishment of some kind is therefore always warranted (e.g. eventual firing).
You can balance out the issue by creating a reward system as well, e.g. if you report all of the test emails sent to you in a year (i.e. not just ignore them), your bonus is increased by X% or something. Similarly, if you report an actual phishing email, your bonus is increased by some percent, even if you initially fell for it. I think it is possible to foster a consciousness and honest culture, with a system that includes punishments.
In a scientific context, a hypothesis is a guess, based on current knowledge, including existing laws and theories. It explicitly leaves room to be wrong, and is intended to be tested to determine correctness (to be a valid hypothesis, it must be testable). The results of testing the hypothesis (i.e. running an experiment) may support or disprove existing laws/theories.
A theorem is something that is/can be proven from axioms (accepted/known truths). These are pretty well relegated to math and similar disciplines (e.g. computer science), that aren’t dealing with “reality,” so much as “ideas.” In the real world, a perfect right triangle can’t exist, so there’s no way to look at the representation of a triangle and prove anything about the lengths of its sides and their relations to each other, and certainly no way to extract truth that applies to all other right triangles. But in the conceptual world of math, it’s trivial to describe a perfect right triangle, and prove from simple axioms that the length of the hypotenuse is equal to the square root of the sum of the squares of the remaining two sides (the Pythagorean Theorem).
Note that while theorems are generally accepted as truth, they are still sometimes disproved - errors in proofs are possible, and even axioms can be found to be false, shaking up any theorems that were built from them.
