Aliexpress listings can have multiple different items, and the price displayed in the search results will be that of the first of those (in your case, probably just an antenna) rather than the actual item you searched for or even the item image shown on the results page.
There is also the foreign policy based on threats and insults, increasing reports of hostile border experiences, reductions in non-tourist visas, US economic policy reducing consumer confidence globally leading to fewer people committing to inter-continental travel, and the fact that some people simply prefer not to visit countries whose domestic policies they disagree with.
The "bunch of assets" that the crown effectively surrendered in return for financial dependence on parliament is the Crown Estate, currently worth GBP 8.1 billion (USD 13.6 billion).
They also pay tax: "In 1992, The Queen volunteered to pay income tax and capital gains tax, and since 1993 her personal income has been taxable as for any other taxpayer. The Queen has always been subject to Value Added Tax and pays local rates on a voluntary basis." I also assume that she does minimal tax avoidance.
I did my own undergrad project on JPEG steganography, and I was surprised that section 2.6 accurately represents popular algorithms being implemented today. At the time it seemed to me that you got significantly better results than the naive algorithm when measuring visible differences and statistical anomalies in two ways...
1) Consider the unquantised DCT coefficients. If the unquantised coefficient is 12, and the quantisation factor is 5, then the quantised value is round(12/5) = round(2.4) = 2. If you need to flip the LSB, then the F5 algorithm would change this to 1. My algorithm would have changed this to 3 instead as this was much closer to the unrounded 2.4.
2) Encode one bit into multiple quantised co-efficients. For example: If you only need to hide one bit in a block, xor together the LSB of all 64 quantised co-efficients and use that; if you need to flip it, then carefully choose the single co-efficient which produces the best result for your visual/statistical models. (I might have excluded the DC co-efficient, don't remember.) If you need to hide two bits, use half of the co-efficients for one bit, and half for the other, and so on. Conversely, this method could also be extended to so that one bit is encoded into multiple blocks.
Rather than a keyed shuffle, I simply required the secret message to be strongly encrypted. This appears to have the added advantage of a message with predictable statistical properties.
Note also that robustness was not one of my criteria at the time.
Hope this is of some value (or at least interest). And my apologies if I have some of the terminology wrong - this was nearly twenty years ago and I don't have the work in front of me right now!
Note that sometimes you have to click the "show all" link at the top of the search results to get low-cost airline results to appear. (This is possibly revenue-related.)
Some more feedback: If I do a search for direct, one-way flights from Tallinn to anywhere next month, the experience is awful.
"anywhere" appears to search a list of cities in sequence, not in parallel.
The top city on the list is Beijing (I doubt Tallinn-Beijing has ever existed or ever will); Dubai, Shanghai and Incheon are also in the first ten. Combine this with the server speed, and you have me staring at a throbber for far, far too long for searches that I know won't succeed and should have been trivially filtered out.
If I repeat the search, the same 48 cities are shown in the same order. Please stop trying to get me to go to Beijing. Consider a longer list, randomising the order and searching in parallel.
Your search results show no direct flights from Tallinn to London or Paris next month. This appears to miss results from RyanAir, EasyJet and Estonian Air. (Of these, your coverage page only claims to support EasyJet.)
Assuming the vulnerability scanner tries some basic login attacks (for example, trying default username/passwords), then it would be analogous to a landlord finding one of their tenants trying to pick their neighbours' locks, and that of the building management office.