I'll try to speak loud enough. If you really can't hear me, please shout. So I'm Lucas. I'm going to talk about stat statements mostly. And my experience is with it. Some open source stuff I've published that might be useful to you, that kind of stuff. I have to admit I'm a bit chat lagged. So if I talk too fast or unclear, please let me know. But I'm sure we'll make it work. So basically, oh, I hope the slides work. But so I know a lot of Ruby. I'm not as good in Postgres hacking. So I'm not the best C developer. But I really like Ruby. And so my tooling tends to focus on making stuff usable with Ruby using the Postgres data. And so the product that I'm working on is called Peach Analyze. It's a hosted monitoring dashboard. I'm not going to talk too much about that. I am, however, going to describe to you how we work with stat statements in that tool. Because we have a little bit of scale on that. And we have seen various issues, like bad data coming in, cleaning it up, all these kind of things. So who of you knows stat statements and knows what stat statements does? OK, so about half. So the name of the talk is Advanced Peach Stat Statements. But I'm still going to repeat what stat statements has, especially because there's a lot of fields in there which might be useful. So basically, stat statements is a module, like an extension. You need to enable that extension in the config. So it's a shared library that you need to include, which means you need to reboot. This is something that we've actually seen a lot of customers having an issue with, is you have production database. You don't have stat statements enabled. You want to start monitoring it. You need to reboot your server, which unfortunately is no way around. And then once you've done that and you create the extension, then you basically get a view of all the queries that are running. It's basically a counter. So every time you look at that, the values would increase if more queries run. So you need to have some tooling around working with that view. The good thing about stat statements nowadays, especially, is that cloud, DBA, AS, whatever, platforms actually support it. So if you use Heroku Postgres, you can use stat statements by default, like no additional work to be done. If you use Amazon RDS, since November, they also added stat statements. You need to enable it, but it's possible, which is really useful because usually you don't get as much introspection there. A couple of tools that work with stat statements data. So PG Hero is one by Andrew Kane from Instacart. It's a nice little tool, open source. Ours, also, both written in Ruby, actually. Ours closed source in this case, but the same mechanism. POVA, but Dalibo, they do a lot of things with stat statements, actually. They also released a really interesting extension lately, which I'm gonna come back to, also, open source. So if we look at stat statements, you basically query the view, and then the data you kind of get back. So the most important data is, which query was it, the number of calls, and the average time. And you see that this is the average time, not the mean time, which means if you basically, if that data accumulates over a lot of time, it's difficult to know what the highest value was in the lowest runtime. So that's just something to keep in mind. Stat statements also normalizes the queries since 9.2. So that means this little question mark you see at the end, there was actually a value like five, or eight, or something, or the password of the user. And so the good thing about stat statements is it kind of groups these queries together, mostly based on constant values, which is really useful if you have a lot of data. And another nice thing about stat statements is it gives you the hit rate for the shared buffers. Actually, not many people know that, but it's really nice. So basically, you'd use this little formula. It's pretty simple, the share blocks hit divided by share blocks hit and share blocks read, which if everything would be cached in the shared buffers, it would be 100%. If it has to be fetched from the disk slash operating system cache, it would be lower. And you can do this on a pair query basis, which is good. And then one thing which we actually need to enable another config option is block read time and block write time. This is actually milliseconds. So basically this is the accumulated time that was actually spent with IO fetching the information, which is useful to know if you're heading like the OS cache or if you're actually doing like really slow disc reads. But a problem is that you need to enable track IO timing, which has some overhead. Postgres docs are good on that, but just check whether the overhead is an issue for you. Some platforms like Heroku actually enable track IO timing by default. So if you use Heroku Postgres, you actually get this for every query. Any basic questions for disinformation? It's just kind of recapping what we have here. Okay, cool. So there's three things I want to kind of talk about. Basically improving data quality. So kind of like when you work with Peach Set Statements data, how can you improve the quality of that data? A tool that I developed called PG Query, which parses SQL queries and gives you the AST of that query, which is really useful in working with Set Statements data. And then I'm gonna talk a little bit about filtering Set Statements and regression testing with Set Statements data. So improving data quality. So one of the issues, especially pre Postgres 9.4, was that the query string would be truncated. So that means if you have a query, for example, like some frameworks like Rails, they have like really long ID not in and then they have like pass in all the IDs, which is a horrible pattern, but they do that. And the problem is that the query string basically gets truncated and so you actually end up with a query that's not normalized and that's also not parsable. And so before 9.4 was usually like, I think default is like a thousand characters for the query. You can increase that, but it had a little bit of cost because it was kept in memory. With 9.4, this is now on disk, like stored in a file, which obviously enables you to use longer query texts. So just to keep in mind, if you use an older Postgres version. Then one thing, so because you kind of, there's a counter values, right? So one thing that we also did initially was using Pitcheset statements reset, which basically resets the statistics, right? So it would like basically remove all the queries from like the internal cache encounters and kind of restart tracking, which is really nice because if you do this like every 10 minutes, then you have a clean slate, you kind of know what has run. The big downside of that is A, it produces a little bit of like overhead and B there's actually a race condition, actually a bug kind of in that statements reset. There's a reason why it's not fixed, but the problem is basically sometimes if you run reset and there's a query that runs at the same time, it doesn't get normalized. And actually, so the thing is it groups together correctly, but it doesn't like the query you would see in the statistics is not normalized. So this kind of, this actually shows up a lot if you have like bigger systems which do resets. So you kind of need to clean the data. But in general, lesson learned, don't use that statements reset. Starting with 9.4, there's query ID, which kind of allows you to identify unique queries, where you kind of see like which query's changed before you have to do some magic around like tracking calls and kind of understanding. Like there's some stuff I can talk about if you want. So talking about normalization also, right? So one of the issues, and this is something like I kind of call this fingerprinting because it's kind of about, so how can we kind of generate the query fingerprint that sums up the logical idea behind the query, right? So one thing it says statements does, I hope you can read this. So if you have select ASB, it's actually the same as select ASC. So like aliases are ignored, which is good. Some ORMs like Hibernate does this a lot. So it's really good that that's taken care of. Other cases are not taken care of. So for example, select something from Y in and then you have a list of IDs, right? This kind of anti-pattern and you have different lengths of these lists. They actually like are separate queries in stat statements. There's also an idea behind that because obviously if you pass a long list, it might be a lot slower than if you pass a short list, but it makes the data really messy. So that's something to know. Another thing is, let's see. Another thing is if the target list is ordered differently. So this actually kind of could be fixed in normalization code. Basically, if you do select AB from X versus like BA from X, it's not the same query. Again, an issue with some ORMs, which just randomized this stuff. And then let's see, oh yeah, deallocate.  The problem is that deallocate is actually, like I think nowadays it's ignored in 9.5, I mean 9.4. But what we've seen is like, you would see deallocate and then the prepared statement name and these would like just bloat your statistics. So again, something you wanna ignore. All right, so as mentioned, one really good thing is that Postgres 9.4 introduced query ID. So what that statement does internally, it actually, it doesn't work with the query string, it works basically with a, it calls the jumble, it kind of jumbles the query, meaning it takes the parse tree and kind of tries to find a unique hash for that. And previously that wasn't exposed. So previously it would use this internally, but you couldn't actually work with that information. Now you can. And one interesting thing is 9.4, you can also not fetch the query anymore. Cause like this goes to disk writes, you might not wanna do that. And so if you, for example, if one query where you really wanna like monitor it every, I don't know, 10 seconds, you could do that now without actually like getting the query text all the time. But important thing to know, query ID is not consistent across systems necessarily. Also if you, for example, the OID changes, so let's say you have a staging database, you drop and reload the database, it would actually be a different query ID. So it might not be useful for like aggregating data. And then something which is, I think like yesterday I checked and it's not merged yet, but hopefully it will be merged, is a patch for adding a minimum maximum time, mean time and standard deviation to set statements. Hopefully that gets added. The big benefit of that would be that you could do something more interesting than an average. Would still have the same issue if you don't reset, like you might wanna reset like every 24 hours, cause otherwise the max would just be like the max of like two weeks ago, which might not be as useful. But anyhow, this is like really useful. If it gets merged. Cool. Going a bit fast. I like to go fast, but we can talk about all the little details later. So one interesting extension, and this actually builds on the query ID that's exposed to 9.4. It's called pgqual stats. And the folks behind POVA released this. So the issue that you often have is, if you have like in stat statements, you don't know what the query actually was looking for, right? So sometimes you have something which is like in RAM, sometimes it's not. And so the queries can be wildly different. And stat statements doesn't really tell you like what kind of constant values we're looking for. And so what quals stats does is, for a certain query ID, it can tell you which like predicates, which where clauses and from clauses, which values were in there, right? So you could kind of say, okay, a lot of times we query, I don't know this user, but then we query this other user, right?  So that's really interesting. I haven't played with it myself, to be honest, unfortunately, but I'm super excited that this exists. And then there's a thing called pgstatplans, which it's been unmaintained for I think even two years now, which is really sad. It's interesting though, because it kind of explored the idea of tracking query plans versus queries, right? Giving you actually a query plan with each query, so you kind of say, we have this query and then we have these different plans and this is how often they were used. There's actually a really bad bug, so you shouldn't use this right now. There's a bug which reruns the statement that you were monitoring. So basically, if you were like, because it kind of auto explains and it has some issues with escaping. So basically, if you do like explain delete, it would actually run the delete when like analyzing stuff. So don't use it right now. But if you're interested in like what could be done, it's definitely something which, like there's some interesting ideas in there. But again, has a high overhead, so you don't want to use this on a production system. Okay, so that's kind of some basic stuff on improving data quality. So one thing we've done or I've done to improve the data quality and kind of to have a building block to work with is something called pgquery. And so pgquery, it's a Ruby extension or Ruby library, which turns an SQL query into an abstract industry. So kind of doing what Postgres does internally to work with queries, but doing it in a way you can access it in a tool. And so maybe kind of like taking a step back, like how would you actually work with pgtest statements data, right? So R, this is kind of where pgquery fits in. So R set up with pganalyze and I think most products or tools would be similar. You have your production database. There's some agent or collector which gets the information from database. In our case it's called pganalyze collector, it's open source, you can use it. Then this collector kind of creates a snapshot. In our case it would be every 10 minutes from all the data. This includes in our case the statements data, but also table information like backends that are running like all these other infos which might be useful to work with the data. And so in this snapshot, then we kind of go through four like different steps to work with that data. And then it gets put into monitoring database. So we have like a separate postgres monitoring database running which includes the statistics information which we can then query or like render as a graph or these kind of things. And so this monitoring database kind of looks like this. It's basically, let's see what's interesting here. So we normalize the query ourselves. So we store the original query and then new normalized queries. We store the parse tree which I'm gonna come to in a second. We also store the parse error and parse warnings. So one of the issues is the postgres, like there's some issues with parsing and outputting like utility statements for example. And so what we really needed to do was basically have a way to say, oh, these errors are happening or these warnings are being generated. And then really useful is also statement types. So basically I only wanna see the select queries, right? I only wanna see inserts on this table. And then truncated false true. Some heuristic around like, if the number of parentheses is unequal then it might be truncated, these kind of things. And the fingerprint which is kind of our unique identifier. And then for each of these queries we'd have a snapshot. The snapshot was basically a representation of stat statements. So this is like basically identical to stat statements data. And then a snapshot just like for the basic database information. So let's go through this. Let's actually start with this. So parsing an SQL query. I don't know who of you has tried this before but it's actually surprisingly difficult to parse SQL. You don't wanna use regex, right? Like you, there is some existing tools. There's projects that have the same problem like PG pool for example. Basically anything that's not postgres which needs to be postgres compatible. So I looked at PG pool, PG pool was parser was difficult to extract and they also have this issue like every major release they actually have to like reintegrate the parser which is not ideal, right? So you always have to delay for each new release. So it's really nice if there was, okay you can't see this but if there was an explain parse tree true, right? So if I could kind of tell explain, please kind of explain me how the query looks like to postgres internally. Doesn't exist but might be nice. So what postgres does internally, I'll just walk through this because you can't see it. So this is a parse statement which is called raw pars internally. Raw pars actually like runs the whole like parser and generates the initial abstracts industry which then goes on to the query being rewritten and optimized, the query being planned and then the query being executed, right? What's interesting is that this step here doesn't use the catalog but these three steps later do. And so the good thing is you can actually parse a query without having an actual postgres database like you don't actually need disk access because the parser is independent from the catalog. And so the good thing is if you go into C you can actually do this, you can basically say call the raw parser and then do node to string which is like a debug function and then you can print the string and you actually get the internal representation and there is a format for it. It's a really weird format but this works, right? So this is like if you use a normal postgres and you went to the GDB, you could actually do this. And so what we did with PG query was basically use that and kind of cut off the whole catalog access part and really just saying we wanna run the parser independently kind of. And so if you wanna use this, take a look. It's basically if you wanna install it, if you know Ruby, it's gem install PG query and then you can parse queries. The way it works internally is it compiles parts of postgres. So basically it doesn't actually duplicate the parser, it actually uses the existing code which means it might be a bit slow but it's always up to date, right? So like anything that's in postgres can be parsed. And so again, you can't see this but basically this works, so you can just call rawPars on PG query and this works. So one problem here is that this node to string function is actually used for debugging and so anything that didn't need to be debugged wasn't added there, right? So for example, if you were to parse create schema, it would actually not give you a result, it would say it can't dump this kind of node. And this kind of happens because the output code like this for the outfuncs is actually like handwritten, right? So like every time a new statement gets added, somebody maybe adds that, although it could be automatically generated. And so I actually did this, it might be difficult to merge because it's Ruby, right? So like postgres doesn't use Ruby internally but I basically built a little helper tool this would take the header files of postgres and generate the outfuncs function from it. And the other thing I added was I changed it from the internal format to a parsable JSON format which makes much more sense. Again, you can't read, but it's basically the same but in JSON, I'm happy to show you afterwards. So that also works, right? So like we can now parse a query, which is good. The problem is parsing a normalized query. And this is kind of an issue because normalized queries have question marks in them and question marks are operators, they are not parameter references. And so this works, right? But if you do a question mark, then it gives you an error, it says syntax error at or near semicolon, da-da-da, right? And so this means the parse doesn't work, the analyzer doesn't work, the plan doesn't work, like the whole thing blows up. If you place the question mark with $1, then the parsing works. It can't analyze the query or plan a query but it can at least parse it, which is good enough for us. And so the initial thing actually, so what I did initially was doing this string replacement, right? So like going through all the set statements data and like replacing question marks with $1, which is a problem if you use like operators which use that part. So what I actually changed was patching the parser to support parsing question mark as a parameter reference unless there's some special cases which might be operators. This is, it works surprisingly well. Also it's really hacky, right? So this is not something that would ever emerge in Postgres. The real fix is replacing that, replacing character. Yeah, so all right. So fingerprinting set statements, right? So this issue we had before with the target lists being reordered and this being different queries for set statements. So as part of PG Query, I also added a fingerprinting method which would fingerprint based on the AST but would do some more like normalization which in practical usage has helped. And the nice thing is it's 40 lines of Ruby. I'll share the slides later, by the way. It might be easier to click through. But the really nice thing for me was to kind of see how easy it is to, you know, compare to writing C code inside Postgres. This can be like easily unit test that it's Ruby. I mean, Ruby is really bad in terms of memory and CPU and everything, right? But you don't care because you're only analyzing stuff. It's not your production system. And there's lots more details to fingerprinting. We can talk about that later. And the last kind of interesting thing here is extracting table references, right? So oftentimes I have a certain table which is having issues or I just wanna know like which kind of queries around that table. And you could of course like just grab for it and grabbing will probably bring you quite some way but it's not the right way to do it. And so because you have the abstract industry, you can actually parse a query and then you just, in the pgquery case, just call dot tables and it gives you the tables of the query references. This also works with common table expressions like all kinds of weird cases. Again, because it kind of traverses the AST. It's a bit more lines of Ruby. There's also unit tests for this because as we started doing this, we noticed some edge cases and obviously there might still be some edge cases. Anyhow, if you wanna use this, please use it. There's people like using this for also like, if they have like a schema dump and they wanna analyze it, this also works, right? So any place where you have SQL queries, this might be helpful for you. Just let me know if there's some issue you encounter. There's for example somebody who would like to turn this like parse tree representation back into an SQL string which Postgres can do for some parse trees. But again, this would be nice if there was like a standardized way of doing this. All right, so last part. Filtering and regression testing, right? So this is actually making use of all these tools. So let's start with filtering. So filtering meaning working with the stat statements data. So previously I've made a gist, I made this nicer for you yesterday actually. So it's now called PGQ top and PGQ top is like a top like tool which uses PGQ stat statements data. It's also Ruby, so you need Ruby installed to run this. It's really simple. So if people find this interesting, I'm happy to like expand on what this tool does. For me, it was more showing like how much power you have as soon as you can parse queries.  For simplicity sake, it does a reset in the beginning and then it's just like keeps showing you like the queries and it would kind of like listed by the highest average time. Again, if you really want to extend it top then it could like sort by 20 different things and you could reset and so on. Nice thing here is you can say PGQ top dash T post for example, if you have a post table and it would only give you the queries on a post table. You could also do dash S for statement type and you could do select or you could do delete. You kind of like see like what's happening with your application. So this is here, feel free to use it. It's really fresh. Don't use it on production necessarily. The only reason why you shouldn't use it in production is because it queries that statements every second which might be an issue on production systems. Not a problem on development obviously. Also the reset might be an issue. Right, so last but not least. So this is an idea I'm kind of exploring right now. It's experimental. So it might seem weird but there's some use cases for it. So basically let's say we want to know which queries slash query plans would be affected if we remove an index. And let's say we could of course run like copy the database and run it there. But let's say could we kind of like could we kind of help the developer make this decision quicker? And ideally could we like how would execution plans be affected if we upgrade Postgres version? This is a bit into the future to make this actually work but these would be really interesting to solve, right? Because a lot of people have regressions when they update Postgres because the plans, like for some weird reason 9.3 broke some people's plans and then maybe it's fixed, maybe it's no fixed, like what do you want to know before you upgrade? And so the basic idea here was to, instead of like actually doing all of this, basically kind of faking the data. So using that statements data to know what's actually running on your system, right? And using a table statistics to know what the table looks like and kind of using that but no actual data, right? So you not actually have access to the database. And so testing started for this would be you have production database, you kind of dump the schema and the table level statistics push this into a local test database which looks like production but has no data and then you want to run explain on it. And so we have again the same issue of use that statements data, you want to have it parsable but we fixed this before. The problem now is that if you use a dollar one it's not explainable, right? So technically if you had an empty database with correct statistics and Postgres wouldn't actually check the data then you could actually do an explain here. But a problem is that without the actual value you can't actually explain a query. So one way of doing this is you would replace the dollar one for null but the problem with that is that it generates a really different plan. Data type is different and so on. There's some hacks around basically wrapping it and so what actually the foreign data wrapper does internally also is you basically use null but you cast null to that data type that you need. And then you put it in a select statement because that kind of tells the planner to assume like basically not optimize the value. And so there's some stuff around like finding out the type. If it's the good thing is if it's like a parameter reference you can actually use the pgprepared statements view to find out what Postgres thinks the data type should be which you can then use to like insert it. And so in this case we would kind of like be able to explain a query which was originally a pg.statements query assuming you have the structure copied. And then you actually can kind of try to replicate the production plans, right? So again there's some issues here because or let me go here. There's a big issue of this right now which is that a planner actually reads the physical size whilst planning. So ideally it would only rely on the catalog tables which you can kind of insert into. But the problem is it actually goes to the physical stuff. Ideally we would like kind of patch that to not have this issue. What kind of happens then is that the costs are like always too low or it might choose a plan like it might actually choose the sequential scan because it thinks the table is tiny. But again, but the idea here is you can explain stat statements data, right? All right, so this is something I'm working on. It's all up there. You can actually run it like it has some unit tests and it kind of works. But what I'd be interested in if somebody, like if some of you have tried this, like what you currently do, if you wanna upgrade Postgres, how you approach that, if this would help you, if this is totally useless, like basically kind of feedback if it's worth investing more time into this. All right, so these are kind of the three big topics. So we still have 20 minutes, right? Yeah. So are there like any big questions to what came up so far? Yeah? No, the fingerprint is just an MD5 sum of the hash, basically. So like there's no, like the fingerprint doesn't, like even if it's really subtle difference in the query, then it would do a totally different fingerprint. But potentially this could be an application, right? So I think the nice thing is again, this is something we could easily build, yeah. Sure. So basically, so it depends on if you're on 9.4 or earlier. If you are 9.4, it's a little bit easier. So you would use the query ID to know which query is which, right? So you kind of know like 10 minutes ago I saw the data and now I saw the same data, like I cleared the database again. The same query ID is still there, but the calls are now 20 instead of 10, right? So I know that the 10 calls happened. That kind of works. There is an issue in 9.4 if you wanna track utility statements because utility statements don't have a query ID. They actually have a query ID zero. So you still kind of need to do a workaround. The workaround we do for earlier PostgreSQL versions is to use the normalized query and basically assume that the query string is identical, right? So the query string has been unique. There's an issue with that if you, was that like if you have a database, like if you have a staging database where you drop the data and then you reinsert the data and you look at it again, then you would have this and you don't reset that statements. You actually have two rows with the same query string, right? And this is something to watch out for if you have monitor staging databases because in that case you kind of need to be smart about saying, okay, so last time I saw five of those queries which with these calls, right? And then this time I saw five of these but one of them changed, right? And so this one that changed was actually the one where the query was running. If you need that actually, so I haven't added this yet to the PGQ top but I might as well rework that. So I'll probably open source this in the next couple of days if you guys want to use that. Any other questions? The query ID, I mean, yeah. The query ID, as far as I know, it stays stable unless you change the OID. So it takes the OID of the tables, it doesn't take the name of the table. So if you, again, like the staging issue, right? In that case, it would also kind of change the query ID. As far as I know, and I've only read the docs in this so I'm not sure if like, again, like we personally don't rely on this because it's a little bit unstable but if you do vol-based replication, it's actually the same also on the slave assuming nothing out like same major version of everything. If you do logical replication, it doesn't necessarily have to be, right? But again, so you might not want to rely on that data. Like if you really look at like analyze the data, you'd probably want to look at the query string and not on a query ID. But for like understanding which queries were running in the last 10 minutes, that's where the query ID is really useful. That's a good question. So what I've been playing around with, because so last time I gave this talk, some people had the feedback that they have like, they were heavily rely on functions. And the issue that they experienced was basically so queries were running inside the functions and they wanted to understand like kind of, you know, like which functions were running those queries. Like your issue is a bit different but I feel it's kind of related. Like I'm not actually sure how the jumbling works for the function parameters, but like I'm not sure. I would have to read the code. But right now I'm actually, I'm kind of experimenting with that. Like how can we make this better for functions? Also including parsing PL, PGSQL. So kind of parsing the function definition and being able to say these are the queries that happen in there. And then kind of comparing that with that statements data. But yeah, let me actually, so I have a couple more slides just in like ideas, like useful things you might use. So if you wanna use set statements with a monitoring user, right? So let's say you don't wanna use your production, delete everything kind of user, which is something that we see a lot as a hosted solution. You can actually use a security definer method. So basically as a super user, because the problem with set statements is if you, if you query the view and you are a certain user, which is not super user, you can only see your own queries, which is an issue if you have a system with multiple users. So what you might wanna do is using security definer method to create it by a super user to get the set statements data, and then kind of work with that. And then let's see, stuff that might be useful. If anybody actually hacks some Postgres and feels we should totally use this for Postgres, like the Outfunk C, like automatically generating Outfunk C, like I've kind of have this working. So I'm not sure if there's like any way to even get this merged at some point in, I don't know, Python, Perl, but I feel it would be really useful to not have this like handwritten and also add JSON support. Like to me, we should like, we have JSON now as an essential feature of Postgres. So. Mm-hmm. Which does exactly this, it's called D-Parse. But isn't it, it doesn't work with DML as far as I know at this point, it's called DEL, but it will, and it actually outputs JSON. Interesting. Okay. Awesome. So it's a work in progress, but it's kind of everything. It's related to this. Yeah. And it's, the bulk of it is being committed for 9.5. Yeah. And then it'll be expanded as time goes on. You'll definitely want to look at that. No, no, I've actually seen the Fred, but I, but D-Parsing, so correct me if I'm wrong, but D-Parsing is turning a parse tree into query, right? Yeah, but first, there's an image step where it turns it into JSON. Ah, okay, excellent. So there's like a parse tree to JSON kind of thing. Excellent. Yes. Perfect. Perfect. So you definitely want to take a look at that. Yeah, quick point. For sure. Some more little things. Yeah, consider a way to get a parse tree more easily. Last time I talked to people about this, I don't think we'll ever get this to be honest in Postgres Core. You can actually do this as an extension though. This is actually what we did before Preject Query is we would use an extension to call raw parser, although I'm not sure if you're actually supposed to do that, don't think so. Anyhow, that's something. And then one thing we should really consider doing is replacing the question mark with a dollar zero or something, right? Like basically something that's parsable just because question mark is an operator and it's really bad that it's used as a replacement character. Again, this is Postgres, fixing Postgres stuff. And then something that I've kind of encountered and again if somebody has ideas on this. It's a problem that I've seen is you have a lot of stat statements data, you want to know where the queries were coming from, right? And so the PGSQL case is one of those, right? You want to know which functions call those queries. Another case would be, I don't know, I use Rails as a web framework and Rails knows which queries it's calling, right? So is there a way to kind of blame or annotate and kind of see this query has been called by these parts of the application that many times. Something I haven't exploded at all but I'd be really curious if anybody has seen anything that's useful there. Cool, so tools and libraries are available here. We still have a bit of time. If you have more questions, we can take them. But I think that's the gist of the talk, yeah. Sure. So it seems like there's some overhead here for collecting all this information through PGSAT statements. I was just wondering if there was any talk about extending that to include things like what's actually, the sessions are waiting for inside the database, not just through statistics, how much I owe stuff. And I'm coming from the Oracle background and I'm thinking of things like in the Oracle where they have wait interface and they classify the different types of wait. So it's more, what's going on inside the internals of the database engine and what's waiting on getting given and how long it's waited for that. Yeah. And I don't know if this is the right place to do it. I know Enterprise DB has something that they kind of have developed. I think it's an add-on thing from that called DRID, I was wondering if there's any, anybody know anything? I personally don't know, but maybe somebody else knows. Yeah, I checked the courage of waiting in locks, but who specifically locks their waiting on? Would you add some sense of the... Yeah, I think overhead is always a concern, right? Like even around stat statements, like there was talk about adding histograms to it and there just wasn't any consensus reached in the mailing list because of overhead, because which bucket sizes do you choose these kind of things, right? So I think it's just really tricky to get anything, like it's not production capable. And reset it five seconds before that happened, how do I figure out what happened? But you mean, wait, it locked up because of locking issues or? I'm saying something took a long time and I don't know why. Yeah. I have stat statements running, but the last time it was reset was a while ago. So this specific thing that caused this may not be as much of an outlier as needed to show up at the top of the list. Basically it would still, I mean you would still have the data, right? So if assuming you kind of are consistent and you look at it afterwards, data would still be correct. But you're right that an outlier, especially like the way how the statistics work currently, it's really difficult to know if like there was one query which took like, I don't know, 60 seconds, right? To my understanding, the best way of approaching that would probably be to log, like use the other functions, which are not stat statements, which locks low queries. That's an extension that's now so that you can actually see how things work. What's the name of that? That's what I was trying, I'm trying to do everything that, something that I think I would add to your hand. Okay, if you can send it to me and I add it to the slides or something, then people can have it. Any other questions, thoughts? All right, cool. Thank you.


Welcome to a much anticipated episode of esoteric Atlanta. I am actually super excited to see what Jenny gets. We should have Tom joining us at some point too. He might be popping into this episode, but this episode is specifically for our brothers and sisters down in Argentina right now who are fighting against the system just like we are. And for all of the people out there whose ancestors were negatively affected by Peronism, who reached out to me. You guys reached out to me in overwhelming emails and I'm so happy to be able to talk about this tonight with Janine. I have no idea what the cards are gonna say. I don't think Janine does either, but if you did not see our part one, I'm gonna put that down in the description box below if you don't know who this person is because we're not gonna go into too much detail about the whole timeline of her life. So please go ahead and watch part one first if you don't know who Avita was or Eva Peron. Please do that first so you're not lost in this video. How you doing Janine? Good, how are you doing? Super, super good and super, super excited. All right, you ready to get started? Nope. Okay, so Eva Peron or Eva Duarte as she was born was born in 1919 in a very poor town in Argentina. She grew to become a radio star at first because of course this was right when Hollywood and the entertainment industry was first radio and then she ended up meeting Juan Peron whom she married. They became the leaders of Argentina. History books will say president. Most people call him a dictator. He is the one who brought in, will say the Axis side. So the N-word from World War II, the bad guys, the Axis forces into Argentina. The ones that did not get their justice in the Nuremberg trials and so, but her story has been very sensationalized. So there's a lot of red flags. Now that we're awake and we understand it, there are a lot of red flags. Here comes Tom. There are a lot of red flags in her story that just shout out to me, dark arts will say that were involved in this situation. So my first question to you is, is the story we've been told about Eva Peron true or not? Hey, Tom. Hey, girls. I've already hit record just to get us on a time frame and I just asked Janine to read if Eva Peron, Evita from Argentina, if the story we were told about her was true or not. Cool. Are you familiar with Eva Peron, Tom? Do you know a lot about her, her story? Is she Evita? Mm-hmm. Madonna. I just know Madonna did a thing about it. I don't really know about it. Which we're going to get to that later on because that's super suspect. Let's back that up a little bit later. So, yeah. Very, very weird story. Hi, Janine. Hey. There's some things true about it, but a whole bunch are not true about it. So it looks like it's got some truth. So we've got that page. So a very small amount is true. They have published a lot about it, including her background. I feel like they might have made up her background. I wonder if she really was born into a poor family. I wonder if she might have been a bloodline family. So this is my next question, actually, because both of her parents, their lineage is from the Basque region of Europe, which is between Spain and France, the Pyrenees. That's the highest concentrated arch negative blood group. Now, her father allegedly was a man named Juan Duarte and he was very wealthy, but he had a legal family and then he had a mistress who had a vita with her siblings and they were super poor. And when he died, they didn't get anything. It's the story. That's the story that was told. Now, the interesting thing is she ended up in Buenos Aires at 15 years old. Now, the folklore is that she was having an affair with some musician in Argentina at that time and that's how she got into Buenos Aires. But then other people are saying, oh, no, that's not true. That's just, you know, a false story. It was her mother that brought her. But now that we know what we know about the dark arts, I'm wondering if the folklore story was actually true or she was possibly pimped out. As we know, they do. As a young girl at 15 to this tango singer. I can't remember his name, so forgive me. It's in the, again, if you guys haven't seen the first video, please watch it. It's in the description box below before proceeding with this one. So it all makes sense. It seems like she might have been, as you called it, pimped out because the reason, so I'm getting the reason she was met the guy, had something to do with money and it wasn't really to her advantage. So she's not making money from it. Somebody else was. So maybe somebody was exchanging money for the use of her, unfortunately. Was her family involved in the dark arts? Her dad, I get. Okay, that makes sense because he was wealthy. Yeah, this is a wealthy man was involved who could be related to her. So I'm gonna assume that's her dad. Interesting, yeah. There's something weird around one of her brothers, too. One of her older brothers that he kind of, after the father died, it's very hazy about what he did. There's some stuff he did to get the family secure and I'm wondering if he maybe knew something about their bilat, is that the brother? That's the dark cult card. That's my deep state dark cult. And I feel like that's weaving all the way through the background of her story. She would have been brought up, maybe even like main mind altered. You know what I mean? I was about to ask my next question, was she under mind control? Yeah. As like what did they call him now? Yeah, an age, so I get it, yes. They call him sex kittens, is that it? What they call those girls? Yep, yep. And so, yeah, I think she was even younger than that 15 that they're saying. I think she was younger. Wow, okay. That doesn't surprise me. I kind of got that. Again, when I, so we're gonna get to this down the road but I am familiar with Ibiza because when I was a child, my mother was really, really, it was really important to my mother that my sister and I be very well educated in the arts. We took piano, we took theater and she would bring us to the theater all the time. So I knew every play. And so I always knew about Ibiza because of the play, the musical, which we're gonna get to. And it really, it sensationalized her story but let's go down her life first. Now, when she got to Buenos Aires, she became a radio star, which we know about entertainment industry, radio back then, television, what they're using that for. So was she placed in that position as a radio star to help promote false information? Yep. You bet. So that's everything about how she got that job was false and falsified. So now we've got somebody who's not who they say they are, doesn't have the background, they said they did. And so she was placed. Yep. I knew it.  It's like our actors today. They're placed there by the three letter agencies. I knew it. And she bleached her hair blonde as well, which we see a lot with these quote unquote sex kittens where she was very, she was from South America. She was very olive skinned, beautiful, beautiful woman. And then she bleached her hair blonde when she got to Buenos Aires. It reminds me a lot of like Madonna, which we're gonna get to because Madonna played her. All right, her husband Juan Perón. So he was, I believe, 24 years older than her when they met. Now they met at a gala for a earthquake that had happened in San Juan, Argentina, which celebrities do this all the time. They did this for Katrina, all these natural disasters. They have these big events and then they raise money and then they do their parties. It's almost like a celebration for them. And we used to like clap for them for doing this. Now we realize there's dubious stuff behind that. Now again, her husband was 24 years older than her. I don't have a problem with there being an age gap in relationships. My boyfriend's 10 years older than me. However, that seemed, that kind of was like a red flag to me because she was like in her 20s and he was pushing 50. She was his second wife. He was the leader. He wasn't the president yet, but with her help, she started using her radio program to promote this idea of what's called Peronism, which is very much a dictatorship. It turned to like a dictatorship. He was really dysfunctional and hard to handle and he wasn't going to get very far in his political career without some help. So they placed her to give some, they liked to guide him. Was she like his handler? Yeah, she was like a handler even though she was a lot younger. But he was literally like floundering or whatever that word is. Yeah. He had a lot of bad habits and he was always just falling flat when it came to sort of things that he was, like they had them all placed to be a leader, but he was always pushing it. Probably cause he had a lot of bad habits that looks like nefarious sub-strictions and party drugs and yeah. Okay. Well, now that before we get to the next question about her death, was she actually born a female? Never thought I would have to ask that question, but here we are. Here we are at the Great Awakening. All boy cards. Wow. All right. This is going to make the next question. So she was born male and switched. Okay. So this is going to make the next question super interesting. So she died, get this guys, get this Tom Numbers. Guess how old she was when she died? 27? 33. Oh. 33. And she died quote unquote of ovarian cancer. Now I don't know what they do when they switch your sex. I would assume that you wouldn't have ovaries if you were changed from a boy. I just would not, I don't know if they go that far. So is that the true story of how she passed away? That was a strategy. So that was a made up story. So this, this card's changing words and things written on paper maybe to suit a narrative, right? Because this guy's switching swords around, swords or thoughts and words to get something to work. So he's moving. So they just moved around the story because she's from, she's dark cult. She's a classic. She was swapped gender at birth, raised and we got a Meghan Markle here all over again. That, that, thank you. That, that, that, when you said that I was like, yes, boom, that's it. Okay. So did she really die then at 33? Was she taken out at 33? Talk about a signal, eh? I know, right? You literally can't make this up. You literally can't make this up. And she died long before any of us were born, by the way. Apparently died. We'll see. Okay, all boy cards again, interesting, fascinating. Every single card in the thing is a boy, a boy, a boy, interesting. Yeah. So I think she didn't die because none of them are death cards. So we have no passing over cards. So they just moved her basically then. Well, then get this because this is what happened after she quote unquote died. They had her body embalmed her husband had her body embalmed. It's creepy. It's creepy. I have, I actually have one to put in our thumbnail for this. And they, so they had her body embalmed soon after she passed away, her husband was the dictator and they, he had to, there was a military coup and he was exiled to Spain. They took her body, apparently Vatican shipped her body to Milan where they buried it quote unquote under a fake name. But there was a guy who wrote a book in 1995 about this. I think it's called Santa Avita where the Vatican allegedly used her body for necrophilia as it was embalmed. Now after they, so now the story, the story gets even weirder. So one, her husband is exiled to Spain, which was the route from Europe to get to Argentina was through Spain. So he's exiled to Spain at this time. He marries his third wife. They get her body back. His third wife's job now is to brush her hair every morning. Her body is laid out on the dining room table and she's got to go brush her hair, whatever body that is. And then they bring the body back to Argentina when he's allowed back into Argentina and becomes the dictator again. And they put her body in the Duarte family vault way far down, like lower than six feet down because of vandalism, which screams tunnels to me, screams tunnels to me at this point.  Her quote unquote death is almost as much as interesting as her life. So was the Vatican using her body for like necrophilia? If y'all don't know what that is, who are watching it, I'm not gonna explain it to you, go look it up. Or whatever body that was. Unbelievable. Well, they might've been using a body for that, okay? Because this is like a, this is a famous card. So because she was famous, people wanted a piece of her. Piece of her, yeah. So they're, but I think they were, they must have swapped the body. Yeah. Because I don't get she left the earth plane then. Okay, so she had three people calling themselves her. So that clones, doubles, I don't know. Three different people playing her. So one of those people could have been used for that, for sure. Wow, now did Juan, her husband, I'm sure he was fully aware of the whole scheme. And yes, again guys, he was the guy that let in, he was a huge, allegedly he was a huge fan of the Axis powers in World War II. I can't, we can't say the N word, but the bad guy, he was a huge admirer of them and allowed them into Argentina. He had a lot of issues with that whole thing. So he actually, so he was part of the dark cult. And this was part of some ritual. So this was like using her or one of her doubles to do this was part of a ritual or a repeated ritual. And yeah, he didn't like it actually. He went along with it because he had his arm twisted to go along and I also get money was exchanged or they let him continue having the kind of wealth he had or whatever, they helped him out of some money trouble, something like that. But he had to go along with this. I don't actually get it, he was fully on board with it.   You need to get out of that hair and sound. That's a boundary that's broken. But I don't think these families and these people, they don't expect to have a good marriage, okay? They're placed and she was probably a sex kitten as well. Oh yeah, because she ended up coming back with one, I think Isabella was her name back with him too, Argentina when he was allowed back in and he became the dictator again. And then when he died, she stepped in and took his place. Yeah, absolutely. Now, okay, let's talk about the musical. So Tim Rice and Andrew Lloyd Webber were the two that did the musical, it was their third hit. They had done Jesus Christ Superstar and Joseph and the Amazing Technicolor Dreamcoat. Tim Rice claims that before they wrote this musical, not nobody knew who Avita was outside of Argentina. She wasn't famous globally like she is now and he saw her picture on a stamp when he was a little boy and he was mesmerized because the only female he had ever seen on a stamp was the queen because he's English. And that's why he had to do this play about this woman and Vita. Is that true? Is that story true or was there a nefarious reason for them to create this play that revolved around her life? I was a totally made up story. He's actually incredibly narcissistic. I even feel like he was a little hesitant to do it.  Tim Rice or Andrew Lloyd Webber? Both of them, they did it to, or sorry, you're asking about, well, the question was around Tim Rice because of let the story goes that he went to Andrew Lloyd, his buddy, that they had done these two blockbuster smash hits in the West End and now they're gonna do this third one. And so he went to his buddy and said, I have this great idea to do this story around this Argentinian first lady and her crazy rags to riches story. She died so young and she was called Santa Avita, the saint of the people. Oh, that actually, let's back up a little bit going back to that thing. She had an organ. Is that, it was totally planned? It was all just sort of advertising. It was all just to push the whole agenda. So that's how they make money, right? So they, the story was making the money. Yeah. What was, I'll ask one more question and then there's a question I forgot about her life, we'll go back to that. Was this story, is the music in that story? Cause every, you know, don't cry for me, Argentina. Like Elaine Page played her, we'll get to Madonna soon. A lot of big names. Was this, is the music like a spell? Is it like a spell? Cause we all know the music, we sing the music. That's a big old yes.  It's just, they've made it so obvious. So I bought another yes. So as people continue to sing it and watch it and play it, it can keep working on ya. Oh my goodness. Y'all, if you haven't seen, if you, we'll get to Madonna soon but let me back up for a second. There was a non-profit that Eva Perone and one from Grand when they were in, when they were dictators basically, the Eva Perone Foundation, they like strong are, they made people donate and you know, they say they did some good but a lot of people say that they actually were funneling money and it sounds a lot like the foundation that's run by or was run by our dear friend, Hillary, which I'm not gonna say her last name, that foundation that has ties to that, that beautiful island where it was owned by Jeff, little Jeffy. Was that foundation, they, was that run the same way as this other foundation that we have now today that's tied to Haiti? You know. It looks like it was, the money wasn't going to the, like about 90% of it. So we got a nine, five, yeah. So most of it was being taken elsewhere like money, but they threw a little bit of coin over, you know, just to, just, just like, didn't that, that Hillary's foundation, didn't they build what six houses or something or four? Like a smoke screen. Yeah. Like, oh, look, we're doing good. I think it was literally, you could count it on one hand, how many? Yeah. Yeah. One, I think too, they were working with like really poor, poor stricken communities in Argentina, poverty stricken and where children are easy. Yeah. So I wondered about that, that they might have been doing the same thing that that other organization was doing allegedly, we'll say allegedly, although we know, we know. Okay, cool. I kind of felt that way. All right. So let's get to Madonna. So Madonna played Eva Perone in, was it 1996 that the movie came out? And apparently she like wrote the director and like begged him to, that she had to play this role, that she felt like she was a Vita, that they were the same. Is there a reason, sinister reason why they had Madonna cast as a Vita? Because we all know about Madonna now. We all know who she is. So. Oh yeah. It was her karmic. She felt it was her karmic duty. I want to say karmic or I want to say, let's say this destined, she felt destined to play her. And it was going to get her more clout with the club. Okay. The bad guys. So it was, and she did desperately want to do that because it was going to get her ahead somehow. It was some kind of stepping stone for her to get even more wealth abundance and or even more attention in the club, club being the dark cult. What about Antonio Banderas? He played the part of Che Guevara in that movie. And in real life, allegedly Che and Vita never crossed paths, but Che does narrate it. And I have a feeling he was probably a puppet as well. But I've always wondered about Antonio Banderas. Are you hearing any numbers, Tom, that come up with this? I've got some questions I wanted to ask. Okay. Argentina, we love you guys. And I thank you so much for emailing us and letting us know that you wanted a deeper exploration into this because this is truly insightful. It's really interesting. It keeps seeing Antonio's off the earth plane. Really? Yeah. Yeah. But did he? What's your question? That kind of answers it to me. I said, how did he get off the earth plane? It had something to do with the alliance. And somebody brought evidence or justice to him. We know he was allegedly a part of some really high up order in the Catholic church too. So when I read that, I was like, okay. So I got two more questions and we'll go to Tom. Everybody said that Avita looked a lot like Lady Gaga. Is there any connection between Avita and Lady Gaga? Well, they were both born male. No, I'm not necessarily getting bloodlines or they're not related. They don't look like clones of each other. And guys, remember they do things to these people.  Like that could just be a coincidence. Now the last question I'm gonna ask and a lot of commentary and I don't even know how true the commentary is at this point, they talked about Mr. T. When Avita came to New York after it was a success in London, the Americans were very resistant to the play because it glorified like a communistic government it glorified it and it was very resistant to that because the opposite of our government system. And apparently they claimed that Mr. T saw the play like six times in a row and claimed to love it. When I heard that, I immediately thought he was studying something. There was something about that that he was going to study. Or if it isn't even true because we don't even know if anything they say is true or not. I actually get he didn't see it. So I'm not seeing that. So they literally, one of the commentaries I listened to they were like, yes, he saw it six times in a row. Maybe he was learning how to be a dictator. And I was like, no, no, no. He didn't see it.    We'll say, wow. Okay, so there you go guys. He never saw it. This is him towards it. That looks like he didn't even make it to it. The show. He's resisting. He probably already knew at that point exactly what they were up to, to be honest. So I thought, well, if he went he might have just been studying it. There was something he was studying. But okay, okay. All right, I'm gonna pass it over to you, Tom. Is it V to E V E T A or E V I T A? E V I T A. Okay. So V to comes to 57. Tesla, Mary, George and Argentinians 89, which is August. Oh, we just lost Tom. Let me text him. We lost you. Shoot. I'll give him a second to see. I know it's late over there in the UK, but yeah, I will say guys, if you go, now I honestly like, even though Madonna is gross and nasty, she did do a really good job in the play, probably because she are the movie, probably because she knew exactly how to play this person because it sounds like they had very similar lives, legitimately had very similar lives. And if you guys want to go watch the movie version of the musical, it is available on YouTube to watch. I'm not opposed to people. I mean, here's the thing guys, my boyfriend actually talking about this before I jumped on in order for us to move forward into a new world where good, good rains, we have to understand the dark. We have to understand what happened. We can't ignore it. Yeah, I agree. We can't ignore the shadow part of humanity. And this is true in a lot of spiritual paths, especially yoga, you can't ignore the shadow. And so I would suggest people looking at story. If you're awake and you go back and watch the movie or look at her story, you're gonna see it. You're gonna like, I did. You're gonna all of a sudden like see these red flags of what, and notice the thing about the dark arts is once you figure them out, they tell them themselves, you can see it. It's like, it's true. They don't try to hide it, like it's all there. So let me see if Tom got back, see if I can get him. Let's see. And then if we can, I appreciate you doing this so, so, so much Janine. I'll let you go. I think Tom just got disconnected. I appreciate you coming on last minute to do this quick little episode for us. I appreciate it. And to all of, again, all of our fellow, we can't say the P word anymore because apparently that's not allowed now, but you know what we're talking about, P-A-T, you know, that word. The movie, No Gifts and Dead. So all of our brothers and sisters in this fight down in Argentina, we hear you, we see the truth for everybody's family that contacted me, that was affected by this couple and the pronism that happened. We hear you, we see you. And I do believe that we're at the precipice now and everything will come out and everything will be shipped and changed for all of us. So please, Argentina looks like a beautiful, beautiful country. I would love to visit it one day. Hold the line guys, we're almost there. So any parting words, Janine? Let's see, let's see what the universe wants to say to Argentina. Okay. A lot of what you're seeing politically in Argentina is there's a shadow government underscoring your pretend government. So we got Mr. T and the White Hats, some version of them, some group of them. So your people are just puppeted by the good guys at this point, just by the way. And things are gonna get a lot better according to the universe for people in Argentina. Even though it's been hard, it says in the next six months you're gonna see a huge transition. Like I think the world is. I really believe the world is. Yeah, so hold the line guys, it's coming. Time to change it up. Time to, the karmic destiny of the world is not to be continued to be ruled by these dark demonics. They're getting the toss. So you will not have to worry about cronism anymore, you guys. It's gone, that's yesterday's news. So please hold the line, people in Argentina. And I know a lot of people from other countries in South America were also affected by them. We hear you, we see you, and it's all good. It's all good. I know it's so frustrating. Ginny and I were just talking off camera about like frustrating because we just wanted to change. So it has to eventually, I mean, it's getting to the precipice. So hold the line guys. Well Ginny, I appreciate this so much. We'll have to schedule something soon. Again, your episode with the current events and all that kind of stuff coming up. Lots of love to you. I'll talk to you soon. Bye. All right guys, we fold you up. We're back. I, we just got Tom back. He, his internet messed up our, so we lost him. So he's back now. So we're gonna jump with his questions quickly before we close out again for a second time. Okay. So Ginny, I've got a question about Nelson Mandela. I've been told that he was cabal. Can we look at that, please? I don't know if you've done it in the past. That's actually, yeah. Yeah, I did, yeah. He was, everything about him was fake. Okay. Yeah, he was, and the person that did time in that jail wasn't him. Okay. Yeah, it was, he was, he was hidden somewhere else. And everything about his whole story was fake. He was a totally, thoroughly bad guy. Right. So a bit like the Mother Teresa kind of end of the spectrum. Yep. Do we know who it was that was in there with him instead of him? No, it was, I didn't get who it was, but I just thought that he had a couple of different people playing him in various different, Okay. Various different times. So he didn't spend even day one in a cell, his real life. Really? Yeah. So it's all a complete publish. To be a martyr. Right, okay, thank you. Well, that confirms it, because that's what I'd let elsewhere. So earlier on in the first part of the episode, you were doing like he or she. So there's a few actresses I just wanted to find out if they were boys or girls at birth. I think I know the answer to most of them, but I just like to terrify it. Julia Roberts, boy or girl? Oh, boy. Boy. Yeah. She was born here in Smyrna, Georgia, which is just up the street. It's a suburb of Atlanta.  That's why she was with Rupert Everett for a while. Cindy Crawford. Is that Mummy Dearest? She's the model, she was a super model. She went out of Richard Gear for a while. Boy. Boy, okay. Yeah. She looks quite like Bruce Jenner now. Wow. Yeah, they don't age well. Yeah. Even like Catherine, your Catherine, William and Catherine, she's not aging well. Right, okay. How do they have children if they're, I'm kind of confused about that. It's always if they don't, sweetie. Yeah, they totally use surrogates. Didn't they take their DNA though? And is that why the kids, I mean, were they able to take like? Personally, when I've been looking at it, all the kids are mixed outside of it, just like they just look for DNA. In the bloodline. So it's all like very confusing. I don't think any of the kids are directly related to the actual, whenever I was doing them on the Royals, for instance, none of the kids had anything to do with who they said the parents were. It was absurd. Yeah, okay. That makes sense. I always wondered like, I know that they'll have a bump, but it's like how, they have these kids that kind of look like the parents. Like how are they able to do that?  This is y'all, this is... How about Rockdown Welsh? Ooh, good one. She dated, was she Mick Jagger's girlfriend for a while? No, she was like a, well, maybe, she was like a huge like sex kitten in like when I was growing up and I was born in 61, so, yeah, Rockdown Welsh, I mean, she was like yikes, right? Like yikes, hyper curvy and stuff. Oh my goodness, you're not gonna believe this. She was a boy. Yeah. That's unbelievable.  When we did Dolly Parton, she was a boy. Yeah, yeah.  So, you know, like, like so she comes across like she's in drag, so it kind of makes sense. Yeah. Say that you... How about Bo Derek?  Bo Derek was a male. Yeah, that's what I'd heard as well. She was 10, right? And the movie 10? She was 10, yeah. And there's an English girl called Cheryl Cole, who's kind of... Yeah, we can look at Cheryl, please. Oh man, hilarious. Okay, so interesting, could have been a girl, but from an old family though. Is she, okay. But these are, this is girl and girl, so born a girl, but she was still, she was in the dark cult. Right. So she could have had SRA or programming or... Yeah. It's usually the oldest child. Isn't it like a lot of times the oldest child, like it's the change, sometimes it's all of them, but and then the other ones are used for other purposes or something. I know there's some guidelines they use. Sometimes they do all of them, like Trudeau's, all of their kids are swapped. Well, that's right. Now they're saying that Justin Trudeau's wife, even though she's this little tiny thing, is a male, was a male. And when you start looking at it, actually it could be true. And that he might be a female. It's like... Really? Pretty boy. Yeah, pretty boy. What about, you spoke about Andrew Lloyd Webber and Tim Rice. Andrew Lloyd Webber, dark cult or dabbled with it or got out, what's the truth about Andrew Lloyd Webber? Okay. What was that about again? That was, he was in the movie? He was part of the musical of Vita and other, you know, Jesus Christ superstar and... Santa of the Opera, he wrote. Santa of the Opera, yeah. He used to be married to Sarah Brightman, whether that was a real marriage or not. Again, I don't know. He looks like he was forced to do those things. Okay. He was part of the, he owed these guys. So we had to do their bidding. Right. That makes sense. He was very talented. So he could do the spell casting with the music. And you know. And last question. X Factor here in the UK has stopped now after 17 years. Simon Cowell's the head of that, yeah. And so just wondering is that, I mean, I'm assuming it was all part of the cult, but I'm just wondering what, you know, what info we can get on that by looking at it. So it's Simon Cowell is one of his productions. And now it's all stopped. And it's gonna, they're gonna do something else. But, you know, if that was this kind of main thing, really, and it's just stopped. And Cheryl Cole was one of the judges on that for a while as well. So something big happening around a judgment to do with him and about things hidden about his life that you might not know about. Okay. He might be facing judgment is what I'm getting. And then this was him. So he might actually have been rounded up. Yeah.  And it was very peculiar. The codes on it were, it was all like, it just didn't seem particularly real. And then when you saw him, the new version, he looked like he definitely had a face job again or, you know, an actor or a clone or something of him. You're talking about Simon Cowell, right? Yeah. Yeah. That I would definitely, because he's been here in America too with American Idol, I would definitely say, I would be shocked if he wasn't dirty. They just literally use these guys' image. And I think they make multiples of them. And we've been told that they do. Yeah. And so many people have such a hard time with that, but it's like, we're just gonna need to get over it. There's clones. And they make multiples of all these people. And it's starting to become really obvious, almost painfully obvious. I mean, guys, we don't even know what we're standing on. We don't even know what the earth is. Like, that's how much we've been lied to. So we just have to be ready for anything because at this point, I mean, I've been, I'll let you guys know, starting Monday, which I'm gonna air this episode Sunday. So tomorrow, we're restarting our new series on New Orleans. And so I've been doing a lot of digging into like vampirism and I wouldn't be shocked if some of these people have actually been around for a lot longer than all human life. So they always tell us the truth in the movies. Yeah, they do. They do. One last, last question girls, before we go. August 15th, Janine has been brought up a few times. I did a newspaper decode on that today and it was there on the front of the newspaper. So August 15th, what do you see around that, please? August 15th, starting. Something looks planned to do with Mr. T. Okay. So there's a big plan and or he might have, something could have already gone down and then the fallout, cause this is in the past and it has something to do with Mr. T and this guy's more in the public. So maybe he publicly gets reseated. That's just happened, maybe. Can we ask the direct question? Will he be inaugurated publicly on August 15th? Cause that's what Steve Bannon said. And then he said later in August and I think Mike Lindell said about August and. That is the desire. Okay. That is the, that's what they're shooting for. Okay. How long guys? That's like two weeks from now, so. Cause August fit, the numbers on August 15th, August is 89, 15th is 93, add them together, it comes to 182, which is the inauguration, inauguration is 149 and the inauguration is 33 plus 149 comes to 182, which comes to August 15th. Wow. So, you know. And I will say too, Mr. B here in America is enforcing via cure for all of our military by September 1, which totally goes against any type of Nuremberg law or anything like that. And so basically it feels like we're at, like we don't, we literally can't go any further. I don't buy any of it. I don't buy, I think all of that stuff gets dropped. I mean, it should have already, but I feel like that's going to, they're going to have to drop it cause it's not going to make, people are gearing up for so many lawsuits. It isn't even funny. Like there's no way they could survive that without the amount of awoke people, right? Awakened people or whatever. And our constitution, the American constitution does allow for Americans. I'm not going to say the, maybe I'll write the M-word on the screen, a group of people. It allows for a group of citizens to get together in an organized group and go to the Capitol and basically change the Capitol, be careful about what I say and replace the leader with another leader. Like we have that, that we allow that. Don't understand what I'm saying. I'll say it and I'll bleep it out in militia to go in and overtake that our constitution allows for that because we have the right to these things, you know, these things. And the military, there's been police officers around the country and military, United States military that have been putting videos out cause the Mr. B wants to take these things away from us and that's our second amendment, right? You can't mess with the constitution and the military has been putting out videos saying our men in the military and women saying, if he were to try to do that, who do you think's gonna be the one coming to confiscate that? It would be the military and the military is not gonna let that happen. The military stands for the people. The military would be helping the people organize to have a second, you know, American revolution at that point. And so we're at that precipice where we can't go any further without there being like a massive, massive thing happened. So hold on guys, we're almost there, we're almost there.  I never want to see another face as long as I live. Yeah. Ginny, did you manage to get those pictures I sent you of those portals in Vancouver? I know I saw your mini video you've been in Vancouver in the last week and I just wondered if you were able to see them. What could have happened if I don't, if I'm not hooked up to wifi, which I wasn't a lot of the time. Oh, okay. What could have happened is they won't come through on messenger and then I just don't get them. Apparently there's some kind of beautiful portal. I can't remember the name of it, but somewhere in Vancouver, there's like this bridge and supposed to be a really special energetic portal, but maybe we can look at that next time. But just maybe think there are a lot. So yeah. Okay, cool. Before we sign off, I shared Janine's video from Vancouver, the emergency she won, she did. Y'all can see it on my community tab where she read the military guy that's you know what I'm saying about what's going on. Even though he's not necessarily a Trump lover, so we discover now. But at the same time, he did have a good point to get your house in order for sure. Yeah. And somebody asked me about like animal supplies and about cats specifically.  We have lots of dog food, but if you cannot find enough cat food or dog food to store up for your animals, go and you can use Google for this. This isn't sinister. See what human foods work for your animals. So type in like eggs, felines and see if that's okay on their system. Our dog can eat eggs and rice and potatoes too. Somebody asked me about that. So I just want to put that out there. If you have cats or dogs, just figure out what human foods can also work for your animals as well. So you have a lot of that on storage too. Just in case that's needed for a particular time period where we might need a backup with more food and water and all that kind of stuff. So I just wanted to put that out there since somebody asked about that.  You have cats. What do you know any human foods that work for cats that won't mess up their system or felines? Well, my cats don't eat human food. I try to feed them, even fish, they won't eat it. They only like cat food.  So I could stretch it for probably weeks with the dry food amount I have. As long as I put a little wet food on. So buy enough for a week of canned food, but it's expensive I know for the good stuff. And then you just put it on top the dry food and then entice them into it. All right, so cat owners ask my ask about cat, like I'm a dog owner, so I'm not 100% sure. So there you go, that's an awesome idea. The good thing about cats is when push comes to shove their hunters, so they won't go and hunt. My cat is a nasty hunter. Like she'll get rabbits, she'll get birds of all sorts unfortunate for the birds and bird lovers. And but mice, like she's unbelievably good at catching mice. There's no mice anywhere near our place ever. Yeah. Does she leave them on the doorstep as like a little gift for you? That's what our cats do. Yeah, usually partially chewed up. Yeah.  And but he couldn't figure out how to end his rodent problem. And my dad just goes, stop feeding your cat. Just stop feeding your cat for a couple of days. And so he did it. All of a sudden he didn't have a rodent problem anymore. So cat dogs, my dog, he's like a little prince here. So we actually serve him his food on a tolly dish from India, because he's from India.  So you just got to do that with your animals too. And we're in a situation like this. So all right, well, there you go guys. Thank you so much guys. I appreciate it. Thanks Bryce. Bye.


The Lone Ranger! A fiery horse with a speed of light, a cloud of dust and a hearty hyal silver! The Lone Ranger! Before this exciting adventure, a word from our sponsor. Remember way back when, when you were a kid growing up, you always found time to make a side trip to the little grocery store down the block. That's where you'd find the big display of Mickey snack cakes. Remember? Didn't it make you happy to pick up a devil delight and take a whiff? What a chocolatey smell! And remember the coconut sprinkled gym jams or the cream filled banana flips? Well, today, marita bakeries still make the Mickey snack cakes you used to love as a kid. That's why Mickey snack cakes are called smile food. The bakers know they're spreading smiles and sunshine wherever Mickey snack cakes are sold. Find a little neighborhood grocery store today or a big modern supermarket. Look for the display of Mickey snack cakes. They're all there like you used to remember. The devil delights, the gym jams, the banana flips. Treat yourself to some fresh memories. Treat yourself to a Mickey snack cake. Have a smile on us. No where in the pages of history can one find a greater champion of justice. Return with us now to those thrilling days of yesteryear. From out of the past come the thundering hoofbeats of the great horse Silver. The lone ranger rides again. Come on Silver! Let's go Mickey! I'm Silver! Old Humby was a mountain with sides that were almost perpendicular in many places. The trail that circled it was fairly wide enough for the stagecoach. On one side of the trail the rock wall rose abruptly. On the other side there was a 40 foot drop. The cliff at the bottom of the drop was broken by a large opening that led into a cave. The lone ranger, grinched to the skin, was familiar with the locality. He made his way through the darkness toward the cave. Easy, easy big boy. Wait right here, Silver. I'll go inside and look around to make sure of our accommodation. When the masked man was in the shelter of the cave, he drew from his pocket a bit of candle and lighted it with a match from a waterproof case. While he was inspecting the cave, he heard the sound of hoofbeats echoing faintly. Then he realized that the stagecoach trail was almost directly overhead. Brandy and the guards withered again for driving rain as they near the most dangerous part of the trail. How is it, Brandy? Slippery? Body slippery. Is there a last chance to turn back? Trail narrow from here on? Oh, we can't turn back. Get up there. Get along now. We got the bankers' goal to put on board the train and send them in band. Coming to the narrow place now, Brandy. Look ahead. Yeah, I see it. We'll make it all right. Get up there. Get along now. Touch your fingers, Brandy. Here's where we're off or close to the edge. Easy now. Easy now, boy. Get up there. Get along now. Hold on! A sudden flash of fire and an ear-splitting explosion came without warning just ahead of the horses. The narrow trail was torn from the wall and tons of rock smashed down with the horses, the stagecoach and the occupants. The low ranger had been inside the cave at the time of the blast. He was sealed there by the rocks that closed the entrance. Silver had fled in sheer terror, but after the rock stopped falling, he returned to the sealed-up opening. He knew that his master was somewhere beyond the heavy stones. He pawed at the rocks, and then he stopped and raised his head. Then he pawed again. The voice of his master came through crevices. Silver didn't want to leave his master, but the command was unmistakable. As it had fallen, the weather showed no signs of clearing. The rain beat down on the trees and on a small lean-to of thatched pine boughs. Inside the lean-to it was snug and dry. Tatl and Dan Reed, the nephew of the lone ranger, puddled close to a tiny fire. The masked man had left his friends there while he visited his secret silver mine high in the hills. He had planned to return sometime before morning, but Tatl was dubious. All right. It's pretty bad, mate, but Tatl. Well, maybe he can camp. Well, I hope he can find a dry place. Oh, Dan, wait a minute. What's the matter, Tatl? Maybe we hear books. You do? We soon, soon know. I'll open the top of it. Can you hear anything now? Uh, me hear them. Books come this way. You sure have good ears. I can't. Yes, I can. I hear them. That sounds like silver. And it sounds like it can come without writer. But Tatl, if he's coming without a writer, it means... Well, there he comes. Here's silver. Scouts know if silver comes. Tatl, you will write the saddles empty. What is it, silver? Tatl, we strive to tell us something. Dan, get horse saddles. Something's happened to the lone ranger. We follow silver. Dan Reid and Tatl rode through the hours of darkness and rain following the lone ranger's gallant horse. Dawn brought a lifting of the clouds. The rain stopped and the sun rose with welcome warmth. But the masked man didn't see the sun. He was surrounded by the total darkness of the cave. He worked steadily, moving rocks and digging at the wet dirt with his fingers. The ground was nearly dry when silver halted at the pile of dirt and rocks before the cave and the wreckage of the stage nearby. Tatl, we must be somewhere in this mess. Tatl, did you hear that? Keep us happy. We hear silver bring us. We move rock. Get you out. Tatl and Dan Reid found heavy poles of hard hickory in the wreckage of the stagecoach and using these as a lever pried away rock after rock. After an hour of hard work, the opening was cleared and the masked man wriggled from the cave. Golly, I'm glad you're all right, sir. Yes, Dan, so am I. For a while, I didn't think I'd see any of you again. Well, silver come to camp. We follow them back here. One more dead eye, O.U. Silver. What happened, sir? I was in the cave. I heard a stagecoach. Then an explosion. Rocks fell and... Look up there, Tatl. The face of the cliff is smooth. There's no longer a ledge where the trail used to be. The wreckage of the stagecoach is right over there. Oh? Well, we look in stagecoach at two pillars inside. One nearby with shotgun. All dead. The horses? They were dead, too. What do you think that explosion could have been? That's what I'd like to know. Help! Help! Who's that? Voice come from that way. Help me! I see him. Come on, Tatl. Maybe he was on the stagecoach, too. He might be able to tell us what happened. Help me! Help! Help! Steady there, steady. Don't try to stand up just yet. Lie down till we look you over. Dan, do you have tanteens? Yes, I'll get some water. The stagecoach. Yeah, badly hurt, Tatl. You were on the stagecoach? I drove it. It was a blast. It blew off the trail. Oh, what's in this, Chess? I got it guarded. I got it guarded with my life. Steady. He's lost consciousness. No bones, broken. Here comes Dan with the water. That'll help. Here you are. Oh, thanks, Dan. Golly, he's unconscious. Tatl will take care of him while I see what's in this wooden chest. We'll continue our lone ranger adventure in just a moment. Time sure have changed. Time was when people saved cookouts and picnics for summer. And lazy Sundays spent under a big oak tree in the town park. Well, today's family eating habits are much more flexible. Mom might have forgotten how easy it is to fix a cook-in for lunch, maybe with hot dogs and baked beans, or a casual dinner with cheeseburgers, soup, and salad. And as you're planning your easygoing meals, don't forget to invite Merida, as in Merida hot dog and hamburger buns. Remember, Merida? We're the people who bake while you sleep. That's the only way Merida can promise you'll find the freshest rolls and bread and cakes the very next day on your grocery shelf. But remember, we bake our famous hot dog and hamburger rolls all year long. So relax a little. Plan quick and easy meals your family will love. And don't forget Merida. Merida enriched hot dog and hamburger rolls. We're not just a summertime thing. Now to continue. Rambly, the young driver of the stagecoach, was badly bruised and had a cut on his head. But his injuries were not serious. When he regained consciousness for the second time, with a lone ranger, Toto and Dan Reed at his side, he looked around. No. Then his eyes cleared as they focused on the masked man. Masked? Yes, Rambly. You know my name. We went through your pockets and found credentials. Oh. Don't try to stop just yet. Yeah, I guess I'm weak in her thought. You were driving the stage when I went over the ledge? Yeah. I remember going over. Next thing I knew I was in a clump of shrubs. It was morning. What? What about the others? The shrubs must have broken your fall. The garden two passengers were killed. Killed? You were clutching a wooden box. Box? That's right. Where is it? We've taken care of it. There's nothing of value in it. Nothing of value?  Rambly, there was no gold in the box. Just pieces of iron. Iron? I know it held gold. We'll talk about that later. We'll talk about it now. You stole the gold. You took it out and put it in the iron to take its place. That masked you in outlaw. Oh, wait. Think that over, Rambly. I'd want a gold from the chest. I could have taken it and written away, leaving you here. Might be days before anyone found you. There's no stagecoach due for over a week. Yeah. I'd have no reason to replace that gold with iron. Of course not. But that mask... We want to help you. And we want to find out who caused the explosion that took three lives. And nearly took yours. I earned in the chest in place of gold. The chest was locked. Yes, I broke the lock. While you were unconscious, I rode around the side of old Humpy and found a path leading to the ledge. But the ledge is gone. It's blown away. All right here, yes. But the trail hasn't been damaged around the bend. At one point on the trail, there's an overhang. Underneath that overhang, the ledge was fairly dry. Not much rain got in there. What about it? I found some footprints of heavy boots. Also, the marks of horses' hooves. Both boots and hooves had tracked in mud from the trail. I wonder who'd travel that road on horseback. Someone rode in beneath the overhang. Dismounted and went out on the muddy trail on foot. Then returned to his horse. He could have been the man who set that blast. But why would anyone want to wreck the stage? Killed the passengers in the garden.  Who? Maybe that's it. Maybe they were after the gold. There was no gold. Yeah, that's so. Perhaps a man who shipped the chest planned to destroy it. Perhaps he hoped to bury it beneath a lot of rock. So it would never be found. Then hold the stagecoach company responsible for a heavy loss. The banker. I wonder if he'd do a stunt like that. Is he a good horseman? One of the best. He came into the office last night and persuaded my boss to let the stage go through. He said the chest of gold had to get to the railroad. I see. And he could have gotten here ahead of the stagecoach too. Even if he started out later than I did. There's a cross-country trail. It's too rocky for a stage, but a single horse could make it. How do you feel, Randy? I'm mad. I'm going back to town and deal with Bangkok. Eddie, we have no proof of anything. But if his boots and his horse's hoofs match the prince... The prince was smeared. We couldn't match them up. But three men are dead. Someone's got to pay for that. Someone is going to pay. All right. Is there another stagecoach at the station in Red Rock? Oh, yes. Horses? Well, plenty of them. But why? I have an idea. We're the only ones who know that the trail has been destroyed. You feel up to it. I'll take you with me on silver. Oh, I'm all right now. Good. I have some old clothes in my saddlebag. It was blown to a prospector. They'll be large for you, but they'll be better than the ones you're wearing. Clothes? But for what, these clothes? Well, those clothes, and a battered old hat and a mask. No one will know who you are. Why shouldn't anyone know who I am? Because we want the killer to think that everyone perished. We'll have to wrap those others in blankets and take them into the cave. We'll send the coroner for them later, after we've found the man who killed them. In Red Rock, the sun dried out the mud. There was no word of the disaster that had struck during the night. Van Croft closed his bank and went home at the usual hour. Grisco closed and locked the stagecoach's office at sundown. He went to the rear of the building to get his horse. As he entered the stable, a mask man stepped from the shadows. Hey, what's... Take it easy, Grisco, and you'll not be hurt. Mask? Who are you? What do you want? We're going for a ride, one of your coaches. All right. I'm... I'm sorry, Grisco. This is high-handed, but I think the aim justifies the means. What are you going to do? What are you going? Right over here, please. The horses are already in harness. Keep an eye on him, Tutto. I'll be back with the bankers, him as possible. Oh, me too. The banker? You mean Mr. Van Croft? Yes, he's taking a trip with us. He's gonna be sober today. Move it away! The bankers sat at the supper table. He thought he was alone in the dining room until he heard a voice that was low and well-modulated behind his back. Don't make a noise, Mr. Van Croft. What? Push your chair back from the table and turn around slowly. Who are you? What do you want? Masked. I'm sorry, but you'll have to finish your meal later. Put down that gun. If you think you can come into my home in this manner... I am in your home. And I'll advise you not to shout and bring the cook from your kitchen. What do you want? I've come to you because I want the most responsible man in town to go on a stagecoach ride. Stagecoach ride? Come on, Van Croft. Friendly, wearing a mask and a clothing of a prospector, guided four horses skillfully through the moonlit night over the trail he had followed through the rain the night before. Inside the stagecoach, Tahoe sat next to Drisco. The lone ranger and Van Croft shared the opposite seat.  Where are you taking me? Where are we going on this trip? Look out the side window. It's all bumpy. That is how it stands out in the moonlight. And not interested in mountains at this time of night? I thought you might be. I'll see you here. I've been patient with you. I've been patient as long as I'm going to be. I want to know where we're going and why. Take it easy, Drisco. I demand that you stop this stagecoach right now. Oh, you demand? Yes, and I'm ready to back that demand. Hey, look at this girl. You're covered. Sneak gutter. Tell that driver to stop at once or I'll shoot. Be careful with that. I can use it. I won't hit you. On a trail as rough as this, it's pretty hard to handle a small gun. Especially when the man who sits facing you can kick. My arm. He'd take him. Got it. Go, let go. Keep the gun, fellow. I'll sit back there and be quiet. Never much farther to go. Listen, I wouldn't have shot you. I was just trying to... But tell your driver to stop. Tell him to stop right now. Why? Don't ask questions. That's all. Too far to go. Oh, no. No reason to stop here. Let's go. But we're on the ledge. We're going around old Humpey. That's right. It's the usual trail. Excuse me. What's the matter with you? Stop. Stop. Driver, stop the stage. Your name of mercy. Stop or we'll all be killed. Why should we be killed? This trail is... It's the regular trail. It's used every week. It was used last night. Get up, man.  More voices at a time. Yes, sir. That voice, it can't be... Stop. Stop the stage. The ledge ends. The trail is gone. He's gone. What do you mean? He'll all be killed. As soon as we get him out of the next bend, we'll drop off. Oh, so it's you, Driscoll. All right, Randy. You can stop this. Randy. Randy, you call him Randy. You're the one, Driscoll, who set a blast. You destroyed the trail. No, no, I didn't. How do you know? There is no trail. I didn't. What does he mean?  The stage went through here last night with your chest. We've blown off the side of this mountain. Chest held nothing but iron. Iron? Yes. You and Driscoll were the only ones who knew about the goal. For a time, I thought you had got it to cheat the stage line. But Driscoll's guilty knowledge betrayed him. I heard Driscoll. Randy, it is you. You bet it is. And I can take the mask off now. You murder and poke it. Where's the goal? The goal. Between the time you accepted the chest for shipment, the time the stage coach left Red Rock, you took out the goal and replaced it with iron. No, no, I'll make the killer squeal. No, wait. Let me have him. Oh, please. I'll drag him out of here and toss him over the side of this trail. Don't. Let him die on the rocks below the seamish Charlie Pike to guide in those two passes. Oh, no, Randy. Let me go. Where's that goal? Come on, Driscoll.  Don't let him. I didn't mean to kill anyone. I have a right to a trial. The law. The law right here is what we make it. Bencroft. Bencroft, stop them. I'll give you back your goal. It's in my desk. All right. All right, Randy. Let him go. Ah. He got rope ready. I'm a fellow. This is why we took the ride. Get out of the stage now. Can you turn around here, Randy? Just about. The trail there is just ahead. Then, Taitano's horse behind the stage. You can go back to town with me. Right. By the time you get back, Randy, the corner and the sheriff will be waiting for you. Oh, Mr. Bencroft. You and Randy are witnesses to Driscoll's confession. We should be eyed. And the Golden Ease desk will please the case. Oh, why did I do it? I should have known better. I was just looking at that lock. I tried a key and it fitted and I was tempted. Randy, you and that man deserve a lot of credit. It was his idea, Mr. Bencroft. I'll see that you were rewarded, Daddy. I'd like to reward him, too. I don't think he'd take a reward, sir. Yeah? You see? He's the lone ranger. I would, too. I'd like to just take a minute to talk to you about Marita Brown and Serv Rolls. As you know, Marita means all that's fresh and good that goes into and comes out of your oven. And Marita Brown and Serv Rolls are the ones that bake to a flaky golden brown in just six minutes. There are 12 delicious Marita Brown and Serv Rolls in every package. And if you don't use them all right away, that's all right, too. Marita guarantees freshness for several days after you buy them. Of course, in your freezer, they'll last indefinitely. But don't wait for company to have Marita Brown and Serv's. Your family would love to have a basket of fresh, steaming hot rolls with breakfast or lunch or dinner. It'll mean you care. And what a delicious way to show your love. After all, your family deserves the best. They deserve Marita. Marita Brown and Serv Rolls. Listen to the lone ranger. On the following Saturday night, the lone ranger and Toto rode toward the Mandan Village to visit their old friend, Chief Corn Platter. As they approached the crest of a hill, they saw a red glow in her distant shouts and cries. Toto, something's going on in the village. It looks like fire. Come on! Urging their horses to greater speed, the masked man and his Indian companions soon reached the hilltop overlooking the village. They saw fire arrows flying through the air, and many of the Mandan houses were in flames. Come on, Toto! A moment later, as he rode downhill, the lone ranger shouted, Attackers are riding away! Open fire on them! The raiders made no attempt to return the gunfire. Bullets struck one man on the shoulder and another in the arm, as the terrorists, with backward glances, spread their horses and fled. Get right away, King of Savi! Let them go right in! As scout and silver came to a halt within 50 yards of the nearest burning cabin, the lone ranger said, Toto, with a bright moon, I'm sure you'll be able to see the trail of those men. Have right, King of Savi. I'd like to know where they go. Ride past the village and follow the trail, but stay far enough back so the men will not know they're being followed. Meanwhile, I'll find out what happened to the Mandans. You leave silver here? Yes, it's far enough back so you'll not be bothered by smoke and sparks if the wind changes. Listen to the lone ranger brought to you by special recording at this same time. The lone ranger, a copyrighted feature of the lone ranger incorporated, is produced by Tremble Campbell Muir Incorporated. The part of the lone ranger is played by Brace Beamer, your announcer, Fred Foy.