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Contact me! Send me a text message here!This week we talk about pride month, the Congresswoman who cried wolf, abortion mercy killing, and the murder of Henry Nowak.If you love the show, share it with friends and family!

Father Casey Jones is a priest of the Diocese of Venice, Florida. He currently serves as the pastor of St. Elizabeth Seton Parish and school in Naples, Florida. In Today's Show: Will those who are unable to use their talents for God be punished? Did Jesus purposefully blemish the animals at the temple with the whip? Do Catholics have a duty to serve the public by running for political positions? Is demonic imagery being normalized in pop culture? What is the best way to talk about Jesus with a non-Catholic stranger?  Has Satan been unbound? ​What is a good formula to develop a habit of repentance and reparation? Can a priest force a criminal to turn themselves in before absolving them? Why did Jesus only stay in Nazareth and Jerusalem and not go around the world? Visit the show page at thestationofthecross.com/askapriest to listen live, check out the weekly lineup, listen to podcasts of past episodes, watch live video, find show resources, sign up for our mailing list of upcoming shows, and submit your question for Father!

This show has been flagged as Clean by the host. 01 This is the third in a four part series on simple podcasting. 02 In this episode we will cover the following topics: Analysis of audio noise problems and filtering methods used to deal with specific problems that we may find. Command line recording. Command line playback. Getting information about an audio recording. 03 Introduction When I did my first couple of podcasts I didn't notice that there was a quiet high pitched whine or buzz in the background. Nobody complained about it, but I thought I could do better in subsequent episodes. 04 Creating an Audio Sample If you have a similar problem, the first step is to find out where it is coming from. If there is no audible noise where you are recording, there is a good chance the problem is in the microphone or another part of the audio system. Plug in your microphone and record 2 or 3 seconds of quiet audio where you do not speak into the microphone or make other noise. 05 You will need a minimum amount of data in order to analyze it. For a flac file sampled at 44.1 kHz, 2 to 3 seconds of data should be enough. To get a sample of just electronic noise you can put the microphone in a drawer or somewhere like that if you want to be sure of getting a quiet signal. Any sound recorded in this way should be mainly from the microphone or other electronic elements in the analogue pathway. To get a sample of possible ambient noise, such as fans, make sure the microphone is in the open air in an area which is representative of where it will be when you are recording. -------------------- 06 Analyzing using Fourier Transforms Next you need to look at the wave form. At this point I will describe this using Audacity. I will show other ways later, but Audacity is actually the easiest if you are starting from nothing. You don't need to become an expert in Audacity to use it, just follow the steps I will describe. I myself don't know how to use Audacity beyond using this one feature. 07 We are going to analyze the sound spectrum in our sample. The technique being used is a Fourier Transform. A Fourier transform, often called an "FFT" for fast fourier transform, is a mathematical method of showing a signal in terms of frequency along the x axis instead of time. This allows us to spot troublesome noise frequencies which appear when we don't want them to. The FFT is a very common mathematical technique which is widely used in signal processing, not just in audio. 08 There is software which will create pretty coloured animations of sound waves, but this is not what you want. These are simply decorative patterns and won't tell us what we want to know. -------------------- 09 Using Audacity Install Audacity if you haven't already. Start Audacity. Select file > import > audio, then navigate to your sample and select "open". The file should load. 10 In the wave form part of the window, click anywhere and then type Ctrl-S to select all data points. The chart should turn a slightly darker colour. From the menu, select Analyze > Plot Spectrum. A new window will open, showing magnitude in db on the Y axis, and frequency in hertz on the x axis. For "algorithm" be sure it is set to "spectrum" 11 There are now two settings that we need to play with while we look for problems. One is "size" The default for this is 1024. The other is "axis". The default for this is "log frequency". -------------------- 12 What to Look For What we are looking for are large obvious spikes that stand out in the data. Since our test signal has very little to no actual audio data, any spikes should represent electrical or other noise that doesn't belong there. 13 I have found two combinations of settings to be most helpful in finding problems. These are Size 2048, axis linear frequency. Size 32768, axis log frequency. 14 A small size value can help very narrow spikes stand out from the background more, while a large size value can help separate spikes from surrounding noise. A linear frequency axis can help with seeing all spikes across the full frequency range, while a log frequency axis can help to better see what is happening in the often very crowded lowest frequency range. -------------------- 15 A Real Example of an Audio Problem If you have good audio equipment you may find nothing obvious. If you cannot hear any noise in the signal, there may be none of any consequence and there is nothing for you to do. 16 However, in my case I found two main problems and one lesser one. One problem was a spike at 60 Hz, which is the AC line frequency. There is also a lesser problem of a collection of a broad frequency range of noise below 60Hz. Both of these however will be taken care of by the basic filtering that we looked at earlier so we do not need to worry about them here. 17 The other main problem is I had a large spike at every 1 kHz interval from 1 kHz to 19 KHz. This was noise generated within the head set electronics, or the result of noise on the USB power supply. This is the product of a cheap headset. 18 These spikes are not very large compared to the volume of my voice, but if I do the same sort of analysis of samples where I am speaking, they appear in the intervals between words. This results in a high pitched whine or buzz. This was the source of the background noise or buzz in my first two podcast episodes. I need to get rid of this. 19 One option would be to get a better microphone, but, well, that wouldn't be any fun would it. It would also cost money and I don't want to spend any of that if I don't have to. If you analyze your own signal, you may find a different pattern, or even no noise at all. If you did not find anything when shielding your microphone from ambient audio noise, repeat the same test but with the microphone exposed to acoustic noise in the room. -------------------- 20 Advanced Filtering The next step is to figure out how to get rid of this noise. I have called this section "advanced filtering", but we are actually just making use of a technique that was already covered in basic filtering. 21 To deal with the remaining spikes we can use additional "band reject" filters, each of which removes a specific frequency at 1 kHz intervals from 1 kHz to 12 kHz. We will use this in combination with the filtering that we have already done previously, so we don't need to worry about anything above 12 kHz as we already remove that with a low pass filter. After a small amount of experimenting I came up with the following. 22 Because I am applying a total of 16 filters, 4 for basic filtering and 12 to deal with the specific microphone problems that I have, I have broken up the filters into separate strings. I then generate the 12 new band reject filters from a template. Note that I don't show the "de-esser" filter here. I would recommend adding it as a separate step after doing the sort of filtering we are talking about here. 23 Rather than reading out multiple lines of bash script, I will post them in the show notes. I will give a brief description of them here which you can refer to when reading the show notes. The FFMPEG and Sox versions are very similar in concept so I don't need to go over the Sox version in detail. See the show notes for it. FFMPEG Version Here's the FFMPEG version. # The high and low pass filters. hlpfil="highpass=f=80, lowpass=f=12000" # Band reject filters filter for 60Hz and another for 50Hz. linefil="bandreject=f=60:width_type=h:w=20, bandreject=f=50:width_type=h:w=20" # Create a series of band reject filters, from 1 kHz to 12 kHz. # Change or remove this part if your recording hardware does not require it. ftemplate="bandreject=f=%s000:width_type=h:w=100" kilospikefil=$( seq 1 12 | xargs printf "$ftemplate," ) # Using ffmpeg ffmpeg -i input.flac -af "$hlpfil, $linefil, $kilospikefil" output.flac 24 There are a total of 5 lines of bash script. In the first line, we create a string called "hlpfil" which is just the high and low pass filters copied from our previous discussion on basic filtering. In the second line, we create a string called "linefil" which is just the simple bandreject filters to cover 50 and 60 hertz AC line noise filters also from basic filtering. 25 In the third and fourth lines, we create a string called "kilospikefil" containing the new filters. The "f" parameter represents the frequency we are targeting. The "w" parameter represents the "width" of the frequency range we are filtering in terms of hertz. The filter is applied gradually rather than with a sharp cut-off, so to get more filtering action we need to have larger width. In this case I decided to hammer the spike quite aggressively and so used a relatively wide width of 100 hertz. Testing with a voice file did not show any noticeable distortion, so it's an acceptable solution. 26 For this filter we need to create a dozen filter command so we use the shell "seq" command to generate a sequence of numbers from 1 to 12. We then pipe that into the xargs command which applies each number to the next command. The next command is "printf", which takes the number it gets from xargs and applies it to the "ftemplate" string template in a manner very similar to C programming printf string templates. 27 We also have a comma in there to separate each of the individual filters. We then surround this with a $ and () so we can run the command and capture the output into a variable. Then we call ffmpeg and pass it the filters we created by putting the variable names inside a double quoted string, separated by commas. All of this will be in the show notes, so don't worry about trying to get the exact details right now. Sox Version Here's the Sox version. # The high and low pass filters. sxhlpfil="highpass 80 lowpass 12000" # Band reject filters filter for 60Hz and another for 50Hz. sxfilter="$sxhlpfil $sxkilospikefil bandreject 60 20 bandreject 50 20" # Create a series of reject filters filters, from 1 kHz to 12 kHz. sxftemplate="bandreject %s000 100" sxkilospikefil=$( seq 1 12 | xargs printf "$sxftemplate " ) # Using SOX. sox input.flac output.flac $sxhlpfil $sxfilter $sxkilospikefil 28 The Sox version is very similar with the exception that the command arguments representing the filters must not be in quoted strings as Sox wants to see them as separate arguments instead of parsing a string. -------------------- 29 Confirming the Effect If we apply the above filters and look at this headset noise output file in the Audacity spectrum analyzer we will now see that these noise spikes are almost completely gone. We can now confirm how well this works by using a test audio file. Any normal short voice audio file will do for this. Just talk into the microphone normally and create a voice sample file that is 5 or 10 seconds long, or whatever you feel comfortable with. 30 With the original unfiltered voice audio I can hear a distinct high pitched whine overlaying the voice. With the filtered audio that whine or hum is not detectable. If we then look at the voice file in the Audacity spectrum analyzer, we can see distinct "notches" at the 50 Hz and 60 Hz frequencies, and at every 1 kHz from 1 kHz to 12 kHz. These notches are narrow enough that they won't cause a noticeable problem with voice signals. If we apply this filter to voice samples, the buzz or whine is gone and the voice signal sounds fine. Despite using a very cheap microphone, I now have acceptable quality audio for a podcast. 31 Again I want to emphasize that in this instance I am dealing with deficiencies with my hardware instead of buying a better microphone. These additional filters are intended to deal with the specific hardware problem I am facing. You don't need these additional filters if you cannot detect an audible problem. On the other hand, if you have a different problem you may wish to deal with a different set of frequencies. Finding these problems is the reason for using a spectrum analyzer. 32 FFMPEG has other filtering methods as well. However, as I didn't end up using them I can't really do an adequate job of describing them. If anyone has used them successfully, they are welcome to make a podcast on the subject. -------------------- 33 Completing the Process With these new filters added into the middle of the processing steps, you can now complete the processing by doing the de-essing, normalizing, and review steps as described in the previous episode. -------------------- 34 Command Line Recording I will now cover a separate topic, which is recording using command line programs. I am covering it in this episode as it is a short topic and it is convenient to talk about it here. 35 As well as using GUI based recording programs such as Gnome Sound Recorder, it is possible to record podcast episodes using command line tools such as FFMPEG. As for why you may wish to use command line tools to record audio, there are several reasons. One is that you may simply prefer to do it this way because it pleases you to do so. Another is that it allows the recording step to be included in a script that encompasses other parts of the process, automating what may have otherwise been separate manual steps. 36 However, if you don't find these arguments particularly compelling, then I'm not going to attempt to persuade you to use the command line to record audio. I am doing this part of this episode out of a desire to have a bit of fun and I probably won't be using it much myself. I will however use one of these methods to record this part of this episode. 37 Recording with FFMPEG - The Basics One of the common command line tools you can use is FFMPEG, a package which I have previously mentioned with respect to filtering audio files. Here is an example of how to record using FFMPEG. We call FFMPEG specifying the audio input system as the FFMPEG input, and then specify a file to output to. 38 # Record audio. ffmpeg -f pulse -i default ff.flac 39 Press 'q' to stop. This uses pulse audio on Linux for input "-f pulse", and the default input "-i default". However, this does not specify the the sample rate or mono recording. To do that we need to add a few more parameters as in the following 40 ffmpeg -f pulse -i default -ac 1 -ar 44100 ff.flac 41 "-ac 1" specifies mono output "-ar 44100" specifies 44.1 khz bit rate. 42 Playback with FFMPEG - The Basics FFMPEG can also play back music. In this case however we need to call the "ffplay" program rather than FFMPEG itself. To play an audio file, simply call ffplay and give it the name of the audio file as an argument to the command. For example: 43 # Play an audio file. ffplay podcast.flac 44 We can also call it with the "autoexit" option, which tells ffplay to automatically exit when the audio file has finished playing. ffplay -autoexit ff.flac 45 -autoexit means Exit when the audio file is done playing. 46 To exit in the middle of the recording, press "q' or ESC. To pause the playback, press "p" or space bar. To decrease the volume press "9" or "/". To increase the volume press "0" or "*". 47 To seek forward 10 seconds, press the right cursor button. To seek backward 10 seconds, press the left cursor button. To seek forward 1 minute, press the up cursor button. To seek backward 1 minute, press the down cursor button. 48 The "0" and "9" keys mentioned above are those on the top row of the keyboard, not the ones on the separate numeric pad. 49 While the recording is playing, a graphical window will open which shows a cascading waveform based on the current content. This is purely decorative and does not serve any particularly useful purpose. -------------------- #!/bin/bash # Record a podcast episode segment. # Get the next file name. # First we check if any matching file patterns exist. If they don't, # then we create the first one starting counting at 1. fcount=$( ls [0-9][0-9].flac 2>/dev/null | wc -l ) if (( $fcount < 1 )); then fname="01.flac" else # If there are any matching file patterns, we find the highest number # and increment it by 1. filenum=$( ls [0-9][0-9].flac 2>&1 | cut -d. -f1 | sort | tail -1 ) newfilecount=$(( 10#$filenum + 1 )) fname=$( printf "%02d.flac" $newfilecount ) fi echo "Recording to: $fname" # Record using ffmpeg. # This makes use of pulse audio and the input is the default audio input. # The sample rate is set to 44.1 kHz, and it is recorded as mono (1 channel). ffmpeg -f pulse -i default -ar 44100 -ac 1 $fname echo "Recorded audio to: $fname" # Report on basic information about the audio file that was just recorded. ffprobe -hide_banner $fname -------------------- 50 Sox - Not so Good I did not find the recording or playback features of Sox to be as useful as those of FFMPEG, so I won't bother to cover them here. -------------------- 51 Getting Information About an Audio Recording There are also command line tools which can be used to retrieve information about audio recordings. 52 FFMPEG Version With FFMPEG this is called "ffprobe". For example: 53 ffprobe hpr4566.mp3 54 This will print out a lot of information about FFMPEG itself. To skip that use the hide_banner option. 55 ffprobe -hide_banner hpr4566.mp3 56 This will print out information about the audio recording. This will include things like the duration, bit rate, sample rate, stereo or mono, etc. If the author added metadata tags to the file, it will also show those. HPR add things like the title, author, copyright license, comment, etc. You can extract the ones you want using something like grep and cut. 57 Sox Version Sox has a similar feature, called "soxi". 58 soxi ff.flac 59 However, it may not work on mp3 files if you do not have an mp3 handler for it installed. -------------------- 60 Conclusion In this episode we took a brief look at an example of how to solve an audio problem through filtering. We looked at how to use Audacity to find where the problems were. We then looked at how to apply filters to remove these sources of noise. We also looked at how to record podcasts and get information about audio files using command line tools. 61 In the next episode we will look at alternatives to Audacity for analyzing audio. While Audacity works just fine, this is an opportunity to have a bit fun with some gratuitous hackery. 62 This has been the third episode in a four part series on simple podcasting. -------------------- -------------------- Full Audio Processing Pipeline This version includes the special filters used to fix my headset problems. Use the version from the previous episode if you do not have the same audio hardware problems. #!/bin/bash # Full processing pipeline for making simple podcasts. # ====================================================================== # Concatenate multiple flac files into a single flac file. # This is used to combine podcast recorded segments into a single # flac file for uploading to HPR. concataudio () { outputname="$1" # First create the list file. printf "file '%s'n" [0-9][0-9].flac > podseglist.txt # Now concatenate them ffmpeg -f concat -safe 0 -i podseglist.txt "$outputname" rm podseglist.txt } # ====================================================================== # Basic and advanced filters. filter () { inputfile=$1 outputname=$2 # Using ffmpeg. # The high and low pass filters. hlpfil="highpass=f=80, lowpass=f=12000" # Band reject filters filter for 60Hz and another for 50Hz. linefil="bandreject=f=60:width_type=h:w=20, bandreject=f=50:width_type=h:w=20" # Create a series of band reject filters, from 1 kHz to 11 kHz. ftemplate="bandreject=f=%s000:width_type=h:w=100" kilospikefil=$( seq 1 11 | xargs printf "$ftemplate," ) # Using ffmpeg ffmpeg -i $inputfile -af "$hlpfil, $linefil, $kilospikefil" $outputname } # ====================================================================== # De-Essing. deessing () { inputfile=$1 outputname=$2 option=$3 # De-essing filter. ffmpeg -i $inputfile -filter_complex "deesser=i=0.5:m=0.5:f=0.5:s=$option" -b:a 336k -sample_fmt s16 $outputname } # ====================================================================== # Normalizing the audio to EBU R128 standard for review using ffmpeg. normffmpeg () { inputfile=$1 outputname=$2 # Normalize to EBU R128 standard. ffmpeg -i $inputfile -af loudnorm=I=-17:TP=-2.0:LRA=4.0 -ar 44.1k $outputname } # ====================================================================== # Output an MP3 version to help with reviewing. mp3convert () { inputfile=$1 # Get the name of the file and then create the output file name. j=$( basename $inputfile ".flac" ) outputname="$j"".mp3" # Convert to MP3. ffmpeg -i $inputfile $outputname } # ====================================================================== # Concatenate the separate audio files. concataudio fullpod-unfiltered.flac # Basic filtering. filter fullpod-unfiltered.flac filtered.flac # De-essing. This is the version to send for publishing. # The third argument should be "o" for de-essing, or "i" for pass through without de-essing. deessing filtered.flac fullpod.flac o # Normalized for review. normffmpeg fullpod.flac fullpod-norm.flac # Output an MP3 copy for review. mp3convert fullpod-norm.flac -------------------- -------------------- Provide feedback on this episode.

Air Date: 5–9-2026 Today we examine how political violence has always been woven into the fabric of American life and who gets to decide what counts as violence in the first place. We'll hear about presidential assassinations, the assassination of Fred Hampton, the MOVE bombing in Philadelphia, and the long history of state-sanctioned violence. And I'll discuss the only real way to bend the curve back away from endemic violence in the US.  Full show notes Be part of the show! Leave a voice message, message us on Signal at the handle bestoftheleft.01, or email Jay@BestOfTheLeft.com BestOfTheLeft.com/Support (Members Get Bonus Shows + No Ads!) Use our links to shop Bookshop.org and Libro.fm for a non-evil book and audiobook purchasing experience! Join our Discord community! TOP TAKES KP 1: The Real 'Political Violence' in America - Taylor Lorenz - Air Date 9-12-25 KP 2: The Largely Forgotten History of Philadelphias Police Bombing of Black Organization MOVE - PBS NewsHour - Air Date 5-17-25 KP 3: America's History of Assassinations and Political Violence - Front Burner - Air Date 7-16-24 KP 4: America's Addiction to Gun Violence, Racism, and White Rage Will Be Its Downfall Part 1 - The Chauncey DeVega Show -Air Date 9-19-25 KP 5: "Slow Civil War" Author Jeff Sharlet on the Growing NormalAation of Violence at Home & Abroad - Democracy Now! - Air Date 4-27-26 KP 6: The World Is Broken and on Fire. Use Your Anger to Remake It for the Better - The Chauncey DeVega Show - Air Date 3-25-26 (00:50:50) NOTE FROM THE EDITOR Why Billionaires Now Fear Civil War DEEPER DIVES (01:04:57) SECTION A: THE FRAMING WARS A1: The White House Correspondents Dinner Shooting: What the "Political Violence" Framing Is Hiding - Resistance History with Tad Stoermer - Air Date 4-26-26 A2: Who's to Blame for Political Violence? - WSJ Opinion: Free Expression - Air Date 9-17-25- Air Date 9-17-25 A3: We're MASSIVELY Overstating Our Political Violence Problem — and That's Dangerous! | Sean Westwood - People Who Read People: A Behavior and Psychology Podcast - Air Date 9-16-24 A4: Assassination Nation – Start Your Week with Ros Taylor - The Bunker – News Without the Nonsense - Air Date 4-27-26 (01:32:09) SECTION B: THE LONG AMERICAN TRADITION B1: The Pen or the Sword? How Lincoln and John Brown Disagreed on Achieving Emancipation Part 1 - History Unplugged Podcast - Air Date 2-23-21 B2: A History of US Political Violence - Americast - Air Date 11-2-22 B3: The Pen or the Sword? How Lincoln and John Brown Disagreed on Achieving Emancipation Part 2 - History Unplugged Podcast - Air Date 2-23-21 (01:52:52) SECTION C: STATE VIOLENCE AND ANTI-BLACKNESS C1: WATCH: "The Assassination of Fred Hampton: How the FBI and Chicago Police Murdered a Black Panther" - Democracy Now! - Air Date 12-4-14 C2: America's Addiction to Gun Violence, Racism, and White Rage Will Be Its Downfall Part 2 - The Chauncey DeVega Show -Air Date 9-19-25 (02:12:44) SECTION D: THE RIGHT-WING ENGINE D1: Political Violence In The U.S. Part 1 - The NPR Politics Podcast - Air Date 6-16-25 D2: Timothy McVeigh and the Rise of Right-Wing Extremism - The Lawfare Podcast - Air Date 5-25-23 D3: Political Violence In The U.S. Part 2 - The NPR Politics Podcast - Air Date 6-16-25Political Violence In The U.S. The NPR Politics Podcast Jun 16, 2025 (02:36:23) SECTION E: THE SYSTEM AND WHAT COMES NEXT E1: Assassin Nation with Patrick Blanchfield - The Dig - Air Date 12-18-24 E2: Holding Out for a Hero Feat. Hasan Piker - Chapo Trap House - Air Date 4-27-26 E3: The Cole Hard Truth - The Muckrake Political Podcast - Air Date 4-28-26 Produced by Jay! Tomlinson Visit us at BestOfTheLeft.com Listen Anywhere! BestOfTheLeft.com/Listen Listen Anywhere! Follow BotL: Bluesky | Mastodon | Threads | X Like at Facebook.com/BestOfTheLeft Contact me directly at Jay@BestOfTheLeft.com

Hugh discusses the WHCA Dinner shooting, the embrace of radical and conspiratorial rhetoric on the left, and talks with Matthew Continetti, Eli Lake, Aaron MacLean, Michael Duncan, David Drucker, James Lileks, Byron York, Bethan Mandel, and Mike Rogers.See omnystudio.com/listener for privacy information.

SEND ME A TEXT MESSAGE NOWWe've normalized the insane. Not slowly, not by accident… we just slid right into it. Standoffs on funding bills like it's some kind of seasonal sport, redistricting maps getting redrawn to lock in power BEFORE a single vote is cast. It's not even subtle anymore, and somehow that makes it worse.This episode isn't about one headline. It's about what happens when you stack all of this together and realize it's the same script playing on repeat. Different week, different players, same outcome. And everyone in charge acts like this is just how the system works now.Then you get the cultural insanity layered on top of it. A late-night host tells a joke… and the response isn't “that went too far” or “ignore it.” No. It's fire him. Shut it down. End it. Because apparently we've decided that jokes now require consequences like they're federal offenses.And just when you think the bar can't drop any lower, here comes the conversation about bringing back firing squads. Not as history. Not as some dark footnote. As an actual option. In 2026. Like we're flipping through a menu of execution methods and saying, yeah, let's go retro.None of this stands alone. That's the problem. It stacks. And when it stacks, it stops looking like random chaos and starts looking like something way more serious… like a system that's either completely broken or way too comfortable with how far it's willing to go.Because here's the part that should bother you the most. Not just that it's happening… but how fast we adjust to it. How quickly something that should stop everything just becomes background noise. That's the shift. That's where this goes from insane to dangerous.AWorldGoneMadPodcast@gmail.com

Have you ever wondered - why are women feeling constantly overwhelmed, burned out and stuck in survival mode? I hear it daily - "I'm running on fumes, with no "time" for anything and I don't know what to do?"In this powerful episode, I break down the real reasons women are stressed to the max, especially in midlife and why the old strategies that used to work (working harder, doing more, pushing through!) start to backfire.This isn't about discipline.This isn't about trying harder.It's about understanding what's actually happening in your body, your mind and your life so you can finally work on recalibrating.Inside this episode, you'll discover:- Why survival mode has become the norm (and why it's destroying your energy)- The invisible mental and emotional load women carry daily- How hormonal changes after 30 impact stress, fatigue and weight - The truth about under-fueling, overworking and burnout cycles- Why your current routine may be working against your body- A simple but powerful exercise to take back control of your time and energyIf you've ever thought:“Why am I so tired all the time?”“Why does my body feel different?”“Why can't I keep up anymore?”This episode is for you. Watch the full video on YOUTUBE here:https://youtu.be/yQCqmVAyWVUIf this episode resonated with you, please subscribe and leave a review on your favorite podcast platform. Sharing this episode with a friend can also help us reach more incredible women on their journey to better health.Thank you for being a part of our community and investing in your wellness journey!To stay connected, here's where you can find me online:Podcast IG: https://www.instagram.com/empoweredinhealth Coaching Business IG: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/erinktrier Book Free Coaching Call Here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.erintrier.com/coachingWebsite: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.erintrier.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠...

This show has been flagged as Clean by the host. Basic-Filtering 01 Introduction This is the second episode in a four part series on a simple way to create your own HPR podcast episode. 02 This episode will cover the following topics: Basic filtering.. De-essing to improve voice quality. And normalizing to adjust audio levels for easier reviewing. 03 Filtering is removing unwanted noise from an audio signal. There are several ways of doing this. It is possible to do this with Audacity, but I don't know how so I won't try to describe that method. It is possible however to filter using command line tools such as FFMPEG and Sox. When assembled into shell scripts, these tools can become part of an automated process that you can use over and over again for each HPR episode that you record. 04 In a later episode I will discuss how to analyze audio signals to find the sources of noise that can be reduced or eliminated with filters. In this episode however I will discuss basic filtering that you can apply routinely without doing any analysis beforehand. 05 Sources of Noise A question that you may have is "why is there noise in the recording?" There are many sources of undesirable noise. 06 A very common one that you may not be aware of is electrical noise that works its way into the electronic recording circuits and is imperceptible to you until you play back the recorded audio. The most common noise signal is what is commonly called "line noise" and is a low frequency hum at 50 or 60 Hz from the electric power lines and reflects the 50 or 60 Hz frequency of the AC power lines feeding your recording hardware. 07 You may be familiar with this low frequency hum from when it emanates from large electrical hardware such as transformers as it makes the laminations vibrate. However, it can also work its way indirectly into electronic equipment as well. Good quality audio hardware may filter all or most of this out, but it is present in a lot of consumer grade hardware. 08 Other sources of electrical noise may reflect specific problems in your recording hardware. I will discuss one such problem with my microphone that I had to address. Still other sources of noise may reflect actual physical audio noise around you, such as fans. Placing the microphone close to your face will help in dealing with a lot of these problems, but you may find filtering to be of some help here as well. 09 Audio Frequency Range Let's start with some basics. A good quality stereo of the type you may have at home is typically rated to perform between 20 Hz and 20 kHz. This is the widest possible range that we need to consider. In reality, this is a far wider range than is needed for a voice oriented podcast. It is also well beyond the range of the hardware that many of your listeners will be using to listen to the podcast. 10 For example, the speakers that I have connected to my PC and a number of headphones and earphones that I have tested drop off drastically below 80 Hz or above 8 kHz, or even above 6 kHz in many cases. This is not audiophile quality hardware, but it is representative of the sort of hardware that a lot of your listeners will be using when listening to podcasts. And to be honest here, a lot of people will have difficulty hearing anything above 8 kHz even with the best quality audio hardware due to hearing loss from environmental noise exposure or age. 11 You can get a good idea of what different frequencies sound like by generating sine waves using either FFMPEG or Sox. Here's an example of generating a 1 kHz sine wave using FFMPEG. A copy of this will be in the show notes. ffmpeg -f lavfi -i "sine=frequency=1000:sample_rate=44100:duration=3" 01000hz.flac This creates a sine wave at 1 kHz and at a sample rate of 44.1 kHz for a duration of 3 seconds and saves it to a flac file named 01000hz.flac 12 Here's the same using Sox. sox -n -r 44100 -b 16 01000hz.flac synth 3 sine 1000 The -b 16 specifies using 16 bit audio to encode it, and the "sine 1000" element specifies the frequency in hertz. 13 You can test this out at different frequencies to get a feel for how your hardware responds. What the effective limits on typical hardware audio range means is that we can quite safely filter out a large part of what is considered to be the "audio range" without any noticeable loss of quality. For the purposes of our discussion here then I will limit the frequency range to between 80 Hz and 12 kHz, and that is being generous. You can probably narrow that, particularly at the top end, without any problems. 14 At the low end, the typical rule of thumb recommended by most people seems to be that for the average male voice you can set the lower threshold at 80 Hz, and for the average female you can set it at 160 Hz. Note that you don't *have* to set the threshold higher for a female. Rather, it is just that you typically *can* set it higher if you wish. Note also that these are averages, and may not reflect an actual individual. 15 Simple Filters We will now create some simple filters using the same command line software mentioned in a previous episode in this series. These are FFMPEG and Sox. 16 First let's define some terminology. A high pass filter passes through frequencies which fall above a certain threshold and blocks frequencies which are below that frequency. A low pass filter passes through frequencies which fall below a certain threshold and blocks frequencies which are above that frequency. 17 In reality there isn't an abrupt cut-off in the filters. Instead there is a gradual roll off or sloping off of amplitude below or above the specified filter frequency. This is for two reasons. One is that if there was an abrupt cut off then it would risk introducing audible distortion in the signal for frequencies on the margin. 18 The other reason is that this is how hardware filters traditionally inherently worked when they were made out of electronic components such as resistors, capacitors, and inductors. The sharpness of this cut off can be adjusted, but we won't be fiddling with it in that sort of detail. You will sometimes see filters specified in terms of "poles". This has to do with describing how filters were constructed using electronic components. Don't worry about it, it doesn't really matter. 19 Here is a typical high pass filter using ffmpeg which filters out frequencies below 80 hertz. # High pass filter. ffmpeg -i inputfile.flac -af "highpass=f=80" outputfile.flac Here is a typical low pass filter using ffmpeg which filters out frequencies above 12 kHz. # Low pass filter. ffmpeg -i inputfile.flac -af "lowpass=f=12000" outputfile.flac 20 Here is a filter which combines the two. # Combined filters. ffmpeg -i inputfile.flac -af "highpass=f=80, lowpass=f=12000" outputfile.flac And here is the same thing using Sox. sox inputfile.flac outputfile.flac highpass 80 lowpass 12000 21 Filtering Out Specific Frequencies Recall that I mentioned that a common source of noise is the 50 or 60 Hz AC power line frequency working its way through the electronics of your recording device. Because filters operate gradually and the 80 Hz lower filter threshold is close to 60 Hz, the high pass filter may not deal with this adequately. 22 Now it happens that your listeners may not be able to hear this 50 or 60 Hz noise anyway because their audio hardware won't reproduce it. That by the way includes you not being able to hear it either when you review your recording before uploading it. However, there may be some HPR listeners who are sitting back sipping a glass of wine and listening to your episode on their stereo and who can hear it. That suggests that we ought to do something about it just in case. 23 I will get into how to analyze audio signals in a later episode, but for now just accept that I looked at the frequency spectrum of a sample recording using my hardware and found a large 60 Hz noise spike which I wanted to address. 24 Experimenting with additional high pass frequencies up to 120 Hz did not improve things much with respect to the 60 Hz problem. There are other parameters which could be tweaked, but at this point it would seem most promising to attack the 60 Hz spike problem directly using a different filter method. To deal with the this 60 Hz spike we can use a "band reject" filter, which removes a specific band of frequencies. We will use this in combination with the filtering that we have already done above. 25 After a small amount of experimenting I came up with the following. I also added in a 50 Hz filter while I was at it, for the benefit of those living in areas with 50 Hz electrical supply. These filters will be included in the show notes, so don't worry if you can't quite understand all the details from a verbal description. 26 Here's the FFMPEG version. # Using ffmpeg ffmpeg -i input.flac -af "highpass=f=80, lowpass=f=12000, bandreject=f=60:width_type=h:w=20, bandreject=f=50:width_type=h:w=20" output.flac 27 This as the following elements A high pass filter at 80 Hz, A low pass filter at 12 kHz, A band reject filter centred at 60 Hz and with a width of 20 hertz. A similar band reject filter centred at 50 Hz. 28 Here's the Sox version. # Sox version. sox input.flac output.flac highpass 80 lowpass 12000 bandreject 60 20 bandreject 50 20 Note that with sox, don't quote the filter definition strings or else it will result in an error as sox doesn't see enough parameters. This is not a problem with ffmpeg. 29 The band reject filter knocks the stuffing out of the 60 Hz line noise, and the 50 Hz parameter should do the same for that frequency as well. This basic filter should be able to be applied to any podcast audio recording without causing any problems. You can probably reduce the low pass frequency from 12 kHz down to 8 kHz without any problems, but I would suggest that you test it with your voice before making that decision. 30 I will come back to filtering out specific frequencies again later when I discuss how I solved a specific problem with the hardware that I am using. However, we have to discuss how to analyze audio signals before we can do that sort of technical troubleshooting, and I will cover that in a later episode. -------------------- 31 De-Essing An additional type of filtering is "de-essing". When recording audio, the microphone or environment may result in "s", "sh", "ch" and possibly other sounds to be exaggerated. These are all higher frequency elements of voice recordings. "De-essing" attempts to soften these sounds by selectively reducing the volume on the frequency band which contains these sounds. 32 Software Filters De-essing is accomplished via software filters. FFMPEG and Sox both have de-essing filters. For FFMPEG, the de-essing filter is built in. For Sox however, we must install an optional plug-in. I will cover this is more detail when I discuss using Sox for de-essing. 33 Do You Need De-Essing? The first thing to make clear however, is that you may not need to worry about this. If you think the audio sounds just fine the way it is, you don't need to do any de-essing to it. De-essing is a very subtle change, and you would probably need to do some careful before and after comparisons of audio samples to tell the difference. I didn't know that a thing called de-essing even existed before I started doing the research to make this podcast episode. However, at this point we are doing things more for fun than out of necessity, so I'll describe it anyway. 34 De-Essing with FFMPEG De-essing with FFMPEG is relatively simple. The filter is built in, and there are just three values to adjust. On the other hand, it is not really obvious what these values mean in practical terms. 35 I will however warn you to not rely on the AI search results from Google to understand this feature. The AI, in my experience, just makes stuff up about it and tells you to use options that don't exist and values that are not valid. I found that the only useful information came from FFMPEG's own web site, and from examples written by actual humans. 36 I then experimented with different values to see what effects they had. Since the results are rather subtle, fine tuning isn't really that necessary and I found that I could arrive at some reasonable values fairly quickly. I will provide the parameters that I found useful for me, and I suspect they would probably work for you as well. 37 Here is a typical de-essing command. ffmpeg -i inputfile.flac -filter_complex "deesser=i=0.5:m=0.5:f=0.5:s=o" -b:a 336k -sample_fmt s16 outputfile.flac 38 The important arguments are i, m, and f. i is intensity for triggering de-essing. The allowed range is 0 to 1. The default is 0. By experimentation I found that "0" means no de-essing, and "1" is maximum de-essing. I found that setting it to "0.5" gave satisfactory results. 39 m is the amount of "ducking on the treble part of sound". The allowed range is 0 to 1. The default is 0.5. By experimentation I found that "1" means no de-essing, and "0" is maximum de-essing. I found that setting it to "0.5" gave satisfactory results. 40 f is how much of the original frequency content to keep when de-essing. The allowed range is 0 to 1. The default is 0.5. By experimentation I found that "1" means no de-essing, and "0" is maximum de-essing. I found that setting it to "0.5" gave satisfactory results. 41 Setting "m" or "f" too high can result in a distorted output as too much of the original sound is cut out. The defaults of 0.5 in both cases gave audible improvements without noticeable distortion. 42 There is an additional parameter called "s". This controls whether the de-essing filter does anything. Setting it to "o" is the normal and default mode. Setting it to "e" causes it to output just the components that it would normally have filtered out. This is useful for testing purposes so you can see what and how much is being filtered. You only use this when experimenting with different values. Setting it to "i" causes the input to be passed through without de-essing. This would be useful in scripts where you want to use a variable to control whether or not to use the de-esser while still creating the expected output file. 43 There are two other elements of the command which were included but are not strictly speaking part of the de-essing filter itself . These are " -b:a 336k" and "-sample_fmt s16". " -b:a 336k" sets the audio bit rate to 336k. "-sample_fmt s16" sets the audio sample format to 16 bit. I found it necessary to specify these in order to prevent the de-essing filter from changing formats. They are not part of de-essing however. 44 De-Essing with Sox You can also de-ess with Sox. However, this is more complex for several reasons. One reason is that Sox does not have its own de-essing filters. Instead it uses optional plug-ins, and you must find and install these. The actual plug in may vary depending on what operating system you are using. The other reason is that it deals with the issue in fairly low level parameters, and so is a bit more complex to describe. Because of this I will skip over describing this in detail and just give a very brief overview. If anyone would like me to describe in more detail how to de-ess with Sox, then send in a comment and I will do a short episode on it later. 45 Sox De-Essing Overview To de-ess with Sox, you first need to install the plug-ins. On Linux, these will be the TAP ladspa plug-ins. TAP stands for "Tom's Audio Processing" plugins. ladspa stands for "Linux Audio Developer's Simple Plugin API" To install the TAP plugins on Ubuntu, using the following command. sudo apt install tap-plugins The plug-in we need is called "tap_deesser.so". 46 In order to use the plug-ins, you need to set the path as a variable. On Ubuntu this is. export LADSPA_PATH="/usr/lib/ladspa:" I put the above in the shell script which calls the Sox de-esser. 47 To use the Sox de-esser, you do the following: sox inputfile.flac outputfile.flac ladspa tap_deesser tap_deesser -30 4500 48 tap_deesser tap_deesser tells it which plugin to use. We need to state tap_deesser twice because the first is the name of the ".so" file and the second is the name of the plugin. A single "so" file can contain multiple filters, although in this case there is only one. -30 is the threshold in dB at which to start to apply the filter. 4500 is the frequency in Hz that the filter centres around. 49 The TAP web page has a table of recommended frequencies. These are: Male 'ess' 4500 Hz Male 'ssh' 3400 Hz Female 'ess' 6800 Hz Female 'ssh' 5100 Hz You will need to do some trial and error to find what works best for you. 50 De-Essing Summary De-essing can be used to make minor improvements to voice quality by reducing certain harsh sounds which may be exaggerated by a microphone. If it sounds like a lot of work you can probably simply not bother with it and not really miss it. -------------------- 51 Normalizing Normalizing a signal means adjusting it to meet a specified level. For audio it means adjusting the volume or sound level. You may wish to normalize the audio of your recording to make it easier to listen to when reviewing it. The copy that you send to HPR however should be the original un-normalized version. 52 Sound level is measured in two ways, dB and LUFS. The latter is a more sophisticated way of measuring things which takes into account how the human ear perceives loudness. I won't go into a lot of detail in that regards, other than to say that just accept LUFS as a unit of perceived loudness that is the international standard. LUFS stands for "Loudness Units referenced to Full Scale", and is part of the EBU R128 standard, where EBU stands for European Broadcast Union. In both cases the measured value is a negative number, with numbers smaller in magnitude being louder. Smaller in magnitude means closer to zero. 53 HPR will adjust the sound level for publication, but if you wish to check the audio before uploading it can help to adjust it to something close to what HPR will do so that you can listen to it at a volume which most listeners will hear. In my case full volume on the audio system input produced a sound level which was much lower than a typical HPR episode. However, the volume level in the flac file itself can be adjusted using ffmpeg. 54 Measuring Volume Level First we need to see what the volume level is for a typical HPR podcast. To do this we use ffmpeg. In this example we are using an episode named "hprpodcast.mp3". Pick an episode which you think is suitable and copy the file to the working directory. 55 In the following script we use a volumedetect filter. The text we want normally outputs to standard error, so we have to do a bit of bashery to redirect this to standard output so it will go through a pipe. We then grep for the string "I:". This will have the average volume level in "loudness units" (LUFS). Then we extract the number, giving us a target LUFS level. 56 ffmpeg -i hprpodcast.mp3 -filter:a ebur128=framelog=quiet -f null /dev/null 2>&1 | grep "I:" | cut -d: -f2 57 Unfortunately I can't find a Sox feature which handles EBU loudness, so we need to work in dB instead. Here is the sox version. However, note that this may not work on mp3s if sox mp3 handing is not installed. 58 sox hprpodcast.mp3 -n stats 2>&1 | grep "RMS lev dB" | rev | cut -d" " -f1 | rev 59 You can use either of these for measuring the volume or sound level of an audio file. However, note that individual episodes from HPR may vary a bit in terms of loudness. In the samples that I looked at, this however was less than 1 LUFS or dB while my own recording was roughly 5 LUFS lower in volume than a typical HPR episode. -------------------- 60 If you Google for the EBU R128 standard the AI result will confidently tell you to use a target of -23 LUFS. However, this is wrong, which shouldn't be of any surprise if you are familiar with using AI. 61 The -23 LUFS figure is for broadcast television. There is in fact no standard level for podcasts. However, there is apparently a general industry convention of using somewhere around -17 LUFS. If I look at the first two HPR episodes that I did, HPR normalized them to -16.8 LUFS and -17.8 LUFS, while the original FLAC files that I submitted were -21.6 LUFS and -22.3 LUFS respectively. 62 So HRP appear to be targeting somewhere around -17 LUFS as well. We will therefore use -17 LUFS as our target for our own copy for review. -------------------- 63 The nice thing about using the EBU filter in FFMPEG is that this is very simple. Here is the FFMPEG version. 64 ffmpeg -i inputfile.flac -af loudnorm=I=-17:TP=-2.0:LRA=7.0 -ar 44.1k outputfile.flac 65 "I" is the LUFS target. LRA is the loudness range target. The default value is 7.0 so I used that. TP sets the maximum true peak. The default value is -2.0. so I used that. -------------------- 66 With Sox things are a bit more difficult. There is no direct method of setting the loudness that I am aware of, so we need to measure the current sound level in dB, do some calculations, and then apply that as a gain factor to the output. 67 First we need to subtract the measured db level from our flac file from the target db level from the HPR episode we decided to use as a sample. Bash by itself normally just does integer math. However, we would like to have at least one decimal point of resolution to work with. The simple solution is to do this calculation using bc, the shell arbitrary precision calculator. 68 Then take this new value and use it in a "volume" filter. The number which we give sox is the amount to increase or decrease the volume by. Sox will then output a new file with the new volume level. You can now listen to this file under conditions more closely approximating what it will be like after HPR have done their own audio adjustments and normalizaton on it This helps when listening to the file for any problems before you upload it. 69 Rather than reading 5 lines of complex shell script to you, I will put a copy of it in the show notes. level=$( sox $inputfile -n stats 2>&1 | grep "RMS lev dB" ) leveldb=$( echo "$level" | rev | cut -d" " -f1 | rev ) targetdb="-18.9" volumechange=$(echo "scale=2 ; $targetdb - $leveldb" | bc ) sox $inputfile $outputname gain "$volumechange" -------------------- 70 Normalization should be the last thing you do to the file. It should be done after any noise filtering, such as low pass, high pass, bandreject, etc. If you normalize first, you will be amplifying the noise as well as the desired signal. 71 The exact normalization level used for review purposes doesn't matter, as HPR will apply their own later. All we are doing at this point is adjusting the volume to something which approximates a normal episode so you can listen to it for final review. 72 When you send your file to HPR, send the original *unnormalized* version, not the normalized version. When you normalize an audio signal, if you are not careful you may introduce things which cause problems with later additional processing. HPR probably do more things to the audio than just normalizing and so they need the unnormalized file so that they can do their own normalizing last. -------------------- 73 If at this point you are happy with the recording as is, you are ready to send the *unnormalized* version to HPR. The scripts to implement the features discussed in this episode will be in the show notes. 74 Conclusion In this episode we covered basic filtering using ffmpeg and sox. We discussed what noise was and some of the origins of noise. We talked about the audio frequency range and the limitations of common hardware used to record and listen to podcasts. We covered basic high and low pass filters used to limit the audio frequency range in order to remove possible low and high frequency noise. 75 We discussed specific filters to eliminate 50 and 60 Hz electrical power noise. We talked about de-essing, what it was, why you may wish to use it, and some basic de-essing filter implementation details. We discussed normalizing, what it is, why you may wish to use it, and how it relates to podcasting conventions. 76 In the next episode we will discuss analyzing audio signals to help find the sources of noise problems. We will also discuss creating filters to eliminate any problems that we found. In my case I had a problem with the microphone that I use, and I describe how I used filters to deal with that problem. 77 This has been the second episode in a four part series on simple podcasting. -------------------- EBU R128 Loudness Measurement using FFMPEG #!/bin/bash echo "EBU r128 loudness measurement using FFMPEG" for inputfile in *.flac *.mp3 ; do level=$( ffmpeg -i $inputfile -filter:a ebur128=framelog=quiet -f null /dev/null 2>&1 | grep "I:" | cut -d: -f2 ) echo $inputfile $level done -------------------- DB Sound Level Measurement using Sox #!/bin/bash # Sox version. May not work for mp3 if an mp3 format handling is not installed. echo "dB sound level measurement using Sox." for inputfile in *.flac *.mp3 ; do level=$( sox $inputfile -n stats 2>&1 | grep "RMS lev dB" ) leveldb=$( echo "$level" | rev | cut -d" " -f1 | rev ) echo $inputfile $leveldb done -------------------- EBU R128 Loudness Normalization using FFMPEG #!/bin/bash # Adjust the volume to a desired level. for inputfile in *.flac ; do j=$( basename $inputfile ".flac" ) outputname="$j""-normff.flac" ffmpeg -i $inputfile -af loudnorm=I=-17:TP=-2.0:LRA=4.0 -ar 44.1k $outputname echo $outputname done -------------------- DB Sound Level Normalization using Sox #!/bin/bash # Adjust the volume to a desired level. for inputfile in *.flac ; do j=$( basename $inputfile ".flac" ) outputname="$j""-normff.flac" # Measure the volume level and extract the mean volume. level=$( sox $inputfile -n stats 2>&1 | grep "RMS lev dB" ) leveldb=$( echo "$level" | rev | cut -d" " -f1 | rev ) # Calculate the difference in dB desired. Scale specifies the number of decimal places. # Target db is the volume measured on hpr4506 (UCSD-P-System). targetdb="-18.9" volumechange=$(echo "scale=2 ; $targetdb - $leveldb" | bc ) echo "Using sox: File: $inputfile Original level: $leveldb Change by: $volumechange" # Adjust the volume. sox $inputfile $outputname gain "$volumechange" done -------------------- Full processing pipeline for making simple podcasts using FFMPEG #!/bin/bash #!/bin/bash # Full processing pipeline for making simple podcasts. # ====================================================================== # Concatenate multiple flac files into a single flac file. # This is used to combine podcast recorded segments into a single # flac file for uploading to HPR. concataudio () { outputname="$1" # First create the list file. printf "file '%s'n" [0-9][0-9].flac > podseglist.txt # Now concatenate them ffmpeg -f concat -safe 0 -i podseglist.txt "$outputname" rm podseglist.txt } # ====================================================================== # Basic filters. filter () { inputfile=$1 outputname=$2 # Using ffmpeg. # The high and low pass filters. hlpfil="highpass=f=80, lowpass=f=12000" # Band reject filters filter for 60Hz and another for 50Hz. linefil="bandreject=f=60:width_type=h:w=20, bandreject=f=50:width_type=h:w=20" # Using ffmpeg ffmpeg -i $inputfile -af "$hlpfil, $linefil" $outputname } # ====================================================================== # De-Essing. deessing () { inputfile=$1 outputname=$2 option=$3 # De-essing filter. ffmpeg -i $inputfile -filter_complex "deesser=i=0.5:m=0.5:f=0.5:s=$option" -b:a 336k -sample_fmt s16 $outputname } # ====================================================================== # Normalizing the audio to EBU R128 standard for review using ffmpeg. normffmpeg () { inputfile=$1 outputname=$2 # Normalize to EBU R128 standard. ffmpeg -i $inputfile -af loudnorm=I=-17:TP=-2.0:LRA=4.0 -ar 44.1k $outputname } # ====================================================================== # Output an MP3 version to help with reviewing. mp3convert () { inputfile=$1 # Get the name of the file and then create the output file name. j=$( basename $inputfile ".flac" ) outputname="$j"".mp3" # Convert to MP3. ffmpeg -i $inputfile $outputname } # ====================================================================== # Concatenate the separate audio files. concataudio fullpod-unfiltered.flac # Basic filtering. filter fullpod-unfiltered.flac filtered.flac # De-essing. This is the version to send for publishing. # The third argument should be "o" for de-essing, or "i" for pass through without de-essing. deessing filtered.flac fullpod.flac o # Normalized for review. normffmpeg fullpod.flac fullpod-norm.flac # Output an MP3 copy for review. mp3convert fullpod-norm.flac -------------------- -------------------- Provide feedback on this episode.

We spend so much time scrolling through curated lives that we start to lose touch with what is actually real. But the most important shift we can make is learning to unlearn the "norms" social media has forced on us. In this episode, we're getting honest about social media's effect on self-perception and the toxic habits we've accidentally normalized. I'm sharing the specific self-reminders that keep me grounded as a content creator and how to protect your mental space in a digital world. From the pressure of constant comparison to the truth about what happens behind the screen—this is a reminder that your worth isn't measured in likes, and it's okay to step back and reclaim your reality.If you've ever felt like you're falling behind because of what you see online, or if you're struggling to separate your true self from your digital self, this episode is for you.What's Inside:The Normalization Trap: Identifying the behaviors social media says are "normal" that actually drain our peace.Perception vs. Reality: How the digital world warps how we see ourselves and others.The Creator's Perspective: My personal grounding techniques for staying authentic in an aesthetic world.Digital Boundaries: Practical ways to be protective of your time and mental energy.With Love, Mafe.Go to https://beacons.ai/imissedmeand check out all of I Missed Me.Check out my personal socials belowhttps://beacons.ai/mafeanzures#selfgrowthjourney #boundaries #mindsetshift #imissedme Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Send us Fan MailAlright y'all - today I might ruffle some feathers, BUT - I promise it's because I care && because I want you to evaluate your mindset around health + wellness to tap into the BEST version if YOU :)Support the showTCY has a HOME on the internet! Give the website some love by clicking here!Shop TCY SwagWanna chat? Let's connect on the gram @thecaffeinatedyogico AND @caffeinatedyogitalksInterested in working together? Click here for details on 1:1  fitness, nutrition, or mobility coaching. There are also links to all things Sky's The Limit Yoga Co (like yoga events, and yoga teacher training). , 'POD10'  saves on all 1:1 fitness, mobility and nutrition guidance with yours truly! Save on all things :: No Cow **this company is no longer using code! Tap here to save and support the showManduka with the code "DanielleC10"FRE Skincare with the code "Danyell"CHIKE Nutrition with code "TCY"And head over to my Amazon page to shop items on use on the reg.

Listeners respond to Kgomotso Modise's ( standing in for Relebogile Mabotja) open line question about bad driving. 702 Afternoons with Relebogile Mabotja is broadcast live on Johannesburg based talk radio station 702 every weekday afternoon. Relebogile brings a lighter touch to some of the issues of the day as well as a mix of lifestyle topics and a peak into the worlds of entertainment and leisure. Thank you for listening to a 702 Afternoons with Relebogile Mabotja podcast. Listen live on Primedia+ weekdays from 13:00 to 15:00 (SA Time) to Afternoons with Relebogile Mabotja broadcast on 702 https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/2qKsEfu or find all the catch-up podcasts here https://buff.ly/DTykncj Subscribe to the 702 Daily and Weekly Newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 See omnystudio.com/listener for privacy information.

THE SPY IN WHITE takes listeners back to 1936 and into the shadowy streets of Istanbul. In this episode of Cracking the Code of Spy Movies, we decode one of the genre's earliest foundations: THE SPY IN WHITE.  Long before gadgets and explosions defined espionage cinema, suspense came from conversation and suspicion.  This classic thriller stars Valerie Hobson and James Mason in a tense story of loyalty, romance, and deception.  Their characters navigate political unrest, hidden allegiances, and emotional manipulation. Every meeting carries a risk. Every relationship hides a motive.  We explore how the film portrays espionage as a procedure rather than a spectacle.  How messages matter more than gunfire. And how timing matters more than action. The result is a quiet tension that shapes future spy storytelling.  The episode also examines its surprising influence on later classics. You'll hear clear connections to FROM RUSSIA WITH Love and DR. NO.  We even trace structural similarities to THE 39 STEPS and the grounded Cold War tone later seen in THE SPY WHO CAME IN FROM THE COLD.  This discussion breaks down why the movie still matters today.   It introduced emotional vulnerability as a spy weakness.    It framed romance as operational danger.   Normalized civilians are trapped inside intelligence conflicts.    And it proved that atmosphere can replace action.  If you enjoy classic cinema, James Bond history, or spy storytelling evolution, then this episode is for you.  It reveals a missing chapter of the genre's DNA.  In this episode you'll learn:  How THE SPY IN WHITE helped define realistic espionage storytelling  Why romance became a liability in spy narratives  The early blueprint for morally ambiguous agents  Connections to Bond films and Hitchcock thrillers  The film's role in shaping wartime British spy cinema   Tell us what you think about our decoding of the 1936 movie THE SPY IN WHITE  Have you seen this movie yet?  If not, did listening to this episode make you want to watch it?  If you have seen it, where do Dan and Tom get it right, and where do they get it wrong?  Let us know your thoughts, ideas for future episodes, and what you think of this episode. Just drop us a note at info@spymovienavigator.com.  The more we hear from you, the better the show will surely be!  We'll give you a shout-out in a future episode!     You can check out all our CRACKING THE CODE OF SPY MOVIES podcast episodes on your favorite podcast app or our website. In addition, you can check out our YouTube channel as well.     Episode Webpage:  https://spymovienavigator.com/episode/the-spy-in-white-decoded/ 

Jesse Brown, editor and publisher of Canadaland, discusses his six-part investigative podcast series, "What Is Happening Here," on antisemitism in Canada. He examines the surge in antisemitism since October 7th, from prevented mass murder plots to the systematic exclusion of Jews from Canadian institutions. He explores how anti-Zionist movements have mainstreamed hateful rhetoric, why progressive activists often dismiss Jewish concerns, and how media have failed to adequately cover this crisis.  This episode is a part of The Hub's new Fault Lines initiative, which examines the pressures pulling Canadian society apart and the principles that can hold it together. Click here to learn more: https://thehub.ca/fault-lines/ The Hub is Canada's fastest growing independent digital news outlet.   Subscribe to The Hub's podcast feed to get all our best content: https://tinyurl.com/3a7zpd7e (Apple) https://tinyurl.com/y8akmfn7 (Spotify) Watch a video version on YouTube: https://www.youtube.com/@TheHubCanada Follow The Hub on X: https://x.com/thehubcanada?lang=en   CREDITS: Amal Attar-Guzman - Producer and Editor Steve Staley - Host

Heeey what's up everyone! We are back with another episode of The Just Talk Podcast with Episode 362. Here's the breakdown.In this episode, Rich's brosin, Kevin Bendo, is back once again and talks about Asa Akira, Rich talks about normalizing gift cards, Jan talks about taking his new medicine, Tommy talks about anime?! and many more, and of course, "What Have You Been Up To/Whadda Ya Got?"With that said, as always, we thank you all for the listens/downloads and your continuous support. WE APPRECIATE AND LOVE YOU ALL! We hope you enjoy this episode and until next time, we're going silent.Follow Us On IG@thejusttalkpodcastEmail Usthejusttalkpodcast00@gmail.comSubscribe To Us On YouTubehttps://www.youtube.com/channel/UCo40E9rCSueQjDxPl21u8Mg

0:00 - Weekend Recap11:00 - NBA all star game 16:30 KD's burner leaks/How do you react to friends talking behind your back?25:00 - Does Lil Wayne's music have nay substance?33:00 - IS social media a connect or divider?39:00 is are extremist views being normalized?45:00 - are there pressures to be successful in your 30s?1:01:00 - Random Thoughts

Authors Herng Lee Tan, MSc, and Judith Ju Ming Wong, MBBCh, BAO, and editorialist Vicent Modesto i Alapont, MD, PhD, join CHEST® Critical Care Podcast Moderator Dan Fein, MD, to discuss their research into the impact of mechanical power normalized to predicted body weight on outcomes in pediatric ARDS.  This episode is part of a new series exploring articles published in our open access journal CHEST Critical Care.  DOI: 10.1016/j.chstcc.2025.100162 Disclaimer: The purpose of this activity is to expand the reach of CHEST content through awareness, critique, and discussion. All articles have undergone peer review for methodologic rigor and audience relevance. Any views asserted are those of the speakers and are not endorsed by CHEST. Listeners should be aware that speakers' opinions may vary and are advised to read the full corresponding journal article(s) for complete context. This content should not be used as a basis for medical advice or treatment, nor should it substitute the judgment used by clinicians in the practice of evidence-based medicine.  

Get the private reflections I share with leaders navigating scale  →  Sheila's NotesEpisode links.Sheila's Notes - Private reflections for leaders navigating scale

Get the plastic free rash guard that won't f*** you up -- https://www.alchemical.com.auStay hydrated with Sodii & get 15% OFF: BULLETPROOF15 https://sodii.com.au/bulletproofGet the ULTIMATE program for BJJ-- iOS: https://apps.apple.com/us/app/bulletproof-for-bjj/id6444311790Android: https://play.google.com/store/apps/details?id=com.bulletproofforbjj&utm_source=na_MedGet up on the BEST nutrition bar for BJJ athletes -- https://raisednutrition.com CODE: BULLETPROOF

In this episode, we break down the ICE shooting in Minneapolis and talk about what it reveals about state violence in America today. We start with the story of Mexican Spider-Man, a real-life hero who saved people during a mall shooting, and then shift into a much heavier conversation about how police brutality and federal force are handled when violence comes from the state.We talk about the ICE shooting in Minneapolis, how quickly the media spin machine went to work, and how propaganda shapes public understanding of state violence. We examine how law enforcement accountability disappears, how character assassination becomes the default response, and why moments like this signal something far bigger than a single incident.We also dig into the DEI hypocrisy playing out in real time. We talk about how inclusion is celebrated in safe, marketable ways while state violence against marginalized communities is ignored or justified. We explore how police brutality, ICE actions, and media narratives combine to normalize violence and erode civil liberties.Finally, we bring this conversation back to parenting. We talk about how to raise thoughtful, critical news consumers, how to help kids understand what is happening without overwhelming fear, and how to stay grounded and solution-oriented when institutions fail. This is not an easy episode, but it is a necessary one.

Today on True Crime Today, we're examining what may be the most painful aspect of the Reiner case—how a family's ability to perceive danger can erode over time until the unthinkable feels normal. Former FBI Special Agent Robin Dreeke joins us to break down the family dynamics that allegedly led Rob and Michele Reiner to go to sleep on December 13th, 2025, in the same house with their son Nick—hours after watching him behave erratically at a holiday party. Robin spent 21 years with the FBI, including serving as Chief of the Counterintelligence Behavioral Analysis Program, and he specializes in understanding how trust gets exploited and how threat perception changes over time. The Reiners called police twice in 2019—a welfare check and a mental health call. They perceived danger then. But Rob publicly said he regretted listening to professionals instead of Nick. Robin explains how that shift happens—how someone can train their family to distrust outside expertise over decades. Nick co-wrote a semi-autobiographical film with his father about their relationship. Robin analyzes what that level of narrative control means for family power dynamics. The Reiners had tried tough love. It hadn't worked. They blamed themselves. Robin explains how manufactured guilt functions as a manipulation tool—and how legitimate frustration with a broken system becomes a vulnerability. Sources say the parents became distrustful of medical professionals over the years. At what point does that become something a manipulative person can exploit?#TrueCrimeToday #NickReiner #RobReiner #MicheleReiner #RobinDreeke #FBI #FamilyDynamics #ThreatBlindness #MentalHealthCrisis #HollywoodTragedyJoin Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspodInstagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/tonybpodListen Ad-Free On Apple Podcasts Here: https://podcasts.apple.com/us/podcast/true-crime-today-premium-plus-ad-free-advance-episode/id1705422872This publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.

Welcome to Season 7 of the Squared Circle Podcast, with your host Marie Shadows!https://patreon.com/marieshadowshttps://marieshadows.substack.comhttps://rumble.com/user/marieshadowsDamn, January 2026—wisdom tooth out, cold recovery, but Season 7 of the Square Circle Podcast is here! We're closing 2025 (burnout, reflections, cesspool Twitter) & charging into 2026: chasing conversations, tape study breakdowns, calling out wrestling community BS. No trendy voice—real talk on partnerships (WWE/TNA good, AEW/NJPW slimy), content creator fakeness, women's "equity" nonsense (merit over gender/skin color—fuck feminism ruining minds), and more.Timestamps:00:00:00 - Intro: Happy New Year, Season 7 Kickoff, and Episode Overview00:00:51 - Reflections on 2025: Building Over Six Years, Burnout, and Looking Ahead00:01:07 - January Update: Wisdom Tooth Recovery, No NJPW Reviews, and Smooth Healing00:03:19 - Back to Normal: Diet Changes, Solid Foods, and Tweeting Wrestling00:03:31 - Wrestling Community Critique: Kayfabe vs. Real Analysis, Partnerships, and True Voices00:07:07 - Partnerships Breakdown: AEW/NJPW (No Boost, Overpaid) vs. WWE/TNA/Noah (Done Right)00:08:51 - Content Creators: Drop Fake Voices, Longevity Over Trends, Standalone Episodes00:11:52 - Avoiding Burnout: Balance Streaming with Essays, Mental Health Real Talk00:13:41 - Anti-Drama Farming: Stop Clowning Meltzer/Russo/Bischoff, Debunk with Sources00:15:40 - Original Content: Value Perspectives, Not Bullying—When Does It Stop?00:18:19 - Cyberbullying Flip: From "Bad" to Normalized, Need a Facelift in 202600:19:24 - Season 7 Vision: Chasing Conversations, 30-45 Min Topics, No Overwhelm00:20:21 - Topics Tease: Women's "Equity" BS (Merit Over Gender/Color), Fuck Feminism00:22:46 - Men/Women as Units: Help Isn't Weakness, Destroyed Minds from Ideology00:23:25 - Tape Study Focus: Match Breakdowns, Psychology, Under Square Circle Umbrella00:24:45 - 2025 Burnout: Hogan/Charlie Kirk Losses, Cesspool Twitter, Lost Friends00:26:02 - Branding Shift: Ditch Ringology, Stick with Tape Study—Open to Pros for Consults00:26:30 - Patreon Revival: Discord Notes for Off-Topic (Current Events, Frustrations)00:32:52 - Discord Notes Examples: Minnesota Anarchy, EBT Misinfo, Denying the Obvious00:35:10 - JCW Lunacy Exclusives on Patreon: YouTube Copyright Issues Suck00:37:00 - Money in Content: Transparency on Splits, Memberships, Support Options00:39:46 - More Patreon: Tape Study Reviews, Submit Ideas (No Guarantees)00:40:59 - Fantasy Booking/Reviews: Slow Down, Add Elements, Showcase Untouched Areas00:42:32 - Community Building: Create Original Lanes, Confidence, Adaptability00:50:00 - Recap: Season 7 Plans, Chasing Conversations, Tape Study Sessions Interviews00:57:02 - Spotify 2025 Wrapped: Growth Stats, Top Episode, Awards, Partner Program Goal01:01:07 - Content Plans: Mini Episodes, Reviews, Live Streams on Patreon/Rumble/Twitch01:05:22 - Substack Shift: Newsletter for Write-Ups, Links to Content01:06:30 - Wrestle Kingdom 20 Tease: New Directions, Contracts Rumors (Evil to WWE?)01:07:54 - Timeline BS: Engagement Farming on "Who Is Evil?"—Tag Knowledgeable People01:09:09 - Algorithm Rant: Negativity Wins, But Try Positive/Educational01:11:47 - Community Frustrations: Unload Negativity, No Productivity, Want Authority01:13:16 - Marty Scrull Me Too Clarification: Story Wrong, One-Time, Victim Forgave—Facts Over Emotion01:25:06 - Outro: Thanks, Links, Support, Tease Next Episodes (Wrestle Kingdom, Tsuji)

In this episode of Single (Not Spiraling), we talk about the moment you realize the things you once accepted in dating no longer feel okay. From inconsistency and emotional unavailability to over-explaining, self-abandonment, and confusing anxiety for chemistry, this episode explores what it actually looks like to stop normalizing behavior that keeps you disconnected from yourself. If you're navigating dating, healing from codependency, decentering men, or learning to trust your body and boundaries again, this conversation is an invitation to notice what you've outgrown — and to honor the self-trust it took to get here.Stay connected here Connect with me on Instagram  Please email me here: Lauren@ohyeahcoaching.comApply for coaching HEREWould You Date You? FREE guide

Listen to today's podcast... I must have been sleeping. I missed the Festival of Sleep this morning. The celebration is an opportunity to sleep in, snooze, doze, nap, and catch 40 winks. However, I did doze off and I did go to bed early last night, so I guess that I unknowingly celebrated it anyway. The Festival of Sleep reminds us that we all could use a little more sleep. Before the light bulb was invented, we use to get on average 10 hours of sleep. Now many of us are lucky to get 6.5 hours of sleep per night. Yet, we know that we need 7-9 hours per night just to stay healthy. In fact, I think that we should celebrate the Festival of Sleep for two solid weeks – The week between Christmas and New Years and then the week after New Years. What a great way to end an old year and start a new year. Take One Action Today To Build Your #Resiliency!      Tips For Building Resiliency and Celebrating The National Festival Of Sleep: Obvious tip alert – Go to sleep. Watch for those things that interfere or prevent you from getting a good night's sleep. If you are like the majority (65%) of the population who do not get the right kind or length of sleep, you need to find the right strategies to get a good night sleep. Go to bed at the same time and get up at the same time. Keep your room cool. Block outside noises. Watch the kinds of foods that you eat prior to bedtime. Don't exercise right before bed. Looking for more ways to build your resiliency? Take my free on-line vulnerability test at worksmartlivesmart.com under the resources and courses tab. #mentalhealth #hr

Antisemitic incidents are rising across the U.S. and around the world. Michael's answer to today's Smerconish.com poll question, "Is antisemitism becoming normalized in our society today?" is, sadly, "Yes." Listen here to hear his take, then vote, and please rate, review, and share this podcast. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Diddy's mother is firing back at Netflix — and the accusations are personal. The documentary "Sean Combs: The Reckoning" doesn't just cover Diddy's trial and conviction. It makes a bigger argument: that the behavior that landed him in federal prison started in childhood. That it was learned. Normalized. That before there was Puff Daddy or Bad Boy Records, there was a kid in Mount Vernon — and whatever happened to that kid matters. Two witnesses make the case against Janice Combs. Tim Patterson, a childhood friend, says he watched Janice physically abuse Sean for years. He describes parties at the family home with pimps, drug dealers, and adults having sex in rooms kids could walk into. Kirk Burrowes, who co-founded Bad Boy Entertainment, says he witnessed Sean slap his mother during an argument after the 1991 City College stampede that killed nine people. Janice is calling it all lies. She says she raised Sean with love and hard work as a single mother. She says Patterson's claims are "salacious" and designed to promote the documentary. She says Burrowes has been trying to steal Bad Boy Records for thirty years and this is just his latest play. But here's what she doesn't address: There's footage of Janice herself joking about giving Sean "a lot of beatings" on national television. And Burrowes kept handwritten journals from his time inside Bad Boy. Today we break down the allegations, the evidence, the rebuttals, and the credibility problems on both sides — including the fact that this documentary was executive produced by 50 Cent, Diddy's longtime rival. Sean Combs was convicted on two counts of transportation to engage in prostitution. He was acquitted on racketeering and sex trafficking charges. Janice Combs denies all allegations. All parties are entitled to the presumption of innocence on unproven claims. #Diddy #SeanCombs #JaniceCombs #Netflix #TheReckoning #TrueCrime #CrimeWeekly #BadBoyRecords #50Cent #DiddyDocumentary Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspod Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/tonybpod Listen Ad-Free On Apple Podcasts Here: https://podcasts.apple.com/us/podcast/true-crime-today-premium-plus-ad-free-advance-episode/id1705422872

Diddy's mother is firing back at Netflix — and the accusations are personal. The documentary "Sean Combs: The Reckoning" doesn't just cover Diddy's trial and conviction. It makes a bigger argument: that the behavior that landed him in federal prison started in childhood. That it was learned. Normalized. That before there was Puff Daddy or Bad Boy Records, there was a kid in Mount Vernon — and whatever happened to that kid matters. Two witnesses make the case against Janice Combs. Tim Patterson, a childhood friend, says he watched Janice physically abuse Sean for years. He describes parties at the family home with pimps, drug dealers, and adults having sex in rooms kids could walk into. Kirk Burrowes, who co-founded Bad Boy Entertainment, says he witnessed Sean slap his mother during an argument after the 1991 City College stampede that killed nine people. Janice is calling it all lies. She says she raised Sean with love and hard work as a single mother. She says Patterson's claims are "salacious" and designed to promote the documentary. She says Burrowes has been trying to steal Bad Boy Records for thirty years and this is just his latest play. But here's what she doesn't address: There's footage of Janice herself joking about giving Sean "a lot of beatings" on national television. And Burrowes kept handwritten journals from his time inside Bad Boy. Today we break down the allegations, the evidence, the rebuttals, and the credibility problems on both sides — including the fact that this documentary was executive produced by 50 Cent, Diddy's longtime rival. Sean Combs was convicted on two counts of transportation to engage in prostitution. He was acquitted on racketeering and sex trafficking charges. Janice Combs denies all allegations. All parties are entitled to the presumption of innocence on unproven claims. #Diddy #SeanCombs #JaniceCombs #Netflix #TheReckoning #TrueCrime #CrimeWeekly #BadBoyRecords #50Cent #DiddyDocumentary Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspod Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/tonybpod Listen Ad-Free On Apple Podcasts Here: https://podcasts.apple.com/us/podcast/true-crime-today-premium-plus-ad-free-advance-episode/id1705422872

Diddy's mother is firing back at Netflix — and the accusations are personal. The documentary "Sean Combs: The Reckoning" doesn't just cover Diddy's trial and conviction. It makes a bigger argument: that the behavior that landed him in federal prison started in childhood. That it was learned. Normalized. That before there was Puff Daddy or Bad Boy Records, there was a kid in Mount Vernon — and whatever happened to that kid matters. Two witnesses make the case against Janice Combs. Tim Patterson, a childhood friend, says he watched Janice physically abuse Sean for years. He describes parties at the family home with pimps, drug dealers, and adults having sex in rooms kids could walk into. Kirk Burrowes, who co-founded Bad Boy Entertainment, says he witnessed Sean slap his mother during an argument after the 1991 City College stampede that killed nine people. Janice is calling it all lies. She says she raised Sean with love and hard work as a single mother. She says Patterson's claims are "salacious" and designed to promote the documentary. She says Burrowes has been trying to steal Bad Boy Records for thirty years and this is just his latest play. But here's what she doesn't address: There's footage of Janice herself joking about giving Sean "a lot of beatings" on national television. And Burrowes kept handwritten journals from his time inside Bad Boy. Today we break down the allegations, the evidence, the rebuttals, and the credibility problems on both sides — including the fact that this documentary was executive produced by 50 Cent, Diddy's longtime rival. Sean Combs was convicted on two counts of transportation to engage in prostitution. He was acquitted on racketeering and sex trafficking charges. Janice Combs denies all allegations. All parties are entitled to the presumption of innocence on unproven claims. #Diddy #SeanCombs #JaniceCombs #Netflix #TheReckoning #TrueCrime #CrimeWeekly #BadBoyRecords #50Cent #DiddyDocumentary Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspod Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/tonybpod Listen Ad-Free On Apple Podcasts Here: https://podcasts.apple.com/us/podcast/true-crime-today-premium-plus-ad-free-advance-episode/id1705422872

What's Truly Normal vs. What We've Normalized?? Let's Talk!

Normalized Racial HierarchiesTrump's language has always implied that “real Americans” look a certain way. Under him:White grievance becomes political fuel.White victimhood gets framed as national crisis.Policies are shaped around the fears of white suburban voters.Become a supporter of this podcast: https://www.spreaker.com/podcast/racism-white-privilege-in-america--4473713/support.

Milei Wins; Gaza Update; Trade Deals; Military Use; Fuentes Normalized | Yaron Brook Show

Roddy Silk and Kyle Balkissoon dig into Delta Airlines (DAL) earnings. Kyle discusses how airlines are moving towards an “unbundled model” and says Delta is capturing more of the “premium” market. He also argues that Delta stock is cheap right now. Roddy thinks we're starting to see a “normalization” of travel as corporate demand returns. He also covers airline investments in loyalty programs and co-branded credit cards.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Things That Are Weird But Normalized full 489 Tue, 30 Sep 2025 14:28:17 +0000 H6qh3cTAgyibwaWZJ4hvN1w50MhnK5xA hot tub,weird,weird activities,music,society & culture,news Kramer & Jess On Demand Podcast hot tub,weird,weird activities,music,society & culture,news Things That Are Weird But Normalized Highlights from the Kramer & Jess Show. 2024 © 2021 Audacy, Inc. Music Society & Culture News False https://player.amperwavepodcasting.com?feed-link=https%3

I describe 10 everyday psychic experiences I think we all have and then I tell 10 more!This is a video podcast on Spotify and YouTube.Support the Podcast! Comment with something that is an everyday psychic phenomena for us, in your opinion! Also, please subscribe and listen!!!And... Thank you for watching and listening.

Nuclear capabilities have increased dramatically over the past decade and continue to grow, with the U.S. Department of Defense spending $1.5 trillion on nuclear weapons and infrastructure upgrades. But the conversation around nuclear war has only gotten quieter. The anti-nuclear movement of the 1960s-80s was one of the largest protest movements of its time, with a million protesters marching in New York to demand an end to nuclear weapons. Yet the threat is rarely mentioned today. We'll talk about the anti-nuclear movement, the normalization of nuclear warfare, and what some experts hope to change about that. Guests: Rivka Galchen, contributor, The New Yorker; her most recent article in The New Yorker is "Why Don't We Take Nuclear Weapons Seriously?" Learn more about your ad choices. Visit megaphone.fm/adchoices

Distinguishing speech from force is essential to eradicating violence in America.

This week, we look at some of the most recent viral trends that borrow from kink and ask, “Is kink becoming mainstream?” In this episode: Kinkery is having a Labor Day sale! Use code... The post Is Kink Being Normalized or Is It Just Going Viral? appeared first on Loving BDSM.

Day 2 of society is broken and we have examined why. Chiefly, We have elected a political class who has normalized lunacy. Johnny Heidt with guitar news. Heard On The Podcast:Mass shooting at Annunciation Church leaves 2 kids dead, 18 hurt; extra law enforcement to support Minneapolis2 Minnesota pharmacists sue state, Walgreens over religious objectionsRussian missiles pound Ukraine, damage EU and British officesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

President Trump called on Texas Republicans to redraw their state's congressional maps to favor Republican candidates. In response, California voters will get a chance to approve a plan to redraw their state's maps to favor Democratic candidates. We look at how partisan gerrymandering has become more politically accepted — and expedient.This episode: senior White House correspondent Tamara Keith, and voting correspondents Miles Parks & Ashley Lopez.This podcast was produced and edited by Casey Morell & Bria Suggs. Our executive producer is Muthoni Muturi.Listen to every episode of the NPR Politics Podcast sponsor-free, unlock access to bonus episodes with more from the NPR Politics team, and support public media when you sign up for The NPR Politics Podcast+ at plus.npr.org/politics.For handpicked podcast recommendations every week, subscribe to NPR's Pod Club newsletter at npr.org/podclub.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Featuring an interview with Dr Jacob Sands, including the following topics: TROPION-Lung05 Trial: Datopotamab Deruxtecan for Advanced or Metastatic Non-Small Cell Lung Cancer (NSCLC) with Actionable Genomic Alterations (0:00) Sands J et al. Datopotamab deruxtecan in advanced or metastatic non-small cell lung cancer with actionable genomic alterations: Results from the phase II TROPION-Lung05 study. J Clin Oncol 2025;43(10):1254-65. Abstract Phase III Randomized Clinical Trial Data with TROP2-Targeting Antibody-Drug Conjugates for Previously Treated Advanced NSCLC (6:52) Ahn M-J et al. Datopotamab deruxtecan versus docetaxel for previously treated advanced or metastatic non-small cell lung cancer: The randomized, open-label phase III TROPION-Lung01 study. J Clin Oncol 2025;43(3):260-72. Abstract Reinmuth N et al. Longer follow-up for survival and safety from the EVOKE-01 trial of sacituzumab govitecan (SG) vs docetaxel in patients (pts) with metastatic non-small cell lung cancer (mNSCLC). ASCO 2025;Abstract 8599. Paz-Ares LG et al. Sacituzumab govitecan (SG) vs docetaxel (doc) in patients (pts) with metastatic non-small cell lung cancer (mNSCLC) previously treated with platinum (PT)-based chemotherapy (chemo) and PD(L)-1 inhibitors (IO): Primary results from the phase 3 EVOKE-01 study. ASCO 2024;Abstract LBA8500. Evaluating TROP2 Expression Levels Through Normalized Membrane Ratio of TROP2 in the TROPION-Lung01 Trial (12:26) Garassino MC et al. Normalized membrane ratio of TROP2 by quantitative continuous scoring is predictive of clinical outcomes in TROPION-Lung01. WCLC 2024;Abstract PL02.11. CME information and select publications

Should you train differently for Ironman Wisconsin and Lake Placid than you do for Florida or California? The answer is, yes. Today we talk about the differences in swim, bike, and run training for different courses. We talk about the the grime and grind of tougher swims and rides vs. downstream swims and flatter bikes. They all have their challenges and we get into upper body strength, riding hills, staying in aero, more or less swim training, and how it all affects your run. We also talk about how you can train more specifically to meet the demands of your race, no matter what it is. Lower back sore on the bike? Neck hurt after the swim? Should you ride more big gear or high cadence? It's all in today's episode. Support the podcast and get some awesome C26 gear in the process at our store!  Topics: More on the Wisconsin course Hoodie and shorts weather What's the best course for you? Sturdy body training Building durability Long and grinding Z2 rides What are you willing to train the most at? Upper body focus Average power vs. Normalized power Energy spent navigating people around you on the swim and bike Signing more and how it takes energy Why is your lower back sore? Pull Buoy and Paddles Fatigued arms and how that affects bike RPE Hit hills hard Big gear climbing Extra riding to train your saddle Smoothing out your gearing Training for the specific race course Practice sighting in the pool Train to be in the wrong gear   Mike Tarrolly - mike@c26triathlon.com Robbie Bruce - robbie@c26triathlon.com

In this episode of the Sober Motivation Podcast, host Brad welcomes Jane, who shares her compelling journey of growing up surrounded by alcohol, struggling to fit in, and eventually becoming dependent on alcohol herself. She recounts her early experiences with alcohol, the impact of her father's drinking, and her own struggles with binge drinking and blackouts. Jane talks about her attempts to moderate her drinking, the escalation in her twenties and thirties, and the impact on her relationships and motherhood. Despite the normalization of drinking in her circle, Jane eventually seeks help, leading her to Alcoholics Anonymous and ultimately finding sobriety with the help of Naltrexone. Now over two years sober, Jane discusses how she changed her life, started a business, and is helping others, particularly the youth, navigate their own journeys with alcohol.   ----------- Jane's Instagram: https://www.instagram.com/letsgetapedi/

So much that has been normalized that simply isn't "normal" or healthy & helpful in parenting... In this episode I discuss some as well as all that was and is normal that has been shamed, criticized, and repressed.I hope this is helpful and promotes more peace in your day!Love, KaitMy Course:https://www.themellowmama.org/teacher-trainingMellow Moments:https://www.themellowmama.org/productsInstagram:@themellowmamaYouTube:https://www.youtube.com/watch?v=_f3dhVUINH4&feature=youtu.be

Join us as we discuss extreme behaviors being normalized! We talk about client examples, sports, meds etc. Check it out! 

Rex Heuermann's Wife SHOWS OFF Secret Rooms She Was BANNED From Entering | "Nothing Was Off Limits" This footage will make you question everything about denial and control. Psychotherapist Shavaun Scott analyzes the most contradictory statements ever captured as Rex Heuermann's wife gives a tour of rooms she was BANNED from entering while claiming "nothing was off limits." Watch as Asa Ellerup shows us: The gun room with a STEEL DOOR and combination lock The "secret room" under the stairs she couldn't access for 27 YEARS The basement where prosecutors believe women were murdered Her dismissal of murder planning documents as "Dexter style" fiction Most disturbing: She demonstrates these locked spaces while insisting Rex kept no secrets. This is "doublethink" - holding two contradictory beliefs simultaneously. Key psychological insights: Why Asa closes her eyes when confronted with evidence How she was the "4th person in 30 years" to enter the gun room Her claim investigators are "picking, picking, picking" to create a narrative The childhood bedroom where murders allegedly occurred How denial can override physical locked doors in your own home This isn't just about one woman's denial - it's about recognizing control patterns: ✓ Locked rooms you can't enter ✓ No access to finances ✓ Complete isolation from support ✓ Normalized abnormal behavior Victoria Heuermann now believes her father is "most likely" guilty. Asa continues visiting him weekly, maintaining his innocence despite DNA evidence linking him to seven murders. #RexHeuermann #GilgoBeachKiller #AsaEllerup #TrueCrime #LockedRooms #SerialKiller #PsychologicalAnalysis #BodyLanguage #Denial #LongIslandSerialKiller Want to comment and watch this podcast as a video?  Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspod Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/tonybpod Listen Ad-Free On Apple Podcasts Here: https://podcasts.apple.com/us/podcast/true-crime-today-premium-plus-ad-free-advance-episode/id1705422872  

Rex Heuermann's Wife SHOWS OFF Secret Rooms She Was BANNED From Entering | "Nothing Was Off Limits" This footage will make you question everything about denial and control. Psychotherapist Shavaun Scott analyzes the most contradictory statements ever captured as Rex Heuermann's wife gives a tour of rooms she was BANNED from entering while claiming "nothing was off limits." Watch as Asa Ellerup shows us: The gun room with a STEEL DOOR and combination lock The "secret room" under the stairs she couldn't access for 27 YEARS The basement where prosecutors believe women were murdered Her dismissal of murder planning documents as "Dexter style" fiction Most disturbing: She demonstrates these locked spaces while insisting Rex kept no secrets. This is "doublethink" - holding two contradictory beliefs simultaneously. Key psychological insights: Why Asa closes her eyes when confronted with evidence How she was the "4th person in 30 years" to enter the gun room Her claim investigators are "picking, picking, picking" to create a narrative The childhood bedroom where murders allegedly occurred How denial can override physical locked doors in your own home This isn't just about one woman's denial - it's about recognizing control patterns: ✓ Locked rooms you can't enter ✓ No access to finances ✓ Complete isolation from support ✓ Normalized abnormal behavior Victoria Heuermann now believes her father is "most likely" guilty. Asa continues visiting him weekly, maintaining his innocence despite DNA evidence linking him to seven murders. #RexHeuermann #GilgoBeachKiller #AsaEllerup #TrueCrime #LockedRooms #SerialKiller #PsychologicalAnalysis #BodyLanguage #Denial #LongIslandSerialKiller Want to comment and watch this podcast as a video?  Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspod Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/tonybpod Listen Ad-Free On Apple Podcasts Here: https://podcasts.apple.com/us/podcast/true-crime-today-premium-plus-ad-free-advance-episode/id1705422872

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As President Trump's trade war with China intensifies, 130 countries seek to negotiate tariff reductions. The U.S. must balance economic pain with strategic goals to counter China's leverage. Could AOC and Bernie Sanders be on the 2028 Democratic ticket? Radical "journalist" Taylor Lorenz draws outrage for defending the UnitedHealthcare CEO's alleged assassin. Stu's new favorite member of Congress, Rep. Jasmine Crockett (D-Texas), is under investigation for dozens of political contributions through the Democratic fundraising platform ActBlue. Stu and Pat discuss a potential presidential run for ESPN's Stephen A. Smith: Is he the Democratic version of Donald Trump? Did the Los Angeles Lakers make a good decision picking Bronny James? Learn more about your ad choices. Visit megaphone.fm/adchoices

Kate Lindsay and Candice Lim recap their weekends which include Waymo cars and accidentally bumping into content creators, which brings them to the recent kerfuffle between Glacier Express and Influencers in the Wild. Earlier this month, Influencers in the Wild — an Instagram account that crowdsources and posts footage of content creators in public spaces — was asked to remove a video that featured one of Glacier Express' employees being filmed and posted without their consent. The train company cited Article 28 of the Swiss Civil code, which dictates that individuals have the right to their own image. But this incident begs the question: do accounts like Influencers in the Wild contribute to a troubling self-surveillance culture, and what rights do any of us have if we accidentally end up in someone's vlog or Instagram post? This podcast is produced by Olivia Briley, Daisy Rosario, Candice Lim, and Kate Lindsay. Learn more about your ad choices. Visit megaphone.fm/adchoices