No BS Newshour Episode #362
Imagine back on Covid for a moment.
Instead of locking kids out of school, Whitmer had ordered all children into school.
The healthy kids would be housed on one side of the building. The infected kids on the other side.
And those who died were stored in the cafeteria refrigerator.
Can you imagine?
Would you have stood for it?
But that’s exactly what Gaslighting Gretchen ordered in the nursing homes. She continues to deny the deaths or the fact that she actually ordered it.
Where’s the investigation? How many are dead?
On this, the anniversary of her deadly executive order 2020-50, we ask what happened and what’s changed?
With whistleblowers Joe LeBlanc and nurse Jennifer Laurain.
Transcript:
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The March of Time.
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Flashback.
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2020, the beginning of the coronavirus pandemic.
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Michigan Governor Gretchen Whitmer signs a controversial
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emergency order,
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forcing infected people into nursing homes.
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Every action we took was based on the best science
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and the best information available.
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But it was all just political science.
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Whitmer plagiarized the idea from New York Governor
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Andrew Cuomo.
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Cuomo dropped the charade after a wave of death and
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public outcry.
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Not our woman from Michigan.
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Instead of stopping the nursing home deaths,
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Whitmer simply failed to count them.
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Our policies saved a lot of lives in our nursing homes.
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When caught,
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she death slit the public.
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Nursing homes were never required to take.
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patients who had COVID.
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They just weren’t.
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Nursing homes were forced to take COVID patients.
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They were not.
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They never were.
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Will the killer in high heels ever be held accountable?
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Will little Gretsch come out from behind the folders
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and look the American people in the eye?
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Tune in next week for another episode of How a Political
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Career Burns.
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Live from downtown Detroit,
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it’s the No Bullshit News Hour with my main man,
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Charlie Ladell and Karen Dumas.
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Sister breaking up.
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Dumb or bullshit.
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Dumb or bullshit.
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This message of uplift is brought to you by business
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and personal wealth advisor Luke Nowacki,
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who reminds you that what does it profit a man to
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gain the whole world but never enter the kingdom of
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But while you’re waiting,
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Nowacki wants you to remember that overreaction is
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not a sound financial strategy.
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So call Luke Nowacki at 248-663-4748 for sound financial
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American Coney Island.
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So good, even Al Roker from the Today Show eats here.
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Not like that other guy,
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Al Joker,
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who eats at Lafayette.
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So make sure you’re a Roker and not a joker.
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American Coney Island.
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Okay, and remember this Friday,
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this Friday,
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Good Friday,
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is the last day for the delicious fish sandwich here
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at the Coney Island,
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which I will not be eating because I fast on Good
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But anyway,
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this is a dark anniversary.
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It’s the five-year anniversary of Gretchen Whitmer
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signing the disastrous order to put infected old people
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in the nursing homes with healthy old people.
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And it took the New York Times of all publications
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to expose Gretchen Whitmer for what she truly is,
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which is a feckless trust fund sorority girl unequipped
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Baited into the Oval Office by Trump for what she thought
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was a one-on-one meeting,
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Whitmer walked into a writhing orgy of reporters.
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Caught out,
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her first instinct was to hold some folders over her
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A wily photographer,
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a big game hunter from the New York Times,
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snapped the image that should end her political career.
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Now, Whitmer needs to be investigated.
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This week marks the five-year anniversary of her infamous
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executive order 2020-50,
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which required nursing homes to accept COVID-positive
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To this day,
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Whitmer insists the death toll in its nursing homes
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is below the national average.
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She cites science and data.
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And remember,
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I had to sue her for that data.
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And as it turned out,
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Whitmer was citing political science and data that
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did not exist.
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So Michigan’s auditor general rolled up his sleeves.
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He found that the true death toll in the state’s long-term
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care facilities was 42%
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higher than what the Whitmer administration was reporting.
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And the true count may be double that.
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The report never got much traction as Whitmer flunkies
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attacked the findings as bogus and accused the auditor
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of political hackery.
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The local press,
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to its damnable shame,
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went along with the narrative.
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That’s the data part of it.
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And then there’s the actual science part of it.
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A recent study in the journal,
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it’s right here,
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just so you know.
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The Journal of the American Medical Association showed
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there was a 72%
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higher mortality rate in nursing homes that commingled
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the sick and the healthy than those that housed the
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healthy only.
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That’s the science.
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When confronted with the facts,
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Whitmer sycophants argue that it’s time to move on,
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that the pandemic was a once in a lifetime emergency,
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and the governor had to make tough decisions.
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But Executive Order 2020-50 was not a tough decision.
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It was a stupid decision,
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plagiarized from New York Governor Andrew Cuomo,
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who canceled his order 40 days after implementing
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it in a wave of death and outrage.
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Nevertheless,
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Cuomo lost his job,
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not Whitmer.
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Unchallenged by the media,
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she continued the deadly practice of commingling for
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months more,
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years more,
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because once it started,
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it didn’t go backwards.
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She ordered nursing homes locked down to keep COVID
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out, but ordered the infected to be let in.
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Let that sink in.
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Lock you out from your loved one and then bring in
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sick people.
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In many homes,
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and I remember I went to these things,
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I helped remove the dead.
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In many of these homes,
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the only thing separating the sick ward from the susceptible
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were plastic shower curtains.
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the hubris and stupidity of it,
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the bogus science and data,
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the tough decisions.
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It’s criminal.
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Now, I never in my life have seen a prairie fire,
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but I’m sure I wouldn’t try to douse the flames by
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throwing hay bales on top of it.
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I still keep the death certificate of Clarence Billett.
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He’s 86 and he contracted COVID in a Detroit nursing
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home for veterans.
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Clarence was tossed around like a bag of soiled laundry,
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going from home to hospital and back into the home
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and back into the hospital,
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spreading COVID along the way,
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8 separate times during this order.
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Imagine his suffering.
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Clarence eventually died of COVID,
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but his name and place of residence were never recorded.
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It’s also worth remembering that while Clarence was
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bouncing around in the back of an ambulance,
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Whitmer was bouncing around on Twitter and TikTok,
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starring in cringy videos in an effort to become a
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social media influencer rather than the steady hand
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of influence that we all craved.
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And now, with one photograph,
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the entire country has seen what we here know.
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Whitmer is an unserious person who lacks the genetics
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to govern.
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When the going got tough,
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she covered her face,
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covered her ass,
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and clicked her heels.
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But the only people who disappeared were the elderly
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in Michigan’s nursing homes.
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Now I want to welcome in,
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he’s my brother,
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I call him nursing home Joe,
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but it’s Joe LeBlanc,
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the CEO and president of Archangel Senior Management.
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You used to be on the board of the Michigan’s assisted
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living association.
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Like you were up in there.
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Yeah, man,
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you were up in there.
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I was vice chair for two years.
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I was on the board for three or four.
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And you know,
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you saw this shit and you let it be known.
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And it just got to a point where you blew the whistle.
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Everybody knows the problems.
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Everybody knows.
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What are you going to do?
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It’s a huge,
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massive system that,
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how do you break through that?
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But didn’t we know the,
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I mean, that’s the thing.
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I also want to welcome in Jennifer Lorraine,
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registered nurse,
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who at the time it is order,
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was the director of nursing at the Lodge of Taylor,
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which was one of the hubs,
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the original places where people that were stable
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but had COVID were brought in.
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You there,
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I can’t see her.
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Mark is, can you see her?
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It’s cool.
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So Jen, you guys were the,
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let me put it this way,
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the hubs,
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did they have uninfected people in them when the state
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mandated that you had to accept COVID people too?
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Was there both cohorts?
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And how did you keep them separate?
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What was the difference?
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What was the barrier?
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Was it a shower curtain,
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Was it hermetically sealed glass doors?
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So originally in a secure area,
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so to speak,
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with people not going through.
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And then as COVID spread through the other part of
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the building,
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and we had to keep moving people to different rooms
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to stop the spread of their roommates and so forth,
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It just became the whole building.
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Was it protocol or was it left to you to decide what
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to do in terms of navigating and managing the incoming
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and the existing patients?
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Like was there protocol shared and said,
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you know,
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we’re bringing in patients that are infected and do
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A, B, and C,
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or was it just left to you or the facility to decide
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what and how to do?
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So the patient,
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the direction came from the corporation.
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and the corporation was seeing directions from the
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And so we were reporting to the state and the CDC what
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we were doing,
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who was coming in,
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where they were in the building,
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when they tested positive,
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so forth.
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So they would give us guidelines to,
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you know,
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move these people into this area.
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Now, let me just cut you.
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Make an answer short because your phone stinks,
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Okay, no offense on that,
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but it just does.
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What she’s talking about was,
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Joe, was the corporate overlords.
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So you, here’s what you have.
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You, here’s what,
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this is how deep Joe is in it.
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You see, this is the order 2020-50.
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And before it goes,
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His association,
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you know,
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they represent,
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you know,
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The nursing homes.
262
00:11:18,000 –> 00:11:19,080
Tens of thousands of people.
263
00:11:19,360 –> 00:11:22,080
No, these are more like the senior living place.
264
00:11:22,080 –> 00:11:23,040
That’s where he lives.
265
00:11:23,120 –> 00:11:23,680
Right, where,
266
00:11:23,840 –> 00:11:24,240
you know,
267
00:11:24,320 –> 00:11:25,720
what we think of as a nursing home,
268
00:11:26,000 –> 00:11:26,960
not the cattle pens,
269
00:11:26,960 –> 00:11:29,760
but grandma plays bingo and there’s friends and they
270
00:11:29,920 –> 00:11:30,640
And a caterer.
271
00:11:31,480 –> 00:11:32,000
A kitchen.
272
00:11:33,280 –> 00:11:38,240
So Joe’s got the special order when the state sends
273
00:11:39,440 –> 00:11:42,160
to the association and they’re trying to make changes
274
00:11:42,360 –> 00:11:44,560
That’s what all the red and yellow is.
275
00:11:45,200 –> 00:11:46,000
You want me to tell you?
276
00:11:46,800 –> 00:11:48,360
So on April 15th,
277
00:11:48,360 –> 00:11:49,280
I remember this day.
278
00:11:49,840 –> 00:11:52,320
that order came out and I was on four different phone
279
00:11:52,320 –> 00:11:54,240
conversations trying to figure out first,
280
00:11:54,240 –> 00:11:55,280
is this thing real?
281
00:11:55,440 –> 00:11:56,840
Like 3 different phone calls.
282
00:11:56,840 –> 00:11:58,720
I started calling people in the state that I knew.
283
00:11:58,840 –> 00:11:59,760
I’m like, is this real?
284
00:12:00,160 –> 00:12:00,560
Is this real?
285
00:12:01,000 –> 00:12:03,200
And then we find out it’s real.
286
00:12:03,360 –> 00:12:05,520
And none of us are prepared for this.
287
00:12:06,000 –> 00:12:08,120
And it didn’t take more than a month,
288
00:12:08,240 –> 00:12:09,200
less than a month,
289
00:12:09,240 –> 00:12:10,160
when I realized,
290
00:12:10,160 –> 00:12:12,160
like, this is real.
291
00:12:13,040 –> 00:12:14,240
This is dangerous.
292
00:12:14,240 –> 00:12:17,120
This is nowhere near what we are supposed to be doing.
293
00:12:17,360 –> 00:12:18,160
And at that point,
294
00:12:18,720 –> 00:12:19,240
you can’t,
295
00:12:19,360 –> 00:12:20,960
you can’t ignore that.
296
00:12:20,960 –> 00:12:23,040
You can’t blame this on incompetence.
297
00:12:23,280 –> 00:12:25,440
There’s no way you can put this on incompetence.
298
00:12:25,440 –> 00:12:27,120
Everybody knows it’s deliberate.
299
00:12:27,280 –> 00:12:27,960
And at that point,
300
00:12:27,960 –> 00:12:28,640
that’s when I was like,
301
00:12:28,640 –> 00:12:30,000
I need to go a different direction,
302
00:12:30,400 –> 00:12:30,800
you know?
303
00:12:31,040 –> 00:12:32,320
And so I asked my residents too,
304
00:12:32,400 –> 00:12:33,360
like, what do you guys want to do?
305
00:12:33,360 –> 00:12:35,520
And they didn’t want to be locked down like this.
306
00:12:35,840 –> 00:12:37,200
So that kind of puts it back on me.
307
00:12:37,200 –> 00:12:37,520
I’m like, oh,
308
00:12:37,520 –> 00:12:38,240
shit, you know?
309
00:12:40,320 –> 00:12:42,640
So then that’s when I started going through and really
310
00:12:42,640 –> 00:12:43,400
looking at it.
311
00:12:43,400 –> 00:12:45,600
I mean, it was a disaster.
312
00:12:47,120 –> 00:12:47,920
To put it this way,
313
00:12:47,920 –> 00:12:49,200
I mean, just to break it down,
314
00:12:50,160 –> 00:12:50,960
I’m not a doctor.
315
00:12:50,960 –> 00:12:53,200
I graduated 28th out of 30 in high school.
316
00:12:54,080 –> 00:12:55,600
Barely graduated college.
317
00:12:55,920 –> 00:12:57,880
How does somebody like me figure this out?
318
00:12:58,480 –> 00:12:59,120
You know what I mean?
319
00:12:59,680 –> 00:13:00,560
Zero deaths,
320
00:13:00,880 –> 00:13:01,680
0 move outs,
321
00:13:01,840 –> 00:13:03,920
over 50% of my staff stays.
322
00:13:04,400 –> 00:13:05,760
All of my managers stay.
323
00:13:07,120 –> 00:13:08,720
How did nobody else figure this out?
324
00:13:08,800 –> 00:13:10,120
This excellent.
325
00:13:10,640 –> 00:13:11,440
I got, I got it.
326
00:13:11,520 –> 00:13:12,480
I got to do this.
327
00:13:13,000 –> 00:13:14,240
Because here’s what Joe did,
328
00:13:14,280 –> 00:13:15,720
and then I know you want to,
329
00:13:15,840 –> 00:13:16,720
you’re dying to ask him.
330
00:13:16,960 –> 00:13:18,800
Let me read you from this order real quick,
331
00:13:18,960 –> 00:13:21,640
just so Gaslight and Gretchen.
332
00:13:21,640 –> 00:13:22,400
Oh, that’s a good one.
333
00:13:22,400 –> 00:13:23,200
Somebody write that down.
334
00:13:23,600 –> 00:13:24,880
Oh, Gaslight and Gretch.
335
00:13:25,120 –> 00:13:26,720
Gretchen, stretching the truth.
336
00:13:27,040 –> 00:13:27,760
Know what I’m saying?
337
00:13:27,920 –> 00:13:29,280
Because here’s what your order says,
338
00:13:30,720 –> 00:13:33,440
Along section 2,
339
00:13:34,440 –> 00:13:37,680
a long-term care facility must not prohibit long-term
340
00:13:37,680 –> 00:13:40,640
care would be the bingo apartments,
341
00:13:40,640 –> 00:13:42,080
the everything,
342
00:13:42,580 –> 00:13:43,780
Everything.
343
00:13:44,020 –> 00:13:46,300
A long-term care facility must not prohibit admission
344
00:13:46,300 –> 00:13:49,220
or readmission of a resident based on COVID-19 testing.
345
00:13:50,740 –> 00:13:54,220
B, the long-term care facility of origin must accept
346
00:13:54,220 –> 00:13:55,620
the return of the resident,
347
00:13:55,700 –> 00:13:57,780
provided it can meet the medical needs.
348
00:14:00,460 –> 00:14:01,260
A nursing home,
349
00:14:01,260 –> 00:14:03,140
which is federally
350
00:14:03,460 –> 00:14:05,820
license and they get their money from the feds.
351
00:14:05,820 –> 00:14:06,900
So that’s different from,
352
00:14:07,220 –> 00:14:07,620
you know,
353
00:14:08,100 –> 00:14:11,260
the nice apartments and the dumps in Oak Park where
354
00:14:11,260 –> 00:14:13,140
they lock the fridge on the old people in the weekend.
355
00:14:13,460 –> 00:14:16,660
This one says a nursing home with the census below
356
00:14:16,660 –> 00:14:18,420
80, that means a capacity,
357
00:14:18,540 –> 00:14:19,860
which is almost all of them.
358
00:14:20,660 –> 00:14:22,220
Almost, and bookmark it,
359
00:14:22,220 –> 00:14:23,780
because that’s what I want to ask you what you did.
360
00:14:24,180 –> 00:14:27,860
They must create a unit dedicated to the care of COVID-19
361
00:14:27,860 –> 00:14:29,940
affected residents and must,
362
00:14:32,980 –> 00:14:34,620
provide appropriate PPE,
363
00:14:34,620 –> 00:14:35,780
which they didn’t,
364
00:14:38,500 –> 00:14:40,980
If A long-term care facility where the resident resided
365
00:14:40,980 –> 00:14:43,180
prior to the onset of one or more of the principal
366
00:14:43,180 –> 00:14:45,940
symptoms of COVID has a dedicated unit,
367
00:14:46,260 –> 00:14:47,700
they got to go back to it.
368
00:14:47,940 –> 00:14:49,860
If they don’t have a dedicated unit,
369
00:14:51,380 –> 00:14:53,300
they will go to a regional hub,
370
00:14:53,460 –> 00:14:55,460
provided there is available bed capacity,
371
00:14:55,580 –> 00:14:56,820
and that’s where Jen worked.
372
00:14:57,300 –> 00:14:59,140
So, when Joe,
373
00:14:59,500 –> 00:15:00,580
when you saw this,
374
00:15:01,020 –> 00:15:06,020
what trick did you play not to have to accept infected
375
00:15:06,260 –> 00:15:07,620
I mean, that was the start of it.
376
00:15:07,620 –> 00:15:09,460
But I dropped six of my beds,
377
00:15:09,460 –> 00:15:10,820
took them completely offline.
378
00:15:11,060 –> 00:15:13,940
So it just bumped us over 80 just to protect us.
379
00:15:14,340 –> 00:15:15,820
You know, see what he did there?
380
00:15:15,820 –> 00:15:16,900
All of my policies,
381
00:15:17,220 –> 00:15:17,700
think about this.
382
00:15:18,100 –> 00:15:19,860
Did you call maintenance and go like take the beds
383
00:15:19,860 –> 00:15:20,140
out of here?
384
00:15:20,180 –> 00:15:21,980
No, business manager and the owner.
385
00:15:21,980 –> 00:15:22,500
I’m like, hey,
386
00:15:22,500 –> 00:15:24,660
we got to take these things off so we get over 80
387
00:15:24,660 –> 00:15:25,620
so I don’t have to take these.
388
00:15:26,140 –> 00:15:26,820
I’m telling you this.
389
00:15:27,300 –> 00:15:29,380
I was two years ahead of the CDC.
390
00:15:29,860 –> 00:15:30,500
Two years.
391
00:15:30,900 –> 00:15:31,940
And my policies,
392
00:15:32,100 –> 00:15:33,300
I was made this very known,
393
00:15:33,300 –> 00:15:36,180
my policies were set up defensively.
394
00:15:36,580 –> 00:15:38,900
We took proactive defensive tactics,
395
00:15:38,980 –> 00:15:40,900
measures to protect ourselves from the state.
396
00:15:41,140 –> 00:15:43,300
And that’s what scientists were saying.
397
00:15:43,380 –> 00:15:44,820
That’s like what we should do.
398
00:15:44,980 –> 00:15:49,140
We should maximize the safety of the people that you
399
00:15:49,620 –> 00:15:50,580
look after,
400
00:15:52,420 –> 00:15:53,940
And we did the exact opposite.
401
00:15:54,500 –> 00:15:54,940
Well, I just,
402
00:15:54,940 –> 00:15:57,300
I don’t want to just go back just a little bit because
403
00:15:57,300 –> 00:15:57,940
this isn’t lost.
404
00:15:57,940 –> 00:15:58,420
You were saying,
405
00:15:58,420 –> 00:15:58,620
you know,
406
00:15:58,620 –> 00:15:59,620
you didn’t do well in high school,
407
00:15:59,620 –> 00:16:00,580
you didn’t do well in college.
408
00:16:00,980 –> 00:16:03,700
But what that allowed you to do was learn how to think
409
00:16:03,860 –> 00:16:05,380
and learn how to deal with people.
410
00:16:05,660 –> 00:16:07,300
While Charlie’s reading all that stuff,
411
00:16:07,300 –> 00:16:08,740
that’s all like hyper,
412
00:16:08,820 –> 00:16:12,020
just legalese things that people are doing to check
413
00:16:12,020 –> 00:16:14,340
boxes that make no sense.
414
00:16:14,340 –> 00:16:17,700
And so there’s no room or the opportunity for people
415
00:16:17,700 –> 00:16:19,620
to apply logic,
416
00:16:21,060 –> 00:16:23,700
and the reality of dealing with folks.
417
00:16:23,860 –> 00:16:25,140
They don’t know anything about it.
418
00:16:25,140 –> 00:16:26,620
And therein lies a difference.
419
00:16:26,620 –> 00:16:27,820
So I just,
420
00:16:27,820 –> 00:16:29,060
I know you said that some time ago,
421
00:16:29,060 –> 00:16:30,260
but I wanted to go back to that.
422
00:16:30,420 –> 00:16:31,620
That’s not to be trivialized,
423
00:16:31,620 –> 00:16:32,340
y’all, at all.
424
00:16:32,580 –> 00:16:34,100
Karen, I’m going to say this.
425
00:16:34,420 –> 00:16:36,500
You know, we talk about the science and the data.
426
00:16:36,900 –> 00:16:37,620
It was all there.
427
00:16:38,020 –> 00:16:40,380
But the one thing we recognize right off the bat,
428
00:16:40,820 –> 00:16:43,180
if we start bringing family members back in within
429
00:16:43,180 –> 00:16:44,740
a week, like they’re declining.
430
00:16:44,900 –> 00:16:46,020
The isolation,
431
00:16:46,020 –> 00:16:46,660
the loneliness,
432
00:16:46,700 –> 00:16:47,380
all of that.
433
00:16:47,540 –> 00:16:48,980
So we haven’t even talked about that,
434
00:16:48,980 –> 00:16:50,820
but that was the number one killer.
435
00:16:51,780 –> 00:16:52,220
Let me add,
436
00:16:52,340 –> 00:16:54,500
hey Jen, because you watched all the death.
437
00:16:55,700 –> 00:16:56,220
Real quick,
438
00:16:56,220 –> 00:16:57,300
because your phone stinks.
439
00:16:57,300 –> 00:16:58,820
I’m going to buy you a phone.
440
00:16:59,460 –> 00:17:02,660
I’m going to buy you a phone for her 28th birthday.
441
00:17:05,180 –> 00:17:09,340
What does it look like when somebody’s dying of COVID?
442
00:17:09,740 –> 00:17:11,380
Are they drowning on their own fluids?
443
00:17:11,380 –> 00:17:13,780
What does it look like quickly?
444
00:17:15,620 –> 00:17:17,540
They come in sick and they get very,
445
00:17:17,700 –> 00:17:19,060
very sick very quick.
446
00:17:19,140 –> 00:17:20,260
So it just…
447
00:17:21,340 –> 00:17:21,980
It looks like,
448
00:17:21,980 –> 00:17:23,060
well, I do hospice now,
449
00:17:23,060 –> 00:17:24,940
so I know what dying people look like,
450
00:17:25,380 –> 00:17:27,780
but it happens within a matter of days.
451
00:17:28,140 –> 00:17:29,220
What does it look like?
452
00:17:29,220 –> 00:17:31,940
Is it like pneumonia and they can’t breathe?
453
00:17:32,260 –> 00:17:33,940
Is it fever?
454
00:17:34,060 –> 00:17:34,740
What is it?
455
00:17:35,620 –> 00:17:37,300
Yeah, like pneumonia.
456
00:17:38,020 –> 00:17:42,180
They can’t breathe as much oxygen as we put on them.
457
00:17:42,180 –> 00:17:43,380
But you know,
458
00:17:43,380 –> 00:17:45,220
if they were in the hospital for a long time,
459
00:17:45,220 –> 00:17:49,460
like your other participant was saying,
460
00:17:50,820 –> 00:17:52,980
They’re dying when they come in the door.
461
00:17:54,100 –> 00:17:55,220
I just want to know,
462
00:17:55,620 –> 00:17:56,580
like I’m thinking,
463
00:17:56,820 –> 00:17:57,780
I got onto this.
464
00:17:57,860 –> 00:18:02,260
The reason I keep this death certificate of clearance
465
00:18:02,260 –> 00:18:04,900
is when I know a couple of ex-cops,
466
00:18:05,260 –> 00:18:07,380
And the law says if you’re a ward of the state,
467
00:18:07,380 –> 00:18:09,220
you got to be looked on every quarter.
468
00:18:09,540 –> 00:18:10,500
And that’s what they did.
469
00:18:10,580 –> 00:18:13,700
They looked after these old people and it was early.
470
00:18:14,140 –> 00:18:14,740
And they’re like,
471
00:18:14,980 –> 00:18:18,020
dude, half of our clients are gone.
472
00:18:18,780 –> 00:18:19,940
and a no record of them.
473
00:18:19,940 –> 00:18:22,660
And then they started doing data points.
474
00:18:22,740 –> 00:18:24,860
You know, they could get into the state system and
475
00:18:24,860 –> 00:18:26,340
they put a spreadsheet together.
476
00:18:26,740 –> 00:18:27,460
And this man,
477
00:18:27,460 –> 00:18:28,260
Clarence,
478
00:18:28,780 –> 00:18:30,340
a Korea veteran,
479
00:18:31,140 –> 00:18:32,620
was bounced around,
480
00:18:33,540 –> 00:18:35,220
I can only imagine this guy.
481
00:18:36,820 –> 00:18:38,020
Is that kind of like what it is?
482
00:18:39,540 –> 00:18:40,660
Is that what it sounds like?
483
00:18:44,300 –> 00:18:45,220
What we did.
484
00:18:45,460 –> 00:18:48,020
I’m sitting there with one of my seniors,
485
00:18:48,300 –> 00:18:49,300
and the guy says to me,
486
00:18:49,300 –> 00:18:50,020
like, after,
487
00:18:50,020 –> 00:18:50,180
you know,
488
00:18:50,180 –> 00:18:51,060
he’s been locked down,
489
00:18:51,060 –> 00:18:51,740
all of this stuff,
490
00:18:51,980 –> 00:18:52,380
and he’s like,
491
00:18:52,380 –> 00:18:54,020
I feel like I’m on the front lines again.
492
00:18:54,180 –> 00:18:54,500
And I’m like,
493
00:18:55,700 –> 00:18:56,340
you are, Bob.
494
00:18:57,780 –> 00:18:58,940
What we did,
495
00:18:59,020 –> 00:18:59,860
it’s an excuse.
496
00:18:59,980 –> 00:19:00,380
Think of that.
497
00:19:01,700 –> 00:19:03,260
And you throw them in the hand.
498
00:19:03,260 –> 00:19:04,020
It’s like strangling.
499
00:19:04,020 –> 00:19:07,620
I mean, allowing somebody to strangle themselves or
500
00:19:07,940 –> 00:19:09,140
watch them being strangled.
501
00:19:09,420 –> 00:19:10,340
And if I could,
502
00:19:10,580 –> 00:19:12,580
just because we’re not going to talk about it,
503
00:19:14,740 –> 00:19:16,420
I know so many people involved in this,
504
00:19:16,420 –> 00:19:16,980
you know what I mean?
505
00:19:16,980 –> 00:19:18,580
Like people that could,
506
00:19:18,900 –> 00:19:19,860
people that spoke,
507
00:19:19,860 –> 00:19:21,340
you’re the fuck out of here,
508
00:19:21,620 –> 00:19:22,580
There’s Joe right there.
509
00:19:23,140 –> 00:19:24,180
The good people.
510
00:19:25,220 –> 00:19:26,340
The people that helped build,
511
00:19:26,340 –> 00:19:27,060
organize,
512
00:19:27,060 –> 00:19:28,820
and operate the field hospital,
513
00:19:28,820 –> 00:19:29,940
TCF, Jen.
514
00:19:32,500 –> 00:19:35,740
It worked because they had 42 people in there,
515
00:19:36,180 –> 00:19:37,100
It actually worked.
516
00:19:38,860 –> 00:19:41,140
oxygen tanks as big as a semi on top of it.
517
00:19:41,140 –> 00:19:44,740
They had oxygen lines plumbed down into the floor.
518
00:19:44,900 –> 00:19:47,620
They had, I’m just going to call it the hyperbaric
519
00:19:47,700 –> 00:19:49,140
chamber where you walk in,
520
00:19:50,100 –> 00:19:52,340
sucks all the air out and you put your stuff on and
521
00:19:52,340 –> 00:19:54,500
then that nut next door opens and right,
522
00:19:54,500 –> 00:19:56,660
it’s a clean environment.
523
00:20:00,100 –> 00:20:01,220
We didn’t use that.
524
00:20:01,620 –> 00:20:04,100
And ultimately I found out the reason we didn’t use
525
00:20:04,100 –> 00:20:08,180
it is because in the nursing home specifically,
526
00:20:09,940 –> 00:20:10,980
The feds pay for that.
527
00:20:11,340 –> 00:20:12,580
And the state was wondering,
528
00:20:12,580 –> 00:20:13,180
well, you know,
529
00:20:13,220 –> 00:20:15,740
is the are the feds going to pay if they’re not being
530
00:20:15,740 –> 00:20:18,020
cared for in the nursing home?
531
00:20:18,500 –> 00:20:19,660
What if they go to the hospital?
532
00:20:19,660 –> 00:20:20,820
Are we going to get reimbursed?
533
00:20:21,220 –> 00:20:24,740
So they shut it down with with this fire hose of money
534
00:20:25,620 –> 00:20:27,020
all and they shut it down.
535
00:20:27,860 –> 00:20:28,940
You want to hear something gross?
536
00:20:30,180 –> 00:20:32,260
Nursing homes represent 8%
537
00:20:32,500 –> 00:20:35,380
of the communities out there that long-term care.
538
00:20:36,900 –> 00:20:38,340
92% of them got nothing.
539
00:20:38,740 –> 00:20:39,780
Not not gloves,
540
00:20:39,860 –> 00:20:41,140
gowns, a dollar,
541
00:20:41,300 –> 00:20:43,460
anything for two years.
542
00:20:43,700 –> 00:20:44,500
And when we did,
543
00:20:44,660 –> 00:20:47,380
it equated to 96 cents per person per day.
544
00:20:48,340 –> 00:20:51,540
Tampon tax relief was prioritized over seniors.
545
00:20:53,300 –> 00:20:53,940
Let me ask,
546
00:20:53,940 –> 00:20:57,140
because that’s now Jen worked in that 8%.
547
00:20:57,140 –> 00:20:59,700
Jen, did you did you have the appropriate gear?
548
00:21:04,940 –> 00:21:06,260
This whole thing was a lie.
549
00:21:06,820 –> 00:21:07,420
But I don’t know.
550
00:21:07,420 –> 00:21:08,660
It’s like common sense.
551
00:21:08,660 –> 00:21:09,180
Go ahead, Jen.
552
00:21:09,180 –> 00:21:09,620
I’m sorry.
553
00:21:10,500 –> 00:21:10,900
Oh, that’s okay.
554
00:21:11,380 –> 00:21:12,540
I don’t know if you remember,
555
00:21:12,540 –> 00:21:16,980
but I got in big trouble because we were storing N95
556
00:21:16,980 –> 00:21:21,460
masks and my nurses were very upset that they couldn’t
557
00:21:21,460 –> 00:21:24,660
wear one because corporations were waiting for it
558
00:21:24,660 –> 00:21:25,180
to get worse.
559
00:21:25,180 –> 00:21:25,780
So they said,
560
00:21:25,780 –> 00:21:27,220
no, you can’t use those yet.
561
00:21:27,980 –> 00:21:28,340
Even though.
562
00:21:29,980 –> 00:21:31,140
All these stories are true.
563
00:21:31,700 –> 00:21:34,180
Now, I’m just going to say it because her phone stinks,
564
00:21:34,180 –> 00:21:36,820
but Jen, being the director of nursing,
565
00:21:38,340 –> 00:21:40,340
had to tabulate herself.
566
00:21:40,340 –> 00:21:41,620
They didn’t give her any software,
567
00:21:41,860 –> 00:21:42,260
you know,
568
00:21:42,420 –> 00:21:43,740
cases and report them,
569
00:21:43,740 –> 00:21:45,060
deaths and report them.
570
00:21:46,420 –> 00:21:49,060
And the deaths that Jen reported and remembers and
571
00:21:49,060 –> 00:21:49,860
told to me,
572
00:21:50,580 –> 00:21:51,380
she just worked there,
573
00:21:51,420 –> 00:21:52,420
what, to May?
574
00:21:55,740 –> 00:21:58,740
The number of deaths that she had tabulated were twice
575
00:21:58,740 –> 00:22:02,660
as many as the state to this day reports for the whole
576
00:22:02,660 –> 00:22:05,220
COVID three years in that facility.
577
00:22:06,900 –> 00:22:07,740
In one month,
578
00:22:07,740 –> 00:22:11,220
she recorded double the amount of deaths that the
579
00:22:11,220 –> 00:22:15,380
corporation in the state will cop to for three fucking
580
00:22:16,740 –> 00:22:18,540
We got instructed not to report deaths.
581
00:22:19,740 –> 00:22:20,260
Tell me, bro.
582
00:22:20,860 –> 00:22:22,260
Dude, it’s six months into it.
583
00:22:22,260 –> 00:22:24,980
Let me let me remind everybody who this is Joe LeBlanc,
584
00:22:24,980 –> 00:22:28,500
who’s the CEO and president of Archangel Senior Management.
585
00:22:28,500 –> 00:22:29,460
It’s a new thing.
586
00:22:29,460 –> 00:22:31,940
I want to get into that where we go to the future.
587
00:22:32,340 –> 00:22:36,900
But Joe was also on the board of directors of basically
588
00:22:37,380 –> 00:22:40,660
the organ end of end of life care associations,
589
00:22:40,660 –> 00:22:41,700
the nursing homes,
590
00:22:41,700 –> 00:22:42,660
the assisted living,
591
00:22:42,660 –> 00:22:43,740
the adult foster cares.
592
00:22:44,580 –> 00:22:45,380
They instructed you.
593
00:22:45,780 –> 00:22:48,100
They instructed us to stop reporting deaths.
594
00:22:49,060 –> 00:22:49,860
you know, six months,
595
00:22:49,860 –> 00:22:50,740
eight months into it.
596
00:22:50,980 –> 00:22:51,540
They said,
597
00:22:51,780 –> 00:22:55,620
if you are an adult foster care with 12 beds or under,
598
00:22:56,020 –> 00:22:56,900
stop reporting.
599
00:22:57,060 –> 00:22:58,740
That’s like 3500,
600
00:22:59,380 –> 00:22:59,780
the state.
601
00:23:00,140 –> 00:23:01,460
I just wanted to make that clear.
602
00:23:01,660 –> 00:23:03,220
Yeah, the state instructed us.
603
00:23:03,220 –> 00:23:08,820
It’s 3,500 of the 6,000 or so senior livings,
604
00:23:08,900 –> 00:23:10,180
like stop reporting us.
605
00:23:10,420 –> 00:23:13,140
And then they said anybody that they defined as assisted
606
00:23:13,140 –> 00:23:14,740
living, so now it’s all the big ones,
607
00:23:14,740 –> 00:23:15,820
like the really big ones.
608
00:23:15,820 –> 00:23:16,300
The ones you ran.
609
00:23:16,300 –> 00:23:17,060
The ones I ran.
610
00:23:18,180 –> 00:23:19,460
Stop reporting.
611
00:23:20,820 –> 00:23:21,700
So like 40,
612
00:23:21,860 –> 00:23:24,100
these are 75,
613
00:23:24,740 –> 00:23:30,660
80, 92% of all facilities and 40%
614
00:23:30,660 –> 00:23:32,460
of the people weren’t covered under the,
615
00:23:32,860 –> 00:23:36,180
here’s the next order after today’s anniversary.
616
00:23:36,420 –> 00:23:37,460
She fixes it.
617
00:23:38,300 –> 00:23:40,500
Cuomo gets done with it because he got caught in like
618
00:23:40,500 –> 00:23:41,900
May 3rd, right?
619
00:23:42,420 –> 00:23:45,460
And then this thing on like May 21st,
620
00:23:45,460 –> 00:23:45,740
it’s like,
621
00:23:45,740 –> 00:23:46,980
no, we’re doubling down.
622
00:23:47,220 –> 00:23:48,580
And here it is.
623
00:23:48,980 –> 00:23:50,020
Everybody,
624
00:23:50,340 –> 00:23:51,300
everybody,
625
00:23:51,300 –> 00:23:52,740
every single one of these facilities,
626
00:23:52,900 –> 00:23:54,060
report your death data,
627
00:23:54,060 –> 00:23:55,460
report your COVID data,
628
00:23:55,700 –> 00:23:56,500
everybody.
629
00:23:58,660 –> 00:23:59,460
They didn’t.
630
00:24:00,300 –> 00:24:02,180
And then in October,
631
00:24:02,180 –> 00:24:03,060
like, okay,
632
00:24:03,100 –> 00:24:04,500
we’re only going to collect some,
633
00:24:04,580 –> 00:24:04,740
you know,
634
00:24:04,740 –> 00:24:05,780
we got caught out.
635
00:24:05,940 –> 00:24:08,420
The Trump administration’s opening up an investigation.
636
00:24:09,460 –> 00:24:10,980
And here’s from the health department and me,
637
00:24:11,540 –> 00:24:13,260
anybody that did report,
638
00:24:13,540 –> 00:24:14,140
eh, you know,
639
00:24:14,140 –> 00:24:15,220
we just threw the data away.
640
00:24:15,860 –> 00:24:18,900
So we didn’t write down Clarence’s name.
641
00:24:19,940 –> 00:24:22,500
We didn’t write down Clarence’s residence as you were
642
00:24:22,500 –> 00:24:25,100
supposed to do or his cause of death.
643
00:24:25,100 –> 00:24:27,620
So Clarence died at the hospital,
644
00:24:28,020 –> 00:24:29,220
but Clarence caught it.
645
00:24:30,420 –> 00:24:31,220
at the nursing home.
646
00:24:31,460 –> 00:24:32,420
Supposed to say it.
647
00:24:32,580 –> 00:24:35,700
Clarence says here died of natural causes.
648
00:24:36,420 –> 00:24:37,940
So Clarence doesn’t get counted.
649
00:24:38,020 –> 00:24:39,940
But if you look up in the details,
650
00:24:40,100 –> 00:24:43,380
he died of hypoxic respiratory failure,
651
00:24:43,620 –> 00:24:44,420
which is what,
652
00:24:46,740 –> 00:24:48,740
Which is his cause of death.
653
00:24:49,060 –> 00:24:49,940
It’s COVID.
654
00:24:51,540 –> 00:24:52,420
It’s COVID.
655
00:24:52,420 –> 00:24:53,140
And it’s not natural.
656
00:24:53,940 –> 00:24:54,980
Well, it is natural.
657
00:24:55,540 –> 00:24:56,500
It was made in the lab.
658
00:24:56,500 –> 00:24:57,380
We can say that now,
659
00:24:57,620 –> 00:24:59,060
I meant in terms of a cause of,
660
00:24:59,300 –> 00:24:59,980
in my opinion,
661
00:25:00,020 –> 00:25:01,500
in terms of a cause of death,
662
00:25:01,500 –> 00:25:02,580
but the underlying.
663
00:25:02,780 –> 00:25:03,460
Is it natural.
664
00:25:03,940 –> 00:25:06,260
You know, like you’ve died of natural causes and it’s
665
00:25:06,260 –> 00:25:06,980
like your,
666
00:25:07,060 –> 00:25:07,380
you know,
667
00:25:07,540 –> 00:25:08,500
your whatever,
668
00:25:08,500 –> 00:25:10,260
your stroke or,
669
00:25:10,260 –> 00:25:10,580
you know,
670
00:25:11,540 –> 00:25:12,260
it’s like that.
671
00:25:12,580 –> 00:25:14,580
You know, can I say something too?
672
00:25:17,780 –> 00:25:19,220
One of the saddest things.
673
00:25:19,660 –> 00:25:20,420
came later.
674
00:25:20,700 –> 00:25:21,020
As you know,
675
00:25:21,020 –> 00:25:26,100
Ringler did the report and they reported like 5,500
676
00:25:26,100 –> 00:25:27,540
deaths and Ringler said no,
677
00:25:27,540 –> 00:25:28,860
there’s closer to 8,000.
678
00:25:29,380 –> 00:25:31,500
And I read this article and for me,
679
00:25:31,500 –> 00:25:32,260
it’s not political.
680
00:25:32,300 –> 00:25:33,620
I’m like, they’re people.
681
00:25:33,820 –> 00:25:35,460
They’re people.
682
00:25:35,780 –> 00:25:37,860
And it said the difference.
683
00:25:38,020 –> 00:25:40,220
I read this report and it was from Dana Nessel and
684
00:25:40,220 –> 00:25:44,380
it said the difference between the 2,500 deaths and
685
00:25:44,380 –> 00:25:46,100
the report was largely meaningless.
686
00:25:46,420 –> 00:25:48,980
Well, I got the report right here as well.
687
00:25:49,580 –> 00:25:52,340
And just to hear that,
688
00:25:52,380 –> 00:25:53,180
like, you know,
689
00:25:53,220 –> 00:25:54,820
I didn’t fall into that category,
690
00:25:55,140 –> 00:25:55,780
or, you know,
691
00:25:55,780 –> 00:25:58,180
these adult foster cares didn’t fall into that category,
692
00:25:58,180 –> 00:25:59,060
and to hear,
693
00:25:59,180 –> 00:26:00,180
like, you’re meaningless?
694
00:26:00,180 –> 00:26:02,940
Well, what we’re saying is they changed the…
695
00:26:03,980 –> 00:26:05,580
the definition of what they want to count it right
696
00:26:05,580 –> 00:26:06,260
in the middle of this.
697
00:26:06,340 –> 00:26:08,900
Now, New York reported all of them.
698
00:26:09,060 –> 00:26:10,860
California reported all of them.
699
00:26:10,980 –> 00:26:12,500
We didn’t report all of them,
700
00:26:12,500 –> 00:26:15,780
and we still rank highest in terms of mortality rates
701
00:26:15,860 –> 00:26:16,820
in senior living.
702
00:26:16,980 –> 00:26:18,260
Nestle wouldn’t look at it.
703
00:26:18,340 –> 00:26:18,900
She wrote,
704
00:26:18,900 –> 00:26:24,420
quote, this discrepancy with what the auditor found
705
00:26:24,420 –> 00:26:27,140
and what the state was reporting is she said,
706
00:26:27,540 –> 00:26:30,180
this difference is irrelevant because it relies on
707
00:26:30,180 –> 00:26:31,940
apples and oranges comparison.
708
00:26:33,420 –> 00:26:34,420
These are human beings,
709
00:26:34,420 –> 00:26:35,460
apples and oranges.
710
00:26:35,580 –> 00:26:38,300
And Joe, I know you just didn’t study hard,
711
00:26:38,980 –> 00:26:39,900
28th out of 30,
712
00:26:39,900 –> 00:26:42,460
because he just said it almost verbatim,
713
00:26:42,460 –> 00:26:46,500
which is comparing the counts is largely meaningless
714
00:26:46,740 –> 00:26:49,380
because they counted deaths differently.
715
00:26:49,740 –> 00:26:51,060
That’s the fucking point.
716
00:26:52,180 –> 00:26:52,540
I mean, like,
717
00:26:52,540 –> 00:26:53,540
what were we doing then?
718
00:26:53,860 –> 00:26:56,020
Like, we’re protecting the meaningless deaths?
719
00:26:56,100 –> 00:26:59,300
Like, who is the meaningless ones?
720
00:26:59,980 –> 00:27:01,060
But the bigger picture is,
721
00:27:01,060 –> 00:27:03,620
is that people should realize that nobody,
722
00:27:03,940 –> 00:27:04,820
people don’t care.
723
00:27:05,060 –> 00:27:08,500
I mean, if it doesn’t make dollars and it’s not profitable
724
00:27:08,500 –> 00:27:10,180
for the bigger picture,
725
00:27:10,500 –> 00:27:11,860
politicians don’t care,
726
00:27:11,860 –> 00:27:12,500
corporations,
727
00:27:12,580 –> 00:27:13,940
you’re not cared about.
728
00:27:14,100 –> 00:27:14,740
Well, that’s,
729
00:27:15,300 –> 00:27:16,100
Joe, Joe,
730
00:27:16,180 –> 00:27:17,220
nothing got fixed.
731
00:27:18,020 –> 00:27:18,660
Nothing, right?
732
00:27:18,820 –> 00:27:21,620
So what if we have a COVID-26?
733
00:27:22,913 –> 00:27:24,153
What would be different?
734
00:27:25,513 –> 00:27:26,353
I have no idea.
735
00:27:26,953 –> 00:27:28,633
You can’t come up with a plan now,
736
00:27:28,953 –> 00:27:30,553
because if you came up with a plan now,
737
00:27:30,793 –> 00:27:33,033
you’d be able to look back and see what we did back
738
00:27:33,033 –> 00:27:33,673
then and say,
739
00:27:34,233 –> 00:27:34,953
what the hell?
740
00:27:35,433 –> 00:27:36,033
Yeah, where’s the data?
741
00:27:36,033 –> 00:27:37,073
We didn’t have the data.
742
00:27:37,073 –> 00:27:38,673
That’s why I say it’s not incompetence.
743
00:27:39,993 –> 00:27:42,473
So that’s so interesting.
744
00:27:42,633 –> 00:27:43,353
So first of all,
745
00:27:43,353 –> 00:27:48,713
I just wanted for people to remember Clarence and
746
00:27:49,393 –> 00:27:53,353
I want people to remember Bridget and Amy and Lester
747
00:27:53,513 –> 00:27:54,473
and Brenda.
748
00:27:56,153 –> 00:27:57,993
Cardiorespiratory failure,
749
00:27:57,993 –> 00:27:59,233
electrolyte imbalance,
750
00:27:59,233 –> 00:28:00,873
sepsis, COVID-19,
751
00:28:00,873 –> 00:28:02,153
recurrent infections,
752
00:28:02,313 –> 00:28:03,993
severe dementia,
753
00:28:04,473 –> 00:28:05,193
cause of death,
754
00:28:06,793 –> 00:28:07,673
She was never,
755
00:28:07,753 –> 00:28:08,793
she was in a nursing home.
756
00:28:08,793 –> 00:28:11,193
It was, she was never accounted for.
757
00:28:11,353 –> 00:28:14,633
And if you just imagine what Jen saw,
758
00:28:15,353 –> 00:28:16,633
And what, you know,
759
00:28:17,193 –> 00:28:19,913
the people who actually had to go out there and pick
760
00:28:19,913 –> 00:28:20,633
them up and stuff,
761
00:28:20,833 –> 00:28:22,233
what real life was like.
762
00:28:22,953 –> 00:28:24,073
These are real victims.
763
00:28:24,073 –> 00:28:24,953
These are real people.
764
00:28:24,953 –> 00:28:25,833
They have families.
765
00:28:26,193 –> 00:28:26,793
And it’s like,
766
00:28:27,193 –> 00:28:28,073
Jen and I saw it.
767
00:28:28,073 –> 00:28:29,273
We were the ones that were there.
768
00:28:29,273 –> 00:28:31,673
Imagine being a family member and you have no idea.
769
00:28:31,753 –> 00:28:32,873
You have no questions.
770
00:28:33,033 –> 00:28:34,233
You don’t have closure.
771
00:28:34,753 –> 00:28:37,593
And it, like Leah made a great point yesterday.
772
00:28:37,833 –> 00:28:38,153
It was like,
773
00:28:38,153 –> 00:28:40,713
imagine the Oklahoma bombing went off and nobody,
774
00:28:40,713 –> 00:28:42,153
there’s no investigations.
775
00:28:42,313 –> 00:28:43,513
Nobody looks at this.
776
00:28:43,513 –> 00:28:44,633
It’s like there’s that many.
777
00:28:45,953 –> 00:28:47,833
And that’s a good,
778
00:28:47,833 –> 00:28:50,153
it’s a good example because look,
779
00:28:51,193 –> 00:28:54,873
we had the Oklahoma City terrorist attack and we didn’t
780
00:28:54,873 –> 00:28:55,313
do anything.
781
00:28:56,233 –> 00:29:00,313
And then we had the first attack on the World Trade
782
00:29:00,313 –> 00:29:02,713
Center and we didn’t do much anything.
783
00:29:03,273 –> 00:29:04,513
And then the big one came,
784
00:29:04,513 –> 00:29:07,033
9-11 came and then we did something.
785
00:29:07,513 –> 00:29:10,953
So before the 9-11 comes again,
786
00:29:11,353 –> 00:29:12,393
we got to do something.
787
00:29:12,713 –> 00:29:14,953
And I’m not seeing it because I know
788
00:29:15,273 –> 00:29:16,553
especially nursing homes.
789
00:29:16,953 –> 00:29:19,273
And Jen, tell me if I’m wrong.
790
00:29:21,033 –> 00:29:23,033
Because of federal requirements,
791
00:29:24,073 –> 00:29:25,993
it’s, you have to have a roommate,
792
00:29:27,913 –> 00:29:28,513
Is that correct,
793
00:29:31,673 –> 00:29:32,953
In A semi-private room,
794
00:29:33,353 –> 00:29:34,433
yeah, you’re gonna have a roommate.
795
00:29:34,713 –> 00:29:36,073
Yeah, okay.
796
00:29:36,473 –> 00:29:38,073
That’s 30 grand a room.
797
00:29:38,793 –> 00:29:41,593
Okay, there’s 1.5 million people in nursing homes,
798
00:29:43,313 –> 00:29:49,673
That’s $170 billion to house 1.5 million people.
799
00:29:49,673 –> 00:29:51,353
And it’s not a good housing system,
800
00:29:51,353 –> 00:29:51,913
is it, Jen?
801
00:29:53,993 –> 00:29:56,353
It’s described just quickly a little bit because your
802
00:29:56,353 –> 00:29:56,913
phone cleared up.
803
00:29:56,913 –> 00:29:57,553
It’s kind of nice.
804
00:30:00,593 –> 00:30:02,313
Living in a nursing home,
805
00:30:03,233 –> 00:30:04,833
it’s very difficult,
806
00:30:04,833 –> 00:30:09,073
especially now because COVID really brought the staffing
807
00:30:09,073 –> 00:30:11,593
down and made people turn away.
808
00:30:12,073 –> 00:30:14,073
And so everybody’s waiting,
809
00:30:14,313 –> 00:30:14,513
you know,
810
00:30:14,873 –> 00:30:16,393
for something in a nursing home,
811
00:30:16,393 –> 00:30:17,673
whether to go to the bathroom,
812
00:30:17,993 –> 00:30:20,233
a meal, anything.
813
00:30:20,473 –> 00:30:22,633
So there’s just not any staff anymore.
814
00:30:22,753 –> 00:30:26,433
And if you talk about having another pandemic in the
815
00:30:26,433 –> 00:30:27,593
next couple of years,
816
00:30:28,233 –> 00:30:30,913
with this fresh on our minds from five years ago,
817
00:30:31,393 –> 00:30:32,473
I don’t know who’s going to do it.
818
00:30:33,193 –> 00:30:34,313
And we didn’t do anything.
819
00:30:34,473 –> 00:30:37,233
Like we spent all this money for nursing homes.
820
00:30:37,233 –> 00:30:38,713
We didn’t put HVACs like,
821
00:30:39,033 –> 00:30:39,353
you know,
822
00:30:39,833 –> 00:30:40,553
we didn’t do any of that,
823
00:30:41,633 –> 00:30:45,593
Now, I had friends that were nurses that were wanting
824
00:30:45,593 –> 00:30:51,193
to go down and work and where the COVID thing was
825
00:30:51,193 –> 00:30:52,953
going up downtown.
826
00:30:53,353 –> 00:30:54,313
And they would,
827
00:30:54,673 –> 00:30:55,873
like, if it were something like that,
828
00:30:55,913 –> 00:30:59,113
you would get nurses back to take care of those patients.
829
00:30:59,113 –> 00:31:00,513
But if they do it again like that,
830
00:31:00,513 –> 00:31:02,313
nobody’s going to take care of these patients because
831
00:31:02,433 –> 00:31:03,873
it’s impossible.
832
00:31:04,393 –> 00:31:07,753
Now, I want an investigation into all of this.
833
00:31:08,553 –> 00:31:10,313
I do, because I have,
834
00:31:11,073 –> 00:31:12,913
I talked to you quite a lot about this,
835
00:31:12,953 –> 00:31:14,073
Joe, and you know,
836
00:31:14,073 –> 00:31:15,033
since COVID,
837
00:31:15,313 –> 00:31:17,673
what you do is interesting to me,
838
00:31:17,673 –> 00:31:19,913
and I want to get to what you’re doing in a moment.
839
00:31:22,633 –> 00:31:27,113
But I know that there were conversations within the
840
00:31:27,113 –> 00:31:28,073
Whitmer administration,
841
00:31:28,073 –> 00:31:29,513
because I have emails,
842
00:31:29,513 –> 00:31:30,473
but it goes like this.
843
00:31:30,713 –> 00:31:31,753
I have one e-mail,
844
00:31:32,073 –> 00:31:33,273
then there’s a dark space.
845
00:31:33,593 –> 00:31:34,633
I don’t have that e-mail.
846
00:31:34,833 –> 00:31:36,033
And then I got this e-mail,
847
00:31:36,033 –> 00:31:37,273
and then there’s a dark space,
848
00:31:37,433 –> 00:31:38,713
They don’t supply it all.
849
00:31:38,873 –> 00:31:40,633
But there were conversations
850
00:31:41,153 –> 00:31:43,193
When Cuomo got started getting burned,
851
00:31:43,913 –> 00:31:46,233
Whitmer’s people were freaking out and I got the e-mail,
852
00:31:46,233 –> 00:31:46,793
well they said,
853
00:31:46,793 –> 00:31:46,993
you know,
854
00:31:46,993 –> 00:31:49,033
it’s of high interest to the governor’s office.
855
00:31:49,153 –> 00:31:50,473
What’s the real count?
856
00:31:51,593 –> 00:31:52,953
Is this helping or hurting?
857
00:31:53,113 –> 00:31:56,153
And they decided to cover the rise,
858
00:31:57,273 –> 00:31:58,553
mislead us,
859
00:32:00,393 –> 00:32:01,473
keep redoing the data.
860
00:32:01,473 –> 00:32:04,073
Remember that asterisk that showed up in October?
861
00:32:04,073 –> 00:32:04,993
Oh, the asterisk,
862
00:32:04,993 –> 00:32:05,833
like what is that?
863
00:32:08,393 –> 00:32:09,673
So did they know,
864
00:32:09,673 –> 00:32:10,313
did they not?
865
00:32:10,313 –> 00:32:11,313
And it’s got to,
866
00:32:12,073 –> 00:32:14,473
it can’t be nestled because she accepts way too much
867
00:32:14,473 –> 00:32:15,353
money from the nursing home,
868
00:32:16,073 –> 00:32:18,393
HCAM, Healthcare Association of Michigan.
869
00:32:18,793 –> 00:32:20,073
So does, so does Whitmer.
870
00:32:21,273 –> 00:32:22,113
So we get nothing.
871
00:32:23,193 –> 00:32:24,073
There’s no one out there.
872
00:32:24,873 –> 00:32:26,473
It’s a whole messy system,
873
00:32:26,953 –> 00:32:27,233
you know?
874
00:32:27,233 –> 00:32:28,153
And I’ll say,
875
00:32:28,273 –> 00:32:28,433
you know,
876
00:32:28,433 –> 00:32:30,513
it’s a five-year anniversary of COVID,
877
00:32:30,713 –> 00:32:32,313
but this is the fifth time I’ve been on your show,
878
00:32:33,913 –> 00:32:34,833
You know, the first time I came on,
879
00:32:34,833 –> 00:32:35,153
it was like,
880
00:32:35,153 –> 00:32:37,033
those COVID policies were deadly,
881
00:32:37,433 –> 00:32:37,753
you know,
882
00:32:37,793 –> 00:32:38,833
and they’re covering debts up,
883
00:32:38,833 –> 00:32:39,753
they’re covering things up.
884
00:32:39,833 –> 00:32:41,113
The second time I came on,
885
00:32:41,353 –> 00:32:41,753
it was like,
886
00:32:41,913 –> 00:32:43,833
the treasurer’s ripping off one of my residents.
887
00:32:43,913 –> 00:32:45,193
The third time I came on,
888
00:32:45,273 –> 00:32:46,153
Nestle covered up.
889
00:32:46,393 –> 00:32:47,513
The 4th time I came on,
890
00:32:48,073 –> 00:32:50,793
filing for guardianship of a demented president.
891
00:32:50,873 –> 00:32:53,033
And now it’s my fifth time,
892
00:32:53,033 –> 00:32:54,233
like, who’s going to fix this shit?
893
00:32:54,633 –> 00:32:55,673
Everybody keeps asking,
894
00:32:55,673 –> 00:32:56,553
who’s going to fix this shit?
895
00:32:56,833 –> 00:32:59,273
I’m like, is it going to be your politician?
896
00:32:59,273 –> 00:33:00,793
Is it going to be the healthcare industry?
897
00:33:00,793 –> 00:33:01,953
Is it going to be the insurance?
898
00:33:01,953 –> 00:33:03,193
Is it going to be
899
00:33:03,673 –> 00:33:05,433
The media is going to draw attention to it.
900
00:33:05,673 –> 00:33:06,633
You’re the only one.
901
00:33:07,353 –> 00:33:10,913
I’m driving 200 miles to come to Detroit to help a
902
00:33:10,913 –> 00:33:12,153
senior in Grand Rapids.
903
00:33:12,793 –> 00:33:15,073
How pathetic is that?
904
00:33:15,233 –> 00:33:15,833
It’s worth it.
905
00:33:16,073 –> 00:33:17,593
Yeah, it’s worth it.
906
00:33:18,073 –> 00:33:18,753
Yeah, thank you.
907
00:33:18,953 –> 00:33:21,033
So, like, look,
908
00:33:21,033 –> 00:33:23,353
there’s there’s 100,
909
00:33:23,513 –> 00:33:25,393
200 billion into this hustle.
910
00:33:25,393 –> 00:33:26,353
And now a nursing home,
911
00:33:26,353 –> 00:33:27,273
as I understand it,
912
00:33:27,513 –> 00:33:30,473
and Jen or you can correct me if I’m wrong.
913
00:33:31,033 –> 00:33:31,913
the nursing home,
914
00:33:31,913 –> 00:33:34,393
the front of the house is supposed to be when you’re
915
00:33:34,673 –> 00:33:37,033
old and you broke a hip and you know,
916
00:33:37,033 –> 00:33:39,993
you got to get rehab and you can’t be at home.
917
00:33:40,233 –> 00:33:41,753
That’s Medicare.
918
00:33:41,913 –> 00:33:43,473
That’s why they’re federally licensed.
919
00:33:43,673 –> 00:33:45,433
You’re going to rehabilitate this person.
920
00:33:45,993 –> 00:33:51,113
In the back of the house is where it’s Medicaid,
921
00:33:51,513 –> 00:33:55,513
And it’s basically some people are demented and you
922
00:33:55,913 –> 00:33:58,153
know, but it’s basically
923
00:33:59,833 –> 00:34:01,673
senior living for poor people.
924
00:34:02,833 –> 00:34:04,193
I mean, Jen would be a better one.
925
00:34:04,193 –> 00:34:05,473
Yeah, that’s the way I view it.
926
00:34:06,233 –> 00:34:06,953
Jen would be agreed.
927
00:34:06,953 –> 00:34:08,633
And the inflated rate,
928
00:34:09,513 –> 00:34:10,953
because it’s a federal program,
929
00:34:11,433 –> 00:34:13,593
it’s $15,000 per person,
930
00:34:13,593 –> 00:34:14,233
two in a room,
931
00:34:14,393 –> 00:34:17,513
30 grand a month in a room,
932
00:34:17,913 –> 00:34:20,713
Now, when you were,
933
00:34:20,873 –> 00:34:23,233
I don’t even want to talk about the place you used
934
00:34:23,233 –> 00:34:25,153
to work, because they’re in some big trouble.
935
00:34:25,153 –> 00:34:26,233
We’ll just leave it at that.
936
00:34:26,233 –> 00:34:27,113
Keep your eye on it.
937
00:34:29,513 –> 00:34:32,473
Yours was like what I think of as the old folks home,
938
00:34:32,473 –> 00:34:33,033
like, you know,
939
00:34:33,033 –> 00:34:33,553
I’m sorry,
940
00:34:33,553 –> 00:34:34,633
it’s Beaver Cleaver.
941
00:34:34,713 –> 00:34:35,193
It’s, you know,
942
00:34:35,193 –> 00:34:36,713
I went in there like after,
943
00:34:36,873 –> 00:34:37,433
after, you know,
944
00:34:37,433 –> 00:34:39,433
you got canned and I’m like,
945
00:34:39,673 –> 00:34:40,233
it’s nice.
946
00:34:40,993 –> 00:34:42,313
Girl, waiting for the bus.
947
00:34:42,313 –> 00:34:43,273
They’re going somewhere.
948
00:34:43,913 –> 00:34:45,753
They’re playing pinochle in the corner.
949
00:34:45,953 –> 00:34:46,313
And you know,
950
00:34:46,313 –> 00:34:48,073
everybody got the blue hair,
951
00:34:48,233 –> 00:34:49,593
the nice carpet,
952
00:34:50,073 –> 00:34:50,873
very open,
953
00:34:51,433 –> 00:34:53,113
Oh, really nice.
954
00:34:54,033 –> 00:34:54,633
And I’ll tell you,
955
00:34:54,793 –> 00:34:55,593
like, you know,
956
00:34:55,593 –> 00:34:57,793
I’ve been in this industry for 15 years and I’m not
957
00:34:57,793 –> 00:34:58,873
tooting my own horn on this.
958
00:34:58,953 –> 00:34:59,673
Okay, go ahead.
959
00:34:59,833 –> 00:35:02,513
There is, you will never see a community like that
960
00:35:02,513 –> 00:35:03,033
ever again,
961
00:35:03,353 –> 00:35:04,713
because it was a home first.
962
00:35:05,153 –> 00:35:07,113
You know, those residents were the ones that created
963
00:35:07,113 –> 00:35:07,593
that home.
964
00:35:07,753 –> 00:35:09,633
Those families were the ones during COVID,
965
00:35:09,633 –> 00:35:10,793
they were the ones that saved us.
966
00:35:11,033 –> 00:35:13,673
It was a family and it was right in the community.
967
00:35:13,673 –> 00:35:14,713
Anything I needed,
968
00:35:14,953 –> 00:35:16,153
the neighborhood was there.
969
00:35:16,393 –> 00:35:17,273
The families were there.
970
00:35:17,273 –> 00:35:18,473
The high school kids were there.
971
00:35:18,633 –> 00:35:20,073
They absolutely saved our ass.
972
00:35:20,553 –> 00:35:23,633
And it gave me a whole different perspective when everybody
973
00:35:23,633 –> 00:35:24,633
else is living in fear.
974
00:35:24,633 –> 00:35:27,913
And I got to see the most beautiful side of society
975
00:35:27,913 –> 00:35:28,793
and what’s out there,
976
00:35:28,793 –> 00:35:29,833
the humanity of like,
977
00:35:30,633 –> 00:35:31,393
It’s a family.
978
00:35:31,393 –> 00:35:32,233
People care.
979
00:35:32,233 –> 00:35:35,833
Was that what drove your decision to do Archangels?
980
00:35:36,313 –> 00:35:37,273
Well, I want to,
981
00:35:37,313 –> 00:35:38,153
before you do that,
982
00:35:39,753 –> 00:35:40,273
add Heather,
983
00:35:40,273 –> 00:35:41,673
because I didn’t vogue in there.
984
00:35:41,833 –> 00:35:43,913
Like, do most people have their own room?
985
00:35:44,673 –> 00:35:45,353
Do all of them?
986
00:35:45,593 –> 00:35:46,273
Oh, it’s beautiful.
987
00:35:46,673 –> 00:35:48,633
Everybody’s got their own room and they got this.
988
00:35:49,193 –> 00:35:53,113
bingo night and dancing and kids’
989
00:35:53,113 –> 00:35:54,633
grandchildren visiting.
990
00:35:54,713 –> 00:35:56,153
It’s in the neighborhood.
991
00:35:56,313 –> 00:35:57,513
The food’s very good.
992
00:35:57,753 –> 00:35:59,913
I was there at mealtime just smelling it,
993
00:35:59,913 –> 00:36:00,233
you know,
994
00:36:00,633 –> 00:36:01,473
peeking around,
995
00:36:01,473 –> 00:36:02,073
doing my thing.
996
00:36:03,273 –> 00:36:05,033
That’s what I imagined it to be.
997
00:36:05,873 –> 00:36:06,673
And that’s what it was.
998
00:36:06,673 –> 00:36:10,393
And what did that cost a month for your own room,
999
00:36:10,713 –> 00:36:12,033
nice food,
1000
00:36:12,313 –> 00:36:13,793
people licking in on you,
1001
00:36:14,873 –> 00:36:16,793
People helping you with your medicine.
1002
00:36:16,833 –> 00:36:18,233
At the absolute highest.
1003
00:36:18,233 –> 00:36:19,153
I’ll give you the highest rate.
1004
00:36:19,153 –> 00:36:20,073
Okay, the penthouse,
1005
00:36:22,433 –> 00:36:24,473
7300 a month.
1006
00:36:25,073 –> 00:36:27,593
Our average was about 54.
1007
00:36:27,993 –> 00:36:28,953
So to compare that.
1008
00:36:28,953 –> 00:36:30,313
Well, that’s before Biden inflation,
1009
00:36:30,313 –> 00:36:31,193
but you guys get the idea,
1010
00:36:31,913 –> 00:36:33,833
Yeah, but like we could do that.
1011
00:36:33,833 –> 00:36:34,713
We’re not a corporate.
1012
00:36:34,953 –> 00:36:35,913
You know, we were independent.
1013
00:36:36,073 –> 00:36:37,913
So I didn’t have all the huge corporate overhead.
1014
00:36:37,913 –> 00:36:38,393
But right now,
1015
00:36:38,473 –> 00:36:39,233
if you go into one,
1016
00:36:39,233 –> 00:36:40,873
you’re looking at about 7:00 to 8:00.
1017
00:36:41,553 –> 00:36:42,553
Thousand starting.
1018
00:36:43,273 –> 00:36:44,873
Yeah, that’s with the Biden inflation.
1019
00:36:45,153 –> 00:36:45,513
And I’m like,
1020
00:36:46,913 –> 00:36:51,593
and we’re paying $15,000 a month to have two people.
1021
00:36:51,753 –> 00:36:54,553
So 30,000 to have people in a cinder block room.
1022
00:36:54,753 –> 00:36:57,633
And it’s basically just assisted living for old people.
1023
00:36:58,073 –> 00:36:59,353
And they need more money.
1024
00:36:59,513 –> 00:37:01,633
That’s the that’s the federal part.
1025
00:37:01,633 –> 00:37:03,113
Like the federal part when it’s.
1026
00:37:04,673 –> 00:37:05,913
when you’re poor,
1027
00:37:06,233 –> 00:37:07,433
it’s bad,
1028
00:37:07,433 –> 00:37:08,073
but you’re paying,
1029
00:37:08,633 –> 00:37:10,313
we’re paying double the rate for them,
1030
00:37:11,113 –> 00:37:13,393
And then there’s the people that can afford the,
1031
00:37:13,753 –> 00:37:15,033
let’s call it today’s money,
1032
00:37:15,113 –> 00:37:16,513
6 grand, 7 grand,
1033
00:37:17,353 –> 00:37:18,873
Who saved their whole life.
1034
00:37:19,273 –> 00:37:22,153
And they might not want to be in a great big thing
1035
00:37:22,473 –> 00:37:23,993
like Heather Hills,
1036
00:37:24,033 –> 00:37:25,873
which has over 100 people living there,
1037
00:37:26,073 –> 00:37:26,393
You don’t,
1038
00:37:27,033 –> 00:37:28,553
You don’t want to move out of the neighborhood.
1039
00:37:28,633 –> 00:37:29,913
It’s the only thing out there for them.
1040
00:37:30,393 –> 00:37:30,873
You know, no,
1041
00:37:30,873 –> 00:37:31,433
they don’t want,
1042
00:37:31,673 –> 00:37:34,033
they realize they probably have to leave their homes
1043
00:37:34,033 –> 00:37:34,513
at some point,
1044
00:37:34,513 –> 00:37:35,993
but they don’t want to leave their neighborhoods.
1045
00:37:36,273 –> 00:37:37,433
You know, it’s where their churches is,
1046
00:37:37,433 –> 00:37:38,393
their families are there.
1047
00:37:38,633 –> 00:37:40,713
So, but there’s nothing there for them.
1048
00:37:40,993 –> 00:37:42,873
And so that’s why I started getting a different idea
1049
00:37:43,473 –> 00:37:45,113
and looking at it a little differently.
1050
00:37:45,193 –> 00:37:48,113
Go ahead, because I brought it up a few shows now.
1051
00:37:50,073 –> 00:37:53,593
Like the grand idea being being.
1052
00:37:54,233 –> 00:37:55,993
We had to coin it because it’s not out there.
1053
00:37:56,313 –> 00:37:57,913
And we call it Nestle.
1054
00:37:58,073 –> 00:37:59,193
Neighborhood Environment Senior.
1055
00:37:59,193 –> 00:38:00,153
Oh, don’t call it Nestle.
1056
00:38:01,833 –> 00:38:03,673
Neighborhood Environment Senior Living.
1057
00:38:14,553 –> 00:38:16,233
I want an investigation.
1058
00:38:16,553 –> 00:38:17,873
I’m thinking more like nestle,
1059
00:38:17,873 –> 00:38:19,353
like you nestle in for the night.
1060
00:38:19,433 –> 00:38:20,433
Nestle into your neighborhood.
1061
00:38:22,633 –> 00:38:23,353
That kind.
1062
00:38:25,473 –> 00:38:26,313
All right,
1063
00:38:26,673 –> 00:38:27,913
Go ahead, man.
1064
00:38:29,913 –> 00:38:34,353
You can’t even stop laughing.
1065
00:38:36,793 –> 00:38:37,753
But, you know,
1066
00:38:37,753 –> 00:38:39,673
they want to stay in their neighborhoods.
1067
00:38:39,993 –> 00:38:41,673
Why can’t we have them in our neighborhoods?
1068
00:38:41,673 –> 00:38:43,353
Why wouldn’t you want them in your neighborhoods?
1069
00:38:43,593 –> 00:38:45,273
They’re A wealth of information.
1070
00:38:45,753 –> 00:38:47,433
I mean, these are retired accountants,
1071
00:38:49,113 –> 00:38:51,193
You know, if you walk away from the neighborhood or
1072
00:38:51,193 –> 00:38:52,313
you go on vacation,
1073
00:38:52,313 –> 00:38:53,353
these people watch your dogs.
1074
00:38:53,353 –> 00:38:54,593
They’re the best neighbors to have.
1075
00:38:55,033 –> 00:38:57,113
Why aren’t we bringing them back into our neighborhoods?
1076
00:38:57,513 –> 00:38:58,473
And that’s where I’m thinking,
1077
00:38:58,473 –> 00:39:00,393
like, cut out the corporate side of it,
1078
00:39:00,873 –> 00:39:02,313
have really nice homes,
1079
00:39:02,473 –> 00:39:03,273
really nice homes.
1080
00:39:03,513 –> 00:39:05,273
and then put our care aids in there,
1081
00:39:05,273 –> 00:39:06,713
the ones that really do care,
1082
00:39:06,833 –> 00:39:09,193
and we can train them and put them right in there.
1083
00:39:09,433 –> 00:39:10,873
Now it’s career changing for them.
1084
00:39:11,113 –> 00:39:13,193
It’s where the seniors want to be,
1085
00:39:13,433 –> 00:39:14,553
the families prefer it,
1086
00:39:14,673 –> 00:39:15,953
and they’re right back in our neighborhood.
1087
00:39:15,953 –> 00:39:17,513
So you decorporatize it,
1088
00:39:17,513 –> 00:39:18,633
you whittle it down,
1089
00:39:18,633 –> 00:39:19,833
you localize it,
1090
00:39:20,073 –> 00:39:22,593
and there’s like 2 wings I’m looking at.
1091
00:39:22,593 –> 00:39:24,073
There’s the public money.
1092
00:39:24,873 –> 00:39:26,633
I don’t know how we ever solved that one,
1093
00:39:27,833 –> 00:39:29,033
I live in such a neighborhood,
1094
00:39:29,033 –> 00:39:29,553
you know what I mean?
1095
00:39:29,553 –> 00:39:31,713
I’m just up there on top of Ferndale,
1096
00:39:31,713 –> 00:39:33,153
and everybody loves the neighborhood.
1097
00:39:33,153 –> 00:39:33,793
And in Ferndale,
1098
00:39:33,793 –> 00:39:34,233
they love it.
1099
00:39:34,233 –> 00:39:34,953
They love everybody.
1100
00:39:35,673 –> 00:39:36,993
We don’t want to leave the neighborhood,
1101
00:39:36,993 –> 00:39:39,833
but now you got 3 widows and widowers.
1102
00:39:39,833 –> 00:39:41,113
Hey, why don’t we combine?
1103
00:39:43,033 –> 00:39:44,593
Most people don’t want to leave their neighborhoods,
1104
00:39:44,913 –> 00:39:46,233
They don’t want to leave their homes.
1105
00:39:46,393 –> 00:39:48,313
They also offer a degree of stability,
1106
00:39:48,313 –> 00:39:50,313
not even just for the family,
1107
00:39:50,313 –> 00:39:52,033
but the community and the city at large.
1108
00:39:53,313 –> 00:39:54,233
Well said,
1109
00:39:54,233 –> 00:39:57,313
because you know,
1110
00:39:57,833 –> 00:40:02,193
like why people don’t like to move because they get
1111
00:40:02,193 –> 00:40:03,073
a strange feeling.
1112
00:40:03,073 –> 00:40:03,873
I don’t, I don’t want them.
1113
00:40:03,873 –> 00:40:05,033
It’s just a very stressful thing.
1114
00:40:05,153 –> 00:40:05,993
And then divorce,
1115
00:40:05,993 –> 00:40:07,433
death, those are all stressful things.
1116
00:40:08,153 –> 00:40:09,433
And then all of a sudden you’re 80?
1117
00:40:10,553 –> 00:40:11,433
Here, go over there.
1118
00:40:11,553 –> 00:40:12,713
And throughout history,
1119
00:40:12,793 –> 00:40:14,313
we have valued our elders.
1120
00:40:15,633 –> 00:40:16,873
And now it’s like…
1121
00:40:18,233 –> 00:40:19,833
Now they’re a commodity now,
1122
00:40:20,793 –> 00:40:22,593
Die behind the window so we can’t see.
1123
00:40:22,593 –> 00:40:23,593
That’s where all the wealth is.
1124
00:40:23,913 –> 00:40:25,673
Okay, so that’s Archangel.
1125
00:40:25,673 –> 00:40:26,393
So what I’m gonna do,
1126
00:40:26,393 –> 00:40:28,673
we’re gonna come back after this.
1127
00:40:28,673 –> 00:40:29,433
Hey, and Jen,
1128
00:40:29,913 –> 00:40:30,393
you there?
1129
00:40:31,393 –> 00:40:35,273
I want you to listen to this business model.
1130
00:40:35,273 –> 00:40:36,633
I want to get your take on it,
1131
00:40:37,433 –> 00:40:38,233
When we come back.
1132
00:40:38,673 –> 00:40:39,513
Okay, we’re gonna have
1133
00:40:41,353 –> 00:40:42,073
Leah Osborne,
1134
00:40:42,073 –> 00:40:43,433
the vice president of Archangels,
1135
00:40:43,433 –> 00:40:45,513
kind of lay out what the vision is.
1136
00:40:45,673 –> 00:40:47,113
Okay, right after this.
1137
00:40:47,353 –> 00:40:47,873
Well, you know,
1138
00:40:47,873 –> 00:40:48,473
when it rains,
1139
00:40:48,473 –> 00:40:49,353
the power goes out.
1140
00:40:49,353 –> 00:40:50,633
And when the power goes out,
1141
00:40:50,633 –> 00:40:51,513
the internet goes out.
1142
00:40:51,513 –> 00:40:52,633
When the internet goes out,
1143
00:40:52,633 –> 00:40:55,833
I call my friend Matt and Bernie at XG Service Group.
1144
00:40:55,993 –> 00:40:57,833
Look at Bernie here on his hands and knees,
1145
00:40:58,073 –> 00:40:59,353
giving it everything he’s got.
1146
00:40:59,913 –> 00:41:01,113
Look at that man crack.
1147
00:41:01,433 –> 00:41:03,953
So busy, he forgot to wear a belt.
1148
00:41:03,993 –> 00:41:05,073
There’s Matt right there.
1149
00:41:05,173 –> 00:41:06,093
We’re getting the board together.
1150
00:41:06,093 –> 00:41:08,813
That’s 734-245-4100.
1151
00:41:08,813 –> 00:41:11,693
If you need Matt and Bernie to come take care of your
1152
00:41:11,693 –> 00:41:12,653
voice over internet,
1153
00:41:12,813 –> 00:41:14,013
your security cameras,
1154
00:41:14,173 –> 00:41:15,853
off-campus access control,
1155
00:41:16,093 –> 00:41:18,453
Wi-Fi and cameras for homes and business,
1156
00:41:18,453 –> 00:41:19,533
they’ll design it for you.
1157
00:41:19,853 –> 00:41:20,653
You got restaurants,
1158
00:41:20,653 –> 00:41:21,853
they do drive-thru systems,
1159
00:41:21,853 –> 00:41:23,613
railroad cameras for public safety,
1160
00:41:23,773 –> 00:41:27,053
total wireless camera systems for your home and business.
1161
00:41:27,293 –> 00:41:27,773
Yeah, that’s right.
1162
00:41:27,773 –> 00:41:31,493
Call XG Services at 734-245-4100.
1163
00:41:32,733 –> 00:41:35,373
Okay, so I look at Joe as like Robin Hood.
1164
00:41:36,173 –> 00:41:36,893
You know what I mean?
1165
00:41:36,893 –> 00:41:39,693
Just trying to help the helpless.
1166
00:41:39,853 –> 00:41:42,653
And Robin Hood never handled the money.
1167
00:41:42,813 –> 00:41:44,013
Friar Tuck handled the money.
1168
00:41:44,013 –> 00:41:45,373
And I want to introduce Friar Tuck.
1169
00:41:46,173 –> 00:41:46,973
It’s Leah Osborne,
1170
00:41:46,973 –> 00:41:48,813
the vice president of Archangel.
1171
00:41:48,813 –> 00:41:49,213
How you doing,
1172
00:41:50,253 –> 00:41:50,973
Welcome to town.
1173
00:41:51,373 –> 00:41:51,653
All right.
1174
00:41:51,693 –> 00:41:52,893
Move your mic in front of you.
1175
00:41:55,613 –> 00:41:55,933
There you go.
1176
00:41:56,013 –> 00:41:56,613
Now we can hear you.
1177
00:41:56,613 –> 00:41:57,373
Turn it towards you.
1178
00:41:58,813 –> 00:41:59,093
Oh, oh, you,
1179
00:41:59,093 –> 00:41:59,373
that’s right.
1180
00:42:00,293 –> 00:42:00,573
Thank you,
1181
00:42:01,853 –> 00:42:02,773
All right,
1182
00:42:02,813 –> 00:42:03,533
test your voice.
1183
00:42:03,533 –> 00:42:04,093
Do you have a voice?
1184
00:42:04,093 –> 00:42:05,013
Yes, I have a voice.
1185
00:42:05,013 –> 00:42:05,813
Okay, beautiful.
1186
00:42:07,973 –> 00:42:08,813
What do you got there?
1187
00:42:12,493 –> 00:42:13,213
Okay, look,
1188
00:42:13,933 –> 00:42:15,933
Archangel’s looking for investors.
1189
00:42:16,253 –> 00:42:17,933
It’s looking for caregivers.
1190
00:42:18,493 –> 00:42:22,893
It is a franchise.
1191
00:42:23,373 –> 00:42:25,933
It is a real estate investor.
1192
00:42:25,933 –> 00:42:27,693
Explain clearly
1193
00:42:28,333 –> 00:42:28,893
how it works.
1194
00:42:29,453 –> 00:42:30,293
It’s all those things.
1195
00:42:30,293 –> 00:42:33,133
It’s basically brokering kind of three companies to
1196
00:42:33,133 –> 00:42:34,093
partner together.
1197
00:42:34,413 –> 00:42:35,933
We’re a senior management company.
1198
00:42:35,933 –> 00:42:39,693
We’ve partnered with a nursing school and we’ve bought
1199
00:42:39,693 –> 00:42:42,813
the franchise rates for the entire state for a system.
1200
00:42:43,293 –> 00:42:46,573
So this is our way of solving this hot mess that we’ve
1201
00:42:46,573 –> 00:42:47,133
been left with.
1202
00:42:47,293 –> 00:42:48,533
So you have a system,
1203
00:42:48,733 –> 00:42:50,493
it’s a care book,
1204
00:42:50,493 –> 00:42:53,053
like here’s how you get the pharmacy to come.
1205
00:42:53,133 –> 00:42:53,893
Here’s, right?
1206
00:42:54,253 –> 00:42:55,613
All the stuff you would need,
1207
00:42:55,853 –> 00:42:56,453
open the book,
1208
00:42:56,453 –> 00:42:57,253
how do we accomplish that?
1209
00:42:57,253 –> 00:42:58,253
It’s your business things,
1210
00:42:58,253 –> 00:42:59,773
it’s your electronic medicals,
1211
00:42:59,773 –> 00:43:00,413
it’s everything.
1212
00:43:00,493 –> 00:43:01,533
Electronic medicals.
1213
00:43:01,693 –> 00:43:02,133
Hear that?
1214
00:43:02,133 –> 00:43:03,293
Electronic medicals,
1215
00:43:03,413 –> 00:43:05,213
which would be in the home.
1216
00:43:06,013 –> 00:43:07,533
It’s not just a babysitter,
1217
00:43:07,533 –> 00:43:08,573
it’s a real deal.
1218
00:43:10,973 –> 00:43:14,253
and the nursing school or the caregiver school,
1219
00:43:14,413 –> 00:43:16,413
because as Jen was saying,
1220
00:43:16,893 –> 00:43:18,093
everybody just split,
1221
00:43:18,173 –> 00:43:19,413
they’re not getting paid,
1222
00:43:19,413 –> 00:43:20,573
COVID wrecked it.
1223
00:43:21,933 –> 00:43:24,573
One wing of Archangel Senior Management is.
1224
00:43:25,373 –> 00:43:27,373
We’ve partnered with a CNA school.
1225
00:43:29,053 –> 00:43:30,453
Certified nursing assistant.
1226
00:43:30,453 –> 00:43:31,693
Okay, you’ve partnered with the school.
1227
00:43:32,973 –> 00:43:35,853
And what we’re doing with them is we’re able to,
1228
00:43:36,333 –> 00:43:38,893
we’ve created a training program and we’re doing a
1229
00:43:38,893 –> 00:43:42,813
training center for them to bring them in and train
1230
00:43:42,813 –> 00:43:46,093
them and then pair them with a perfect investor.
1231
00:43:46,893 –> 00:43:48,093
Okay, now the investor,
1232
00:43:48,093 –> 00:43:48,813
that’s the part.
1233
00:43:49,293 –> 00:43:50,373
You’re looking for investors.
1234
00:43:50,373 –> 00:43:51,293
You have investors,
1235
00:43:51,293 –> 00:43:52,733
but you’re always looking for investors.
1236
00:43:52,733 –> 00:43:55,853
And what is the proposal to an investor?
1237
00:43:56,653 –> 00:43:58,173
To allow this qualified,
1238
00:43:58,173 –> 00:43:59,013
fully trained,
1239
00:43:59,013 –> 00:44:01,213
certified nursing assistant or CNA,
1240
00:44:01,853 –> 00:44:05,573
for the opportunity to come in and run their own 12
1241
00:44:05,573 –> 00:44:07,213
bed and under assisted living home.
1242
00:44:08,013 –> 00:44:09,373
And what’s the investor doing?
1243
00:44:09,693 –> 00:44:10,973
Investing in the property,
1244
00:44:10,973 –> 00:44:12,493
investing in a pool?
1245
00:44:12,493 –> 00:44:13,053
How does that work?
1246
00:44:13,053 –> 00:44:14,333
They’re investing in the person.
1247
00:44:15,773 –> 00:44:17,053
But what’s the money for?
1248
00:44:17,053 –> 00:44:18,653
To get the property?
1249
00:44:21,213 –> 00:44:22,413
retrofit the house,
1250
00:44:22,653 –> 00:44:24,653
right, with those chairs that go up the stairs,
1251
00:44:24,653 –> 00:44:25,773
that kind of thing?
1252
00:44:25,853 –> 00:44:28,093
Yeah, we’ve not only done the three companies,
1253
00:44:28,093 –> 00:44:31,773
but we’ve identified our place in the market and we’ve
1254
00:44:31,773 –> 00:44:33,293
developed new training programs.
1255
00:44:33,293 –> 00:44:35,293
We’ve just moved into our home office.
1256
00:44:35,693 –> 00:44:39,213
And what we’re doing is working with investors to set
1257
00:44:39,213 –> 00:44:40,413
up our training facility.
1258
00:44:40,893 –> 00:44:44,013
And we’re also working with the community and seeking
1259
00:44:44,013 –> 00:44:46,373
donations for a state-of-the-art training center to
1260
00:44:46,413 –> 00:44:48,893
bring in all these nursing assistants and all these
1261
00:44:48,893 –> 00:44:49,893
franchisees to…
1262
00:44:51,533 –> 00:44:53,133
No, no, I just want to add,
1263
00:44:53,133 –> 00:44:55,613
is this a unique business model or is this a business
1264
00:44:56,093 –> 00:44:57,213
How unique is this?
1265
00:44:57,373 –> 00:44:59,133
It has never been done before.
1266
00:44:59,133 –> 00:45:01,013
It is a solution to this hot mess.
1267
00:45:01,013 –> 00:45:02,933
So it is a brand new concept.
1268
00:45:02,933 –> 00:45:05,773
Okay, is it something that once stabilized here,
1269
00:45:05,773 –> 00:45:07,973
you seek to take maybe across the country to other
1270
00:45:08,493 –> 00:45:09,373
Absolutely.
1271
00:45:09,373 –> 00:45:10,893
It is just so simple.
1272
00:45:12,493 –> 00:45:14,893
It’s just brokering different people with hearts and
1273
00:45:14,893 –> 00:45:17,613
characters to focus on what’s important and taking
1274
00:45:17,613 –> 00:45:18,653
care of these residents.
1275
00:45:18,653 –> 00:45:21,053
I do know this model is decentralizing corporate.
1276
00:45:21,053 –> 00:45:24,813
This model is taking root in like Arizona,
1277
00:45:25,533 –> 00:45:27,293
There are pockets of this,
1278
00:45:27,933 –> 00:45:28,573
So, I mean,
1279
00:45:28,573 –> 00:45:30,493
it’s it’s not in Michigan.
1280
00:45:31,613 –> 00:45:33,293
And we know how rotten it is.
1281
00:45:33,293 –> 00:45:34,013
And to me,
1282
00:45:36,293 –> 00:45:38,453
You know, I’m 59 now and I’m like,
1283
00:45:39,533 –> 00:45:40,333
Where do you want to go,
1284
00:45:40,573 –> 00:45:41,333
Where do you want us to play?
1285
00:45:41,373 –> 00:45:42,013
Well, okay,
1286
00:45:42,093 –> 00:45:42,333
you know,
1287
00:45:43,133 –> 00:45:44,773
think in the worst case scenario,
1288
00:45:45,453 –> 00:45:46,573
where you’re all alone.
1289
00:45:47,693 –> 00:45:53,093
I do not want to be in an apartment complex with 120
1290
00:45:53,413 –> 00:45:54,293
I just, I don’t.
1291
00:45:54,293 –> 00:45:55,453
I’m crotchety as it is.
1292
00:45:55,533 –> 00:45:56,413
I don’t want to.
1293
00:45:56,973 –> 00:45:59,213
And I certainly don’t want to be in the place that
1294
00:45:59,693 –> 00:46:01,693
Jen worked.
1295
00:46:01,773 –> 00:46:03,493
I just can’t imagine it.
1296
00:46:03,493 –> 00:46:05,533
So I would think it would be
1297
00:46:06,253 –> 00:46:08,653
It’s simple,
1298
00:46:08,973 –> 00:46:11,213
Nobody wants to go to an institution.
1299
00:46:11,213 –> 00:46:13,373
They want to stay in their neighborhood and community.
1300
00:46:13,373 –> 00:46:13,773
That’s home.
1301
00:46:13,773 –> 00:46:15,933
Well, people deserve some dignity too.
1302
00:46:16,013 –> 00:46:18,653
And I find that people that work the hardest in their
1303
00:46:18,653 –> 00:46:21,973
lives have to live the worst at the end of their lives.
1304
00:46:21,973 –> 00:46:24,493
And it shouldn’t be that way either.
1305
00:46:24,933 –> 00:46:26,653
It’s scary for all of us.
1306
00:46:26,653 –> 00:46:29,373
Now, Jen, this is what you do in your life.
1307
00:46:30,133 –> 00:46:30,893
What does that sound?
1308
00:46:30,893 –> 00:46:31,613
Do you have any questions?
1309
00:46:31,613 –> 00:46:32,893
Does that sound interesting?
1310
00:46:33,133 –> 00:46:34,653
Like you, if you were,
1311
00:46:34,653 –> 00:46:35,213
let’s say,
1312
00:46:36,253 –> 00:46:40,173
the chief caregiver of one of these homes,
1313
00:46:40,333 –> 00:46:44,093
you would have the ability to buy it like a franchise.
1314
00:46:44,893 –> 00:46:45,773
Able to expect.
1315
00:46:47,013 –> 00:46:48,973
Count me in.
1316
00:46:48,973 –> 00:46:49,573
Count me in.
1317
00:46:49,573 –> 00:46:53,733
That’s not perfect because you can’t just put a bunch
1318
00:46:53,733 –> 00:46:56,573
of people from all different backgrounds in the same
1319
00:46:56,573 –> 00:46:58,093
spot at the same tables,
1320
00:46:58,093 –> 00:47:00,173
expect for everybody to get along and there not be
1321
00:47:00,173 –> 00:47:00,813
problems.
1322
00:47:02,813 –> 00:47:04,213
So you need management.
1323
00:47:04,213 –> 00:47:05,213
You need good staff.
1324
00:47:06,093 –> 00:47:07,373
Yeah, you need good staff,
1325
00:47:07,373 –> 00:47:08,413
you need good managers,
1326
00:47:08,413 –> 00:47:11,493
and you need managers that appreciate the staff and
1327
00:47:11,533 –> 00:47:13,453
show it and tell them.
1328
00:47:13,973 –> 00:47:15,373
And if the investor,
1329
00:47:15,373 –> 00:47:17,373
like let’s say there’s property,
1330
00:47:17,373 –> 00:47:18,893
the investor’s getting a return,
1331
00:47:19,213 –> 00:47:23,093
Because everybody’s paying and it’s a functioning piece
1332
00:47:23,093 –> 00:47:25,853
of profitable property,
1333
00:47:25,933 –> 00:47:26,813
that’s what it is.
1334
00:47:27,533 –> 00:47:30,333
But then let’s say Jen comes in and she’s the chief
1335
00:47:30,333 –> 00:47:30,973
caregiver,
1336
00:47:31,053 –> 00:47:32,173
she has the ability
1337
00:47:33,413 –> 00:47:35,933
to buy into it like it like it’s a franchise and then
1338
00:47:36,013 –> 00:47:38,693
she becomes a businesswoman and not just a caregiver.
1339
00:47:38,693 –> 00:47:39,293
Is that correct?
1340
00:47:39,933 –> 00:47:42,773
Jen’s the absolutely like the perfect person to come
1341
00:47:42,773 –> 00:47:44,333
in and run an assisted living.
1342
00:47:44,973 –> 00:47:47,373
Instead of working in a giant institution where she’s
1343
00:47:47,373 –> 00:47:48,973
short on staff and resources,
1344
00:47:48,973 –> 00:47:51,373
she’s going to be in a beautiful home in a neighborhood
1345
00:47:51,533 –> 00:47:52,893
with 12 residents or less.
1346
00:47:52,893 –> 00:47:55,213
She’s going to know every one of those residents by
1347
00:47:55,213 –> 00:47:55,933
their first name.
1348
00:47:55,933 –> 00:47:58,813
They’re going to have a relationship in it.
1349
00:48:00,533 –> 00:48:01,453
It’s just simple.
1350
00:48:01,453 –> 00:48:03,253
It’s what should have been done all along.
1351
00:48:03,773 –> 00:48:04,973
Jen, I’m going to give you a number.
1352
00:48:04,973 –> 00:48:05,933
You’re not going to write it down.
1353
00:48:05,933 –> 00:48:08,333
I doubt it because she’s actually at work.
1354
00:48:09,373 –> 00:48:09,853
I’m writing it.
1355
00:48:10,253 –> 00:48:10,893
Okay, ready?
1356
00:48:11,453 –> 00:48:11,853
Are you ready?
1357
00:48:15,613 –> 00:48:19,333
Okay, 989-614-0416.
1358
00:48:19,333 –> 00:48:19,853
I’ll do it again.
1359
00:48:25,133 –> 00:48:26,253
And who does she ask for,
1360
00:48:26,253 –> 00:48:27,053
Leah, you or Joe?
1361
00:48:28,413 –> 00:48:30,813
As for the president or vice president,
1362
00:48:30,813 –> 00:48:31,933
Joe and Leah,
1363
00:48:32,253 –> 00:48:33,573
Archangel Senior Management,
1364
00:48:35,133 –> 00:48:37,133
Because I think I did this on purpose.
1365
00:48:37,613 –> 00:48:40,573
I think you could be a linchpin.
1366
00:48:42,013 –> 00:48:43,293
I absolutely believe that.
1367
00:48:43,773 –> 00:48:46,653
Nurse Jen would be absolutely perfect because so many
1368
00:48:46,653 –> 00:48:48,893
nurses, just like John and healthcare professionals,
1369
00:48:48,893 –> 00:48:49,933
are undervalued.
1370
00:48:51,453 –> 00:48:54,013
And this establishes a career path where they can have
1371
00:48:54,013 –> 00:48:56,653
an opportunity to have that value to do what’s right
1372
00:48:56,653 –> 00:48:59,173
for their residents and in their communities.
1373
00:48:59,173 –> 00:49:01,933
But isn’t that why most people go into nursing or some
1374
00:49:01,933 –> 00:49:02,653
form of caregiving,
1375
00:49:02,653 –> 00:49:03,053
because they care?
1376
00:49:03,053 –> 00:49:06,533
It is and we lose along the way because of the process
1377
00:49:06,533 –> 00:49:07,533
and the focus on profit.
1378
00:49:07,533 –> 00:49:09,933
So this is a simple care-focused.
1379
00:49:09,933 –> 00:49:11,413
It becomes a business.
1380
00:49:12,893 –> 00:49:14,333
Jen, let me ask you something.
1381
00:49:15,213 –> 00:49:16,373
During COVID,
1382
00:49:17,133 –> 00:49:17,773
did you cry?
1383
00:49:20,813 –> 00:49:21,693
I cried A lot.
1384
00:49:22,453 –> 00:49:27,293
And you walked into that hell that you worked in,
1385
00:49:27,453 –> 00:49:30,373
just, I’ve never been in it.
1386
00:49:30,373 –> 00:49:31,053
I mean, it’s just,
1387
00:49:32,973 –> 00:49:34,893
we could do so much better than what we did.
1388
00:49:37,533 –> 00:49:38,973
It was tragic,
1389
00:49:39,813 –> 00:49:41,253
sad, you know,
1390
00:49:41,693 –> 00:49:42,333
all those,
1391
00:49:42,413 –> 00:49:43,213
all those words.
1392
00:49:43,213 –> 00:49:48,573
It was just a really horrendous end to people’s lives.
1393
00:49:50,173 –> 00:49:50,893
Let’s fix it.
1394
00:49:50,973 –> 00:49:52,253
Nothing’s been done.
1395
00:49:53,053 –> 00:49:53,613
It’s been settling.
1396
00:49:53,613 –> 00:49:55,933
Now you, for to build out,
1397
00:49:56,093 –> 00:49:59,133
you’ve partnered with a CNA school,
1398
00:49:59,133 –> 00:50:00,173
yes, but you know,
1399
00:50:00,173 –> 00:50:02,693
you’re building out your own facilities and for the
1400
00:50:02,693 –> 00:50:04,013
facilities you’re looking for,
1401
00:50:04,333 –> 00:50:05,373
communal donations?
1402
00:50:06,293 –> 00:50:08,533
Yeah, we were working with investors and we’ve identified
1403
00:50:08,533 –> 00:50:11,893
2 absolutely perfect properties in upscale neighborhoods
1404
00:50:11,893 –> 00:50:12,733
and things like that.
1405
00:50:13,013 –> 00:50:14,573
What we’re fundraising for,
1406
00:50:14,573 –> 00:50:16,133
seeking the community’s help with,
1407
00:50:16,573 –> 00:50:19,613
is raising dollars for our state-of-the-art training
1408
00:50:20,013 –> 00:50:23,933
That’s going to bring in CNAs and nurses like Jen and
1409
00:50:23,933 –> 00:50:26,973
healthcare professionals and our franchisees and allows
1410
00:50:26,973 –> 00:50:30,013
us to train them and then send them back out into
1411
00:50:30,013 –> 00:50:30,573
the communities.
1412
00:50:30,573 –> 00:50:31,333
Okay, wonderful,
1413
00:50:31,333 –> 00:50:32,093
because that means,
1414
00:50:32,253 –> 00:50:32,653
you know,
1415
00:50:33,053 –> 00:50:35,453
you see a nurse when you’re sick,
1416
00:50:35,893 –> 00:50:36,893
But these are like,
1417
00:50:37,533 –> 00:50:38,493
you’re not sick,
1418
00:50:38,573 –> 00:50:39,053
but if you,
1419
00:50:39,133 –> 00:50:39,533
you know,
1420
00:50:39,533 –> 00:50:40,693
so you’re there for that.
1421
00:50:40,693 –> 00:50:41,573
And if you get sick,
1422
00:50:41,573 –> 00:50:42,413
what do you know how to do?
1423
00:50:42,493 –> 00:50:44,413
So it’s, you know,
1424
00:50:44,413 –> 00:50:46,413
it’s a living provider.
1425
00:50:46,973 –> 00:50:50,253
Do you have a website or GoFundMe or anything?
1426
00:50:50,413 –> 00:50:51,213
Yes, we are.
1427
00:50:51,453 –> 00:50:53,373
We are launching A GoFundMe campaign,
1428
00:50:53,373 –> 00:50:54,573
which we’ll get that out.
1429
00:50:54,733 –> 00:50:58,333
And then we do have our website as well at archangelsenior.com.
1430
00:50:58,493 –> 00:50:59,453
Okay, excellent.
1431
00:50:59,853 –> 00:51:00,613
You got the number,
1432
00:51:01,813 –> 00:51:03,173
I’m going to wrap that up.
1433
00:51:03,733 –> 00:51:04,253
that part.
1434
00:51:04,333 –> 00:51:05,293
We need to do better.
1435
00:51:05,293 –> 00:51:06,053
We haven’t.
1436
00:51:06,053 –> 00:51:08,573
We don’t even know what happened.
1437
00:51:09,213 –> 00:51:10,173
And we must,
1438
00:51:10,573 –> 00:51:12,493
or we’re going to be back at it again.
1439
00:51:12,893 –> 00:51:14,493
Remember that 9-11 analogy.
1440
00:51:14,893 –> 00:51:18,493
And there are very few people really thinking about
1441
00:51:18,493 –> 00:51:19,293
how to change it.
1442
00:51:19,453 –> 00:51:20,413
I think it’s you.
1443
00:51:20,653 –> 00:51:24,093
And there’s also that federal money component of it.
1444
00:51:24,413 –> 00:51:26,653
There’s the private people like we are.
1445
00:51:26,653 –> 00:51:28,133
We won’t get Medicaid,
1446
00:51:28,333 –> 00:51:29,373
but there’s that part of it.
1447
00:51:29,373 –> 00:51:30,413
So if you’re listening,
1448
00:51:30,733 –> 00:51:32,013
If you’re truly listening,
1449
00:51:32,213 –> 00:51:33,373
and I know y’all listen,
1450
00:51:34,173 –> 00:51:34,813
call them up,
1451
00:51:34,813 –> 00:51:37,773
989-614-0416.
1452
00:51:37,933 –> 00:51:42,213
And I also know that the big corps are trying to grab
1453
00:51:42,213 –> 00:51:43,053
this model too.
1454
00:51:43,053 –> 00:51:44,453
So, you know,
1455
00:51:45,133 –> 00:51:46,333
something’s in the works.
1456
00:51:47,453 –> 00:51:48,493
Finally, I just want to,
1457
00:51:48,573 –> 00:51:52,413
if we, last week we wrote about and talked about and
1458
00:51:52,413 –> 00:51:53,853
had on Pastor
1459
00:51:54,693 –> 00:51:55,213
Charles E.
1460
00:51:55,213 –> 00:51:55,893
Brooks, Jr.
1461
00:51:55,893 –> 00:51:56,693
from the East Side,
1462
00:51:56,693 –> 00:51:57,493
and here,
1463
00:51:57,493 –> 00:51:58,733
just a little refresher here.
1464
00:51:59,133 –> 00:52:02,893
I have worked really hard to build my business and
1465
00:52:02,893 –> 00:52:06,733
my family homes right here on Lakewood and Chalmers.
1466
00:52:08,453 –> 00:52:09,773
What I need to share with you,
1467
00:52:09,773 –> 00:52:11,653
it may cost me my life,
1468
00:52:12,253 –> 00:52:16,213
and I pray that it doesn’t cause any harm to my family.
1469
00:52:17,453 –> 00:52:20,733
Inside these envelopes is the documents,
1470
00:52:21,333 –> 00:52:22,693
and you’re not gonna believe
1471
00:52:23,533 –> 00:52:24,333
what the mayor,
1472
00:52:25,373 –> 00:52:26,173
Mike Duggan,
1473
00:52:26,653 –> 00:52:30,293
and the Devilish Detroit Land Bank has done.
1474
00:52:31,453 –> 00:52:34,733
They have literally taken my home.
1475
00:52:35,853 –> 00:52:37,213
Well, we got an update.
1476
00:52:37,773 –> 00:52:38,813
The Lord heard,
1477
00:52:40,013 –> 00:52:41,533
the chief of police heard,
1478
00:52:42,333 –> 00:52:44,173
and this past week,
1479
00:52:44,813 –> 00:52:48,893
the chief came over to the estate and handled the
1480
00:52:48,893 –> 00:52:52,733
canceled lawsuit back to Pastor Brooks.
1481
00:52:53,533 –> 00:52:54,653
And the lean is gone,
1482
00:52:55,173 –> 00:52:56,773
and may he continue to do God’s work.
1483
00:52:57,933 –> 00:52:59,053
Charlie, let me say this.
1484
00:52:59,653 –> 00:53:00,733
Negative Nelly over here.
1485
00:53:00,973 –> 00:53:02,493
I’m going to go out on the high note.
1486
00:53:03,213 –> 00:53:04,093
I have to say,
1487
00:53:04,133 –> 00:53:04,733
I’m sorry.
1488
00:53:04,973 –> 00:53:08,013
But when we talk about lack of accountability,
1489
00:53:08,133 –> 00:53:09,293
when the media doesn’t,
1490
00:53:09,453 –> 00:53:11,173
social media has kind of taken over,
1491
00:53:11,173 –> 00:53:12,213
and that’s how that started,
1492
00:53:12,213 –> 00:53:13,093
and you talked about it,
1493
00:53:13,093 –> 00:53:14,333
and then people respond.
1494
00:53:14,333 –> 00:53:15,373
It’s unfortunate.
1495
00:53:15,653 –> 00:53:19,453
But without that type of reporting and attention,
1496
00:53:19,613 –> 00:53:21,853
there is no accountability anywhere.
1497
00:53:22,293 –> 00:53:24,093
And that’s why nothing is getting done.
1498
00:53:24,653 –> 00:53:26,093
Long live journalism.
1499
00:53:26,653 –> 00:53:27,373
Now you can go out.
1500
00:53:27,693 –> 00:53:30,013
Well, there’s way a little bit of a negative part now.
1501
00:53:30,813 –> 00:53:33,893
So the day after he got his lien back in the canceled
1502
00:53:33,893 –> 00:53:35,533
lawsuit at 9 in the morning,
1503
00:53:35,533 –> 00:53:38,173
the water department showed up to shut off his water.
1504
00:53:39,293 –> 00:53:42,973
Calls were made and the water still floweth.
1505
00:53:45,453 –> 00:53:46,333
See you next week.
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