1
00:00:00,240 --> 00:00:02,600
Speaker 1: Set up pre sat on the iHeart Radio app to

2
00:00:02,640 --> 00:00:06,000
Speaker 1: dou w o R to hear Mark live. Set another

3
00:00:06,160 --> 00:00:10,160
Speaker 1: from Mark's podcast to hear him anytime. Now back to

4
00:00:10,280 --> 00:00:15,800
Speaker 1: Mark Simon on w o R. Well, let's take some calls.

5
00:00:15,880 --> 00:00:19,680
Speaker 1: Let's go to uh, let's go to Danny in Boston. Danny,

6
00:00:19,680 --> 00:00:20,279
Speaker 1: how you doing?

7
00:00:21,920 --> 00:00:25,360
Speaker 2: Hi? Mark? I just want to say that if legal immigrations.

8
00:00:24,880 --> 00:00:27,720
Speaker 1: Got translate for people are living in New York, mock

9
00:00:27,880 --> 00:00:29,639
Speaker 1: means Mark, it's from Boston.

10
00:00:30,000 --> 00:00:34,280
Speaker 2: Oh all right, mister Simon, the legal immigration's got to

11
00:00:34,360 --> 00:00:37,280
Speaker 2: go too, because we're getting flooded now. It's ridiculous. And

12
00:00:37,680 --> 00:00:38,360
Speaker 2: what's going on?

13
00:00:38,680 --> 00:00:40,520
Speaker 1: How much snow do you have there in Boston right now?

14
00:00:41,680 --> 00:00:44,160
Speaker 2: Oh we're supposed to just like you said, we're getting

15
00:00:44,200 --> 00:00:47,239
Speaker 2: more Sunday, but it's we're bury here. We have so

16
00:00:47,320 --> 00:00:49,280
Speaker 2: many third worlders they don't know how to shovel snow.

17
00:00:49,600 --> 00:00:51,560
Speaker 2: That's why legal immigrations.

18
00:00:52,400 --> 00:00:54,120
Speaker 1: If you need snow shovel that's how you get the

19
00:00:54,160 --> 00:00:56,960
Speaker 1: third world is that's uh, the illegals, that's through shovels

20
00:00:56,960 --> 00:01:01,080
Speaker 1: the snow. Where are you? Where are you in Boston?

21
00:01:02,520 --> 00:01:05,080
Speaker 2: I'm considered as southeas I love, but i love the

22
00:01:05,120 --> 00:01:08,000
Speaker 2: North end of the Italian restaurants. Still there's still beautiful

23
00:01:08,440 --> 00:01:10,160
Speaker 2: and delicious, of course.

24
00:01:10,680 --> 00:01:10,800
Speaker 1: Uh.

25
00:01:10,920 --> 00:01:12,319
Speaker 2: The thing is now, it's funny.

26
00:01:13,080 --> 00:01:16,760
Speaker 1: Southea was South Boston. Southee was like the bad, bad area.

27
00:01:16,840 --> 00:01:18,480
Speaker 1: Now it's like the hottest place in the world. Now

28
00:01:18,480 --> 00:01:20,920
Speaker 1: it's the meat packing district of Boston.

29
00:01:21,560 --> 00:01:24,240
Speaker 2: Uh So what's all the hippies? All the hippies, hippies

30
00:01:24,240 --> 00:01:26,160
Speaker 2: and yappies are up there. They all lived in there.

31
00:01:26,720 --> 00:01:28,600
Speaker 2: Did the governor mean he wants to do?

32
00:01:28,760 --> 00:01:31,640
Speaker 1: She wants to translate for those here in New York Governor,

33
00:01:31,720 --> 00:01:35,320
Speaker 1: it means, Governor, Uh, I love your Boston accent. It's great,

34
00:01:35,440 --> 00:01:38,360
Speaker 1: thanks for calling. Uh. It happens in a lot of

35
00:01:38,360 --> 00:01:43,720
Speaker 1: neighborhoods Dorchester, Southey in Boston, or not Dorchester as they

36
00:01:43,800 --> 00:01:45,600
Speaker 1: say in Boston Dorchester.

37
00:01:46,440 --> 00:01:47,319
Speaker 3: Uh.

38
00:01:47,480 --> 00:01:50,360
Speaker 1: They're these rundown, rough neighborhoods with these old timers, and

39
00:01:50,360 --> 00:01:52,480
Speaker 1: then all of a sudden they become like the meatpacking district.

40
00:01:52,520 --> 00:01:56,040
Speaker 1: They become the hottest place. There's a million twenty somethings

41
00:01:56,120 --> 00:01:59,160
Speaker 1: running around and drives these old timers crazy. Let's go

42
00:01:59,240 --> 00:02:03,440
Speaker 1: to Richard in Bay Shore. Richard, how you doing, Hey.

43
00:02:03,160 --> 00:02:06,360
Speaker 3: Good morning, Mark two quick points, one about Holman and

44
00:02:06,400 --> 00:02:10,400
Speaker 3: one about Preddy. I think Holman should wear his medal

45
00:02:10,440 --> 00:02:12,480
Speaker 3: that Obama gave him whenever he can. I mean, he

46
00:02:12,520 --> 00:02:16,200
Speaker 3: makes a public appearance, I think it'll you know that

47
00:02:16,280 --> 00:02:19,120
Speaker 3: he formerly met streaming press can't ignore it, and it'll

48
00:02:19,280 --> 00:02:22,520
Speaker 3: treate a discussion which will be I think positive.

49
00:02:23,120 --> 00:02:25,760
Speaker 1: Well it's a good idea, but Holman's not the type

50
00:02:25,800 --> 00:02:27,720
Speaker 1: to do it. He's not a grand standard. Even said

51
00:02:27,720 --> 00:02:29,720
Speaker 1: at the beginning of this press compas this morning is

52
00:02:30,120 --> 00:02:35,640
Speaker 1: I'm not a photo ops guy. He's You remember the

53
00:02:35,639 --> 00:02:41,239
Speaker 1: Seinfeld episode where they got to meet Elaine's father played

54
00:02:41,240 --> 00:02:44,079
Speaker 1: by the old actor Lawrence Tierney, and he's just a

55
00:02:44,160 --> 00:02:47,000
Speaker 1: gruff guy. They get all uncomfortable with the guy that's

56
00:02:47,040 --> 00:02:48,680
Speaker 1: home and I mean, he's a great guy. I'm an

57
00:02:48,720 --> 00:02:52,280
Speaker 1: American hero, but it wouldn't want to spend New Year's

58
00:02:52,280 --> 00:02:53,720
Speaker 1: Eve with him. Let's just put it that way. He's

59
00:02:53,760 --> 00:02:55,440
Speaker 1: not the most lively guy in the world. But he's

60
00:02:55,440 --> 00:02:59,840
Speaker 1: a very very top top guy, perfect guy in this situation,

61
00:03:00,360 --> 00:03:04,600
Speaker 1: and his press conference today was brilliant, exactly the right tone.

62
00:03:04,880 --> 00:03:07,640
Speaker 1: Let's go to Freddy in Long Island. Freddie, how you.

63
00:03:07,760 --> 00:03:11,120
Speaker 4: Doing first time called a first time call a monk.

64
00:03:11,560 --> 00:03:12,720
Speaker 4: I have two questions for you.

65
00:03:14,440 --> 00:03:17,680
Speaker 2: The first question is how do you what do you

66
00:03:17,720 --> 00:03:21,200
Speaker 2: think about the percentage of the protesters that are paid

67
00:03:21,320 --> 00:03:22,040
Speaker 2: in Minnesota.

68
00:03:22,240 --> 00:03:25,919
Speaker 1: Oh, it's a very good point. Many of them are organized, paid,

69
00:03:26,440 --> 00:03:29,680
Speaker 1: and Holman said today of those of you financing this,

70
00:03:30,280 --> 00:03:34,480
Speaker 1: justice is coming soon, so there is an investigation tracking

71
00:03:34,520 --> 00:03:35,680
Speaker 1: the money. Second question, what.

72
00:03:35,640 --> 00:03:37,960
Speaker 3: Do you think the percentages of the of the people though.

73
00:03:37,880 --> 00:03:38,360
Speaker 4: That are there.

74
00:03:39,120 --> 00:03:41,640
Speaker 2: What percentage you think it is that are paid protesters

75
00:03:41,640 --> 00:03:42,440
Speaker 2: of all the people that.

76
00:03:42,640 --> 00:03:46,240
Speaker 1: It's probably fifty percent because when you start this, well,

77
00:03:46,280 --> 00:03:50,960
Speaker 1: I don't know, I'm just guessing it could be okay,

78
00:03:51,120 --> 00:03:55,720
Speaker 1: when you start this kind of stuff, it's the paid protesters.

79
00:03:55,760 --> 00:03:58,760
Speaker 1: We've seen the trucks pull up passing out the signs

80
00:03:58,760 --> 00:04:01,640
Speaker 1: that are all obviously from the same printer, very expensive printing.

81
00:04:02,480 --> 00:04:05,000
Speaker 1: Remember we saw that in the twenty twenty summer riots,

82
00:04:05,000 --> 00:04:07,200
Speaker 1: where the truck would pull up and pass out bats

83
00:04:07,240 --> 00:04:11,600
Speaker 1: and bricks to everybody. Very organized, very well financed. But

84
00:04:11,640 --> 00:04:15,360
Speaker 1: then they start online. Everybody's tweeting and you know, in chats,

85
00:04:15,960 --> 00:04:17,760
Speaker 1: letting everybody know where they are. So when they let

86
00:04:17,839 --> 00:04:21,400
Speaker 1: everybody know where they paid protesters are then a million

87
00:04:22,240 --> 00:04:26,080
Speaker 1: amateurs will show up and join in. But Homan making

88
00:04:26,120 --> 00:04:28,280
Speaker 1: a clear they are tracking the money and they will

89
00:04:28,320 --> 00:04:31,480
Speaker 1: be coming after they DJ will be coming after some people.

90
00:04:31,839 --> 00:04:34,280
Speaker 1: Let's go to Dave in Orange County. Dave, how you doing?

91
00:04:35,320 --> 00:04:39,200
Speaker 4: Hey, I do, Bud. The reason why Belichick has gotten

92
00:04:39,240 --> 00:04:41,480
Speaker 4: Hall of Fame close. He's just not a nice person.

93
00:04:42,400 --> 00:04:44,080
Speaker 4: He's mean, he's arrogant.

94
00:04:44,240 --> 00:04:47,279
Speaker 1: He's that's half the guys in the NFL, that's half

95
00:04:47,279 --> 00:04:48,000
Speaker 1: the quarner back.

96
00:04:48,160 --> 00:04:50,240
Speaker 4: Yeah. Well, well, you know what, he takes it a

97
00:04:50,279 --> 00:04:52,920
Speaker 4: little too far, you know what I mean? I know,

98
00:04:53,080 --> 00:04:56,559
Speaker 4: you know, you could be a hard guy and also

99
00:04:57,440 --> 00:04:58,159
Speaker 4: be respectful.

100
00:04:58,200 --> 00:05:00,000
Speaker 1: Hey, I hate to say it. I hate to say

101
00:05:00,120 --> 00:05:02,520
Speaker 1: because I knew the guy. But there was nobody meaner,

102
00:05:03,120 --> 00:05:05,480
Speaker 1: nastier than Joe DiMaggio. But he got in the Hall

103
00:05:05,520 --> 00:05:10,039
Speaker 1: of Fame. Oh okay, I'm sorry. I didn't realize. Hey,

104
00:05:10,200 --> 00:05:11,880
Speaker 1: how much snow do you have? How much snow do

105
00:05:11,880 --> 00:05:12,800
Speaker 1: you have an Orange County?

106
00:05:13,680 --> 00:05:15,160
Speaker 4: Oh? We got we got a good amount.

107
00:05:15,279 --> 00:05:18,200
Speaker 1: We got two feet up here, two feet Oh my.

108
00:05:18,880 --> 00:05:21,400
Speaker 4: The problem is that it's not going anywhere, you know,

109
00:05:21,680 --> 00:05:23,960
Speaker 4: It's just it's mouths abounds of.

110
00:05:24,000 --> 00:05:26,640
Speaker 1: Snow, all right. It made me feel better. You made

111
00:05:26,640 --> 00:05:28,479
Speaker 1: me feel better. He's got these got two feet, we

112
00:05:28,560 --> 00:05:31,479
Speaker 1: got six inches. We shouldn't complain so much. Uh, I

113
00:05:31,480 --> 00:05:32,680
Speaker 1: didn't have to go to the gym this week. I

114
00:05:32,760 --> 00:05:35,800
Speaker 1: just get enough excise jumping over puddles, climbing up snow banks.

115
00:05:37,640 --> 00:05:40,800
Speaker 1: So they do have these big, huge, enormous machines. It

116
00:05:40,839 --> 00:05:44,479
Speaker 1: looks like a big enormous truck. And you take the snow,

117
00:05:44,560 --> 00:05:46,160
Speaker 1: you plow it up, and you dump it into this

118
00:05:46,240 --> 00:05:48,839
Speaker 1: thing and it melts it down to water and gets

119
00:05:48,920 --> 00:05:49,240
Speaker 1: rid of it.

120
00:05:50,120 --> 00:05:50,240
Speaker 3: Uh.

121
00:05:50,560 --> 00:05:54,839
Speaker 1: Some shopping centers used them. Uh, there was the plow.

122
00:05:55,200 --> 00:05:56,800
Speaker 1: You know, when you plow a shopping center, you end

123
00:05:56,880 --> 00:05:59,200
Speaker 1: up piling up the snow. You lose half your parking spaces.

124
00:05:59,600 --> 00:06:02,479
Speaker 1: But if you got these snow melters, you just dump

125
00:06:02,520 --> 00:06:04,960
Speaker 1: it into there and eventually can clear the whole parking lot,

126
00:06:05,080 --> 00:06:07,920
Speaker 1: all the snows gone. They started bringing these things into

127
00:06:07,920 --> 00:06:09,760
Speaker 1: the city last night. I don't know how many they have,

128
00:06:10,560 --> 00:06:13,039
Speaker 1: but they're starting to do that with the snow. The

129
00:06:13,080 --> 00:06:15,440
Speaker 1: other thing they do is they now start plowing up

130
00:06:15,480 --> 00:06:18,320
Speaker 1: this snow that's piled up on the sides there, put

131
00:06:18,320 --> 00:06:20,200
Speaker 1: it in the trucks and go dump it in the river,

132
00:06:20,839 --> 00:06:23,800
Speaker 1: so that operation started yesterday. Hey, when we come back.

133
00:06:23,880 --> 00:06:27,599
Speaker 1: The greatest political analyst, the Dean himself, ed Rollins next

134
00:06:27,880 --> 00:06:29,680
Speaker 1: on seven to ten wor